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This open access book provides a basic introduction to feature modelling and analysis as well as to the integration of AI methods with feature modelling. It is intended as an introduction for researchers and practitioners who are new to the field and will also serve as a state-of-the-art reference to this audience. While focusing on the AI perspective, the book covers the topics of feature modelling (including languages and semantics), feature model analysis, and interacting with feature model configurators. These topics are discussed along the AI areas of knowledge representation and reasoning, explainable AI, and machine learning.

Code Smells erkennen und mithilfe inspirierender Rezepte beseitigen - Ideale Ergänzung zu Robert C. Martins Klassiker »Clean Code« - Die eigenen Programmierfähigkeiten verbessern - durch eine Vielzahl inspirierender Rezepte - Beispiele in gängigen Programmiersprachen wie JavaScript, PHP, Java, Python u.v.a. Bis hin zu komplexen Problemen und anspruchsvollen Refactoring-Rezepten. Entwickler, Software Engineers und -Architektinnen, die mit einer umfangreichen Codebasis arbeiten, müssen ihren Code effektiv pflegen und erweitern. In diesem Kochbuch vermittelt Maximiliano Contieri das Konzept des Clean Code, geht aber noch einen Schritt weiter. Er zeigt, wie Sie Verbesserungspotenziale identifizieren und deren Auswirkungen auf den Produktionscode beurteilen. Mithilfe der vorgestellten Techniken kann die Zuverlässigkeit und Entwicklungsfähigkeit der Systeme deutlich verbessert werden. Anhand von Beispielen in JavaScript, PHP, Python, Java und vielen anderen Programmiersprachen bietet dieses Kochbuch bewährte Rezepte, die Sie bei der Erweiterung und Wartung größerer Systeme unterstützen. Contieri beschreibt grundlegende Konzepte wie Lesbarkeit, Kopplung, Testbarkeit, Sicherheit und Erweiterbarkeit sowie Code Smells und Rezepte zu deren Beseitigung. Im Verlauf dieses Buches werden die Refactoring-Rezepte und die Probleme, die sie lösen, immer komplexer. Sie werden: - die Vorteile von Clean Code verstehen und lernen, wie Sie Verbesserungsmöglichkeiten identifizieren - Refactoring-Techniken Schritt für Schritt erlernen - sich mit der Theorie hinter Clean Code vertraut machen - Beispiele aus der Praxis in verschiedenen modernen Programmiersprachen untersuchen - in einem Katalog mit Code Smells stöbern, deren Auswirkungen und Lösungsansätze zu ihrer Beseitigung nachvollziehen - Code schreiben, der auf den Punkt kommt, leichter zu lesen und zu verstehen ist

Leverage software architecture as an effective tool for product development and build better software faster. Effective Software Architecture is the essential handbook for making software architecture an effective practice within product development organizations and processes while putting whole software teams on the same page. Industry elite Oliver Goldman provides a comprehensive perspective on the set of real-world skills and practices this work requires: a predictable, repeatable design process; the ability to make decisions expediently and effectively; a comprehensive and consistent communication strategy; tools that promote efficiency; and a team that is greater than the sum of its parts. Goldman's engaging prose articulates why software architecture is essential to building great software products, release after release. Rather than focusing on a specific architectural style or technology, this book's goal is to make software architects better at managing change, design, decision making, and team communication while helping software product managers, program managers, UX designers, and other team members understand how architecture functions within the software development process. Goldman's work is essential to helping the whole team achieve success. Understand software architecture and its role in product development Learn to effectively communicate about software architecture Employ architectural strategies for consistent, reliable design results Make architecture an integral aspect of product development Integrate architectural thinking into whole development organizations Effective Software Architecture is a guide for making software architecture an effective tool for product development. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

This book provides a comprehensive, empirically grounded exploration of how Generative AI is reshaping the landscape of software development. It emphasizes the empirical evaluation of Generative AI tools in real-world scenarios, offering insights into their practical efficacy, limitations, and impact. By presenting case studies, surveys, and interviews from various software development contexts, the book offers a global perspective on the integration of Generative AI, highlighting how these advanced tools are adapted to and influence diverse cultural, organizational, and technological environments. This book is structured to provide a comprehensive understanding of Generative AI and its transformative impact on the field of software engineering. The book is divided into five parts, each focusing on different aspects of Generative AI in software development. As an introduction, Part 1 presents the fundamentals of Generative AI adoption. Part 2 is a collection of empirical studies and delves into the practical aspects of integrating Generative AI tools in software engineering, with a focus on patterns, methodologies, and comparative analyses. Next, Part 3 presents case studies that showcase the application and impact of Generative AI in various software development contexts. Part 4 then examines how Generative AI is reshaping software engineering processes, from collaboration and workflow to management and agile development. Finally, Part 5 looks towards the future, exploring emerging trends, future directions, and the role of education in the context of Generative AI. The book offers diverse perspectives as it compiles research and experiences from various countries and software development environments. It also offers non-technical discussions about Generative AI in management, teamwork, business and education. This way, it is intended for both researchers in software engineering and for professionals in industry who want to learn about the impactof Generative AI on software development.

Accessibility is a core quality of digital products to be deliberately addressed throughout the development lifecycle. What Every Engineer Should Know About Digital Accessibility will prepare readers to integrate digital accessibility into their engineering practices. Readers will learn how to accurately frame accessibility as an engineering challenge so they are able to address the correct problems in the correct way.Illustrated with diverse perspectives from accessibility practitioners and advocates, this book describes how people with disabilities use technology, the nature of accessibility barriers in the digital world, and the role of engineers in breaking down those barriers. Accessibility competence for current, emerging, and future technologies is addressed through a combination of guiding principles, core attributes and requirements, and accessibility‑informed engineering practices.FEATURES Discusses how technology can support inclusion for people with disabilities and how rigorous engineering processes help create quality user experiences without introducing accessibility barriers Explains foundational principles and guidelines that build core competency in digital accessibility as they are applied across diverse and emerging technology platforms Highlights practical insights into how engineering teams can effectively address accessibility throughout the technology development lifecycle Uses international standards to define and measure accessibility quality Written to be accessible to non‑experts in the subject area, What Every Engineer Should Know About Digital Accessibility is aimed at students, professionals, and researchers in the field of software engineering.

This book provides an overview of software security analysis in a DevOps cycle including requirements formalisation, verification and continuous monitoring. It presents an overview of the latest techniques and tools that help engineers and developers verify the security requirements of large-scale industrial systems and explains novel methods that enable a faster feedback loop for verifying security-related activities, which rely on techniques such as automated testing, model checking, static analysis, runtime monitoring, and formal methods. The book consists of three parts, each covering a different aspect of security engineering in the DevOps context. The first part,'Security Requirements', explains how to specify and analyse security issues in a formal way. The second part,'Prevention at Development Time', offers a practical and industrial perspective on how to design, develop and verify secure applications. The third part,'Protection at Operations', eventually introduces tools for continuous monitoring of security events and incidents. Overall, it covers several advanced topics related to security verification, such as optimizing security verification activities, automatically creating verifiable specifications from security requirements and vulnerabilities, and using these security specifications to verify security properties against design specifications and generate artifacts such as tests or monitors that can be used later in the DevOps process. The book aims at computer engineers in general and does not require specific knowledge. In particular, it is intended for software architects, developers, testers, security professionals, and tool providers, who want to define, build, test, and verify secure applications, Web services, and industrial systems.

Learn the principles of good software design and then turn those principles into great code. This book introduces you to software engineering — from the application of engineering principles to the development of software. You'll see how to run a software development project, examine the different phases of a project, and learn how to design and implement programs that solve specific problems. This book is also about code construction — how to write great programs and make them work. This new third edition is revamped to reflect significant changes in the software development landscape with updated design and coding examples and figures. Extreme programming takes a backseat, making way for expanded coverage of the most crucial agile methodologies today: Scrum, Lean Software Development, Kanban, and Dark Scrum. Agile principles are revised to explore further functionalities of requirement gathering. The authors venture beyond imperative and object-oriented languages, exploring the realm of scripting languages in an expanded chapter on Code Construction. The Project Management Essentials chapter has been revamped and expanded to incorporate'SoftAware Development” to discuss the crucial interpersonal nature of joint software creation. Whether you're new to programming or have written hundreds of applications, in this book you'll re-examine what you already do, and you'll investigate ways to improve. Using the Java language, you'll look deeply into coding standards, debugging, unit testing, modularity, and other characteristics of good programs. You Will Learn Modern agile methodologies How to work on and with development teams How to leverage the capabilities of modern computer systems with parallel programming How to work with design patterns to exploit application development best practices How to use modern tools for development, collaboration, and source code controls Who This Book Is For Early career software developers, or upper-level students in software engineering courses

This book offers a practical introduction to the use of artificial intelligence (AI) techniques to improve and optimise the various phases of the software development process, from the initial project planning to the latest deployment. All chapters were written by leading experts in the field and include practical and reproducible examples. Following the introductory chapter, Chapters 2-9 respectively apply AI techniques to the classic phases of the software development process: project management, requirement engineering, analysis and design, coding, cloud deployment, unit and system testing, and maintenance. Subsequently, Chapters 10 and 11 provide foundational tutorials on the AI techniques used in the preceding chapters: metaheuristics and machine learning. Given its scope and focus, the book represents a valuable resource for researchers, practitioners and students with a basic grasp of software engineering.

The high failure rate of enterprise resource planning (ERP) projects is a pressing concern for both academic researchers and industrial practitioners. The challenges of an ERP implementation are particularly high when the project involves designing and developing a system from scratch. Organizations often turn to vendors and consultants for handling such projects but, every aspect of an ERP project is opaque for both customers and vendors. Unlocking the mysteries of building a large-scale ERP system, The Adventurous and Practical Journey to a Large-Scale Enterprise Solution tells the story of implementing an applied enterprise solution. The book covers the field of enterprise resource planning by examining state-of-the-art concepts in software project management methodology, design and development integration policy, and deployment framework, including: A hybrid project management methodology using waterfall as well as a customized Scrum-based approach A novel multi-tiered software architecture featuring an enhanced flowable process engine A unique platform for coding business processes efficiently Integration to embed ERP modules in physical devices A heuristic-based framework to successfully step into the Go-live period Written to help ERP project professionals, the book charts the path that they should travel from project ideation to systems implementation. It presents a detailed, real-life case study of implementing a large-scale ERP and uses storytelling to demonstrate incorrect and correct decisions frequently made by vendors and customers. Filled with practical lessons learned, the book explains the ins and outs of adopting project methodologies. It weaves a tale that features both real-world and scholarly aspects of an ERP implementation.

Software is everywhere, but despite being so common and useful, it remains magical and mysterious to many. Still, more and more people are finding themselves working for tech companies, or with an array of software products, services, and tools. This can segregate those who understand tech from those that don't. But it doesn't have to be this way.This book aims to bring these two worlds closer together, allowing people to learn basic concepts of software development in a casual and straight-forward way. Assuming no previous technical knowledge, you'll embark on a journey where you can understand and build a new software project from scratch until it is an advanced product with multiple users. A Friendly Guide to Software Development makes technical concepts broadly available and easy to understand. Imagine moving from a “traditional” company and suddenly finding yourself in one where software is the main product or is a foundational component to it. One is often left to wade through the infinite concepts while still doing their actual jobs. This book closes that gap. In doing so, you'll be able to achieve better communication, which will undoubtedly lead to better working relationships, a better working environment, and ultimately better software.What You'll LearnSee how a new software project is createdExamine the basics of software development and architectureKnow which questions to ask to avoid potential problems and pitfallsStart using and building software projectsWho This Book Is ForThose without a traditional technical background people like business and project managers who need to work closely with software developers and teamsPeople who are interested in building a software system but don't know where to start.Programmers who want to jump to development but have no experience in the industry and its common concepts

This book guides the reader through a design process that was tested and optimized in companies and design bureaus. It not only smoothly integrates modern product development techniques, but also addresses, for each phase, issues related to the management of intangible assets. There are several books on the product design process, as well as on the development of innovative products in general. However, none of them addresses how to integrate the engineering techniques with the necessary aspects of Intellectual Property Management. With a focus on software intensive products in general, the book presents a meta-process that adapts to product design in any area where the software element is an important factor in product functionality and innovation.

If you're new to Python, it can be tough to understand when, where, and how to use all its language features. This friendly guide shows you how the Python ecosystem fits together, and grounds you in the skills you need to continue your journey to being a software developer.Summary Inside The Well-Grounded Python Developer you will discover: Building modules of functionality Creating a well-constructed web server application Integrating database access into your Python applications Refactor and decoupling systems to help scale them How to think about the big picture of your application The Well-Grounded Python Developer builds on Python skills you've learned in isolation and shows you how to unify them into a meaningful whole. It helps you understand the dizzying array of libraries and teaches important concepts, like modular construction, APIs, and the design of a basic web server. As you work through this practical guide, you'll discover how all the bits of Python link up as you build and modify a typical web server application—the kind of web app that's in high demand by modern businesses. About the technology As a new programmer, you're happy just to see your code run. A professional developer, on the other hand, needs to create software that runs reliably. It must be fast, maintainable, scalable, secure, well designed and documented, easy for others to update, and quick to ship. This book teaches you the skills you need to go from Python programmer to Python developer. About the book The Well-Grounded Python Developer shows you why Python, the world's most popular programming language, is a fantastic tool for professional development. It guides you through the most important skills, like how to name variables, functions, and classes, how to identify and write a good API, and how to use objects. You'll also learn how to deal with inevitable failures, how to make software that connects to the internet, core security practices, and many other professional-grade techniques. What's inside Create a web application Connect to a database Design programs to handle big tasks About the reader For experienced beginners who want to learn professional-level skills. About the author Doug Farrell has been a professional developer since 1983, and has worked with Python for over 20 years. Table of Contents 1 Becoming a Pythonista PART 1 - GROUNDWORK 2 That's a good name 3 The API: Let's talk 4 The object of conversation 5 Exceptional events PART 2 - FIELDWORK 6 Sharing with the internet 7 Doing it with style 8 Do I know you? Authentication 9 What can you do? Authorization 10 Persistence is good: Databases 11 I've got something to say 12 Are we there yet?

Build and upgrade an automated software delivery pipeline that supports containerization, integration testing, semantic versioning, automated deployment, and more.In Shipping Go you will learn how to: Develop better software based on feedback from customers Create a development pipeline that turns feedback into features Reduce bugs with pipeline automation that validates code before it is deployed Establish continuous testing for exceptional code quality Serverless, container-based, and server-based deployments Scale your deployment in a cost-effective way Deliver a culture of continuous improvement Shipping Go is a hands-on guide to shipping Go-based software. Author Joel Holmes shows you the easy way to set up development pipelines, fully illustrated with practical examples in the powerful Go language. You'll put continuous delivery and continuous integration into action, and discover instantly useful guidance on automating your team's build and reacting with agility to customer demands. Your new pipelines will ferry your projects through production and deployment, and also improve your testing, code quality, and production applications. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology An effective software delivery pipeline automates all stages, from initial design, through development, deployment, and ultimately the usage experience that feeds back into new features and releases. Go embraces the best practices of Continuous Delivery, and adds a few language-specific tools and twists of its own. About the Book Shipping Go shows you how to build Go-specific software development pipelines. You'll have a basic CI/CD process up and running by the time you finish Chapter 3, along with an iterative process for designing, releasing, and revising your applications. Then, you'll systematically upgrade your pipeline to support containerization, integration testing, semantic versioning, and automated deployment. A set of handy appendices help you translate these valuable practices to Kotlin, Python, and JavaScript applications. What's Inside Create a development pipeline that turns feedback into features Automatically validate code before it is deployed Serverless, container-based, and server-based deployments Scale your deployment in a cost-effective way About the Reader For Go developers. About the Author Joel Holmes builds cloud native applications, helping to architect, design, and develop them. A Golang tech lead, Aliénor Latour was the technical editor for this book. Table of Contents PART 1 - STARTUP 1 Delivering value 2 Introducing continuous integration 3 Introducing continuous testing 4 Introducing continuous deployment PART 2 - SCALING 5 Code quality enforcement 6 Testing frameworks, mocking, and dependencies 7 Containerized deployment PART 3 - GOING PUBLIC 8 Configuration management and stable releases 9 Integration testing 10 Advanced deployment 11 The loop

Gain a thorough understanding of DevOps concepts and learn to deploy AWS DevOps services in an organization. This book covers AWS DevOps deployment and building applications and services for enhanced performance. A Complete Guide to DevOps with AWS will show you how to use AWS DevOps to launch and scale services using AWS tools. It demonstrates how to handle infrastructure as code such as AWS CodeCommit, AWS CodeBuild, and AWS CodeArtifact, and how to adapt your software with familiar tools such as terraform and cloud formation. This practice also helps in the continuous integration and deployment of pipelines such as AWS CodeDeploy and AWS CodePipeline with different deployment strategies. You will also learn how to find bugs quicker, enhance software quality, reduce your time to market, and how to build, test, and prepare for a release with frequent code changes. You will also see how to scale your applications to provide maximum performance for users with high traffic. The book also covers monitoring and logging applications, giving an overall picture of the ecosystem of product development. It also explains Kubernetes in depth with AWS EKS. It concludes by walking you through how to build projects with AWS DevOps tools and technologies. After completing this book, you will have gained a solid understanding of the concepts of AWS DevOps through examples, including building projects with integration of software tools. What You Will Learn Automate processes with AWS toolsUnderstand AWS Services for Continuous deployment, and how to use themUse infrastructure as code with AWS in different formatsIntegrate AWS security into DevOps Who This Book Is For DevOps professionals and cloud engineers.

Explore Go testing techniques and leverage TDD to deliver and maintain microservices architecture, including contract, end-to-end, and unit testing Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesWrite Go test suites using popular mocking and testing frameworksLeverage TDD to implement testing at all levels of web applications and microservices architectureMaster the art of writing tests that cover edge cases and concurrent codeBook DescriptionExperienced developers understand the importance of designing a comprehensive testing strategy to ensure efficient shipping and maintaining services in production. This book shows you how to utilize test-driven development (TDD), a widely adopted industry practice, for testing your Go apps at different levels. You'll also explore challenges faced in testing concurrent code, and learn how to leverage generics and write fuzz tests. The book begins by teaching you how to use TDD to tackle various problems, from simple mathematical functions to web apps. You'll then learn how to structure and run your unit tests using Go's standard testing library, and explore two popular testing frameworks, Testify and Ginkgo. You'll also implement test suites using table-driven testing, a popular Go technique. As you advance, you'll write and run behavior-driven development (BDD) tests using Ginkgo and Godog. Finally, you'll explore the tricky aspects of implementing and testing TDD in production, such as refactoring your code and testing microservices architecture with contract testing implemented with Pact. All these techniques will be demonstrated using an example REST API, as well as smaller bespoke code examples. By the end of this book, you'll have learned how to design and implement a comprehensive testing strategy for your Go applications and microservices architecture.What you will learnCreate practical Go unit tests using mocks and assertions with TestifyBuild table-driven test suites for HTTP web applicationsWrite BDD-style tests using the Ginkgo testing frameworkUse the Godog testing framework to reliably test web applicationsVerify microservices architecture using Pact contract testingDevelop tests that cover edge cases using property testing and fuzzingWho this book is forIf you are an intermediate-level developer or software testing professional who knows Go fundamentals and is looking to deliver projects with Go, then this book is for you. Knowledge of Go syntax, structs, functions, and interfaces will help you get the most out of this book.

Deliver software that does what it's supposed to do! Behavior-Driven Development guides your software projects to success with collaboration, communication techniques, and concrete requirements you can turn into automated tests.In BDD in Action, Second Edition you'll learn how to: Implement and improve BDD practices Prioritize features from business goals Facilitate an example mapping session Write automated acceptance tests Scale up your automated acceptance tests Deliver accurate reporting and documentation Around half of all software projects fail to deliver on requirements. Behavior-Driven Development (BDD) helps make sure that yours isn't one of them. Behavior-Driven Development in Action, Second Edition teaches you how to ensure that everyone involved in a software project—from developers to non-technical stakeholders—are in agreement on goals and objectives. It lays out the communication skills, collaborative practices, and useful automation tools that will let you seamlessly succeed with BDD. Now in its second edition, this revised bestseller has been extensively updated with new techniques for incorporating BDD into large-scale and enterprise development practices such as Agile and DevOps. Foreword by Daniel Terhorst-North. About the Technology Behavior-Driven Development is a collaborative software design technique that organizes examples of an application's desired behavior into a concrete, testable specification. Because the BDD process gathers input from all areas of an organization, it maximizes the likelihood your software will satisfy both end users and business stakeholders. The established collaboration practices and automation strategies in this book will help you maximize the benefits of BDD for your dev team and your business clients. About the Book In BDD in Action, Second Edition, you'll learn to seamlessly integrate BDD into your existing development process. This thoroughly revised new edition now shows how to integrate BDD with DevOps and large-scale Agile systems. Practical examples introduce cross-functional team communication skills, leading a successful requirements analysis, and how to set up automated acceptance criteria. What's Inside How BDD positively affects teamwork, dynamics, and collaboration with stakeholders Help teams discover and analyze requirements, uncover assumptions, and reduce risks Make acceptance, integration, and unit testing more effective Automate reporting and living documentation to improve transparency About the Reader For all development teams. No experience with BDD required. Examples in Java, JavaScript, and TypeScript can be easily expressed in your chosen language. About the Author John Ferguson Smart is the creator of the Serenity BDD framework and founder of the Serenity Dojo training school. Jan Molak is the author of the Serenity/JS testing framework, Jenkins Build Monitor, and other CD and testing tools.

A strategic state-of-the-art software architecture manual for all skill levels In Software Architect, veteran enterprise and solution architect Michael Bell delivers a hands-on playbook of best practices for aspiring and practicing software architects, seeking to improve their software design, integration, communication, presentation, and knowledge acquisition skills. He explores the career enablement, career planning, self-training, and self-improvement topics you'll need to increase your ability to offer powerful and effective business and technological solutions. In the book, you'll learn how to help companies promote business and technological transformation by implementing modern and first-class software design, deployment, integration, and operations. Software Architect also includes: A modern software architect's toolbox that includes best practices for multi-dimensional software design and integration in an enterprise quantum computing ecosystem A breakdown of the various types of software architects, as well as useful self-assessments for aspiring and practicing professionals Skill acquisition strategies for software architects along with strategic approaches to ace software architecture interviews An indispensable manual for aspiring to be architects, software architects-in-training, and practicing software architects. Software Architect is an essential read for anyone hoping to improve their ability to deliver robust business and technical solutions to enterprises everywhere.

Use continuous Integration (CI) and continuous delivery (CD) to improve the speed of software delivery. This book presents a game changer—how to use pipelines to automate the software delivery process. The theories about CI/CD are much the same, but the book covers what the development of pipelines looks like and how testing of pipelines themselves should be performed.Most teams just plunge into coding, without thinking about the CI/CD process itself. Why don't we use the same development method for pipelines that we use for apps? Pipelines code development undergoes similar stages as application code development, such as requirements analysis, development, testing, implementation, operations, and monitoring. This is the starting point of the book. It describes the current challenges with pipeline development and how this process can be improved and structured. It describes in detail how to design pipelines and shows examples in BPMN 2.0 notation. What You'll Learn Know the shortcomings and challenges of current pipeline development such as misalignment between the pipeline engineer and the team's workflow, the use of infrastructure as code (IaC), and pipeline securityUnderstand the need for CI/CD requirements through the book's non-exhaustive list of more than 60 CI/CD requirements provided to inspire and increase awarenessSee how certain choices affect the way a pipeline is designed (and realized)Become familiar with branching strategy, build strategy, test strategy, release strategy, and deployment strategy that are explained in detail in the book, including their effect on pipeline designKnow how pipelines can be unit tested, using a real-world exampleKnow how performance bottlenecks in a pipeline occur, how they can be detected, and how they can be solvedView a complete implementation, including code, showing how the guidelines in this book are applied to a real use case Who This Book Is For DevOps engineers and solution architects involved with automating the software supply chain and using application lifecycle management (ALM)/integration platforms such as Jenkins, CircleCI, Bamboo, and Azure DevOps; intermediate and experienced DevOps engineers (developers, ops engineers, test engineers); and ICT managers interested in the CI/CD pipeline development domain

This book highlights recent research advances in various domains related to software ecosystems such as library reuse, collaborative development, cloud computing, open science, sentiment analysis and machine learning. A key aspect of software ecosystems is that software products belong to ever more interdependent networks of co-evolving software components. The ever-increasing importance of social coding platforms has made software ecosystems indispensable to software practitioners, in commercial as well as open-source settings.The book starts with an introductory chapter that provides a historical account of the origins of software ecosystems. It provides the necessary context about the domain of software ecosystems by highlighting its different perspectives, definitions, and representations. It also exemplifies the variety of software ecosystems that have emerged during the previous decades. The remaining book is composed of five parts: Part I contains two chapters on software ecosystem representations, Part II two chapters that focus on complementary ways and techniques of analyzing software ecosystems. Next, Part III includes two chapters that focus on aspects related to the evolution within software ecosystems, while Part IV looks at workflow automation and infrastructure-as-code ecosystems. Finally, Part V focuses on ecosystems for software modeling and for data-intensive software.This book is intended for researchers and practitioners interested in data mining, tooling, and empirical analysis of software ecosystems. The reader will appreciate chapters that cover a wide spectrum of social and technical aspects of software ecosystems, each including an overview of the state of the art.Chapter 2 The Software Heritage Open Science Ecosystem is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

In many systems, scalability becomes the primary driver as the user base grows. Attractive features and high utility breed success, which brings more requests to handle and more data to manage. But organizations reach a tipping point when design decisions that made sense under light loads suddenly become technical debt. This practical book covers design approaches and technologies that make it possible to scale an application quickly and cost-effectively.Author Ian Gorton takes software architects and developers through the foundational principles of distributed systems. You'll explore the essential ingredients of scalable solutions, including replication, state management, load balancing, and caching. Specific chapters focus on the implications of scalability for databases, microservices, and event-based streaming systems.You will focus on:Foundations of scalable systems: Learn basic design principles of scalability, its costs, and architectural tradeoffsDesigning scalable services: Dive into service design, caching, asynchronous messaging, serverless processing, and microservicesDesigning scalable data systems: Learn data system fundamentals, NoSQL databases, and eventual consistency versus strong consistencyDesigning scalable streaming systems: Explore stream processing systems and scalable event-driven processing

Computer science theory quickly collides with the harsh reality of professional software development. This wickedly smart and devilishly funny beginner's guide shows you how to get the job done by prioritizing tasks, making quick decisions, and knowing which rules to break.In Street Coder you will learn: Data types, algorithms, and data structures for speedy software development Putting'bad'practices to good use Learn to love testing Embrace code breaks and become friends with failure Beginner-friendly insight on code optimization, asynchronous programming, parallelization, and refactoring Street Coder: Rules to break and how to break them is a programmer's survival guide, full of tips, tricks, and hacks that will make you a more efficient programmer. It takes the best practices you learn in a computer science class and deconstructs them to show when they're beneficial—and when they aren't! This book's rebel mindset challenges status quo thinking and exposes the important skills you need on the job. You'll learn the crucial importance of algorithms and data structures, turn programming chores into programming pleasures, and shatter dogmatic principles keeping you from your full potential. Welcome to the streets! About the technology Fresh-faced CS grads, bootcampers, and other junior developers lack a vital quality: the “street smarts” of experience. To succeed in software, you need the skills and discipline to put theory into action. You also need to know when to go rogue and break the unbreakable rules. Th is book is your survival guide. About the book Street Coder teaches you how to handle the realities of day-to-day coding as a software developer. Self-taught guru Sedat Kapanoglu shares down-and-dirty advice that's rooted in his personal hands-on experience, not abstract theory or ivory-tower ideology. You'll learn how to adapt what you've learned from books and classes to the challenges you'll face on the job. As you go, you'll get tips on everything from technical implementations to handling a paranoid manager. What's inside Beginner-friendly insights on code optimization, parallelization, and refactoring Put “bad” practices to good use Learn to love testing Embrace code breaks and become friends with failure About the reader For new programmers. Examples in C#. About the author Sedat Kapanoglu is a self-taught programmer with more than 25 years of experience, including a stint at Microsoft. Table of Contents 1 To the streets 2 Practical theory 3 Useful anti-patterns 4 Tasty testing 5 Rewarding refactoring 6 Security by scrutiny 7 Opinionated optimization 8 Palatable scalability 9 Living with bugs

Deliver Any Service Far More Effectively, Based on What Customers Really Want As service stacks grow more complex, it becomes even tougher to deliver on-demand IT services that meet customers'expectations for speed, consistency, reliability, security, privacy, and value. Layering on new cloud technologies, architectural approaches, or methodologies can aggravate the problem by widening the gap between what delivery teams think they're delivering and what customers actually experience. In Lean DevOps, technical leader Robert Benefield helps you escape this spiral, reverse bad habits, and regain the situational awareness you need to deliver the right services in the right way. Writing for delivery team members and their leaders, Benefield shows how to improve information flow throughout your organization, so you can move toward your customers'target outcomes. He identifies problems arising from traditional approaches to managing teams, debunks excuses often used to prevent progress, and offers realistic recommendations for everything from requirements to incentives. • Understand key dynamics that impact service delivery, and avoid focusing on the wrong issues • Give your delivery teams stronger abilities to learn and improve • Improve team maturity and implement prerequisites for effective use of automation and AI/ML • Optimize key service delivery elements, from instrumentation to queue masters and cycles • Organize and manage workflows more effectively • Handle governance associated with internal controls and external legal/regulatory requirements • Leverage the power of Lean and Mission Command to accelerate innovation, empower subordinates, and drive the outcomes you want

Adopt a practical and modern approach to architecting and implementing DDD-inspired solutions to transform abstract business ideas into working software across the entire spectrum of the software development life cycleKey FeaturesImplement DDD principles to build simple, effective, and well-factored solutionsUse lightweight modeling techniques to arrive at a common collective understanding of the problem domainDecompose monolithic applications into loosely coupled, distributed components using modern design patternsBook DescriptionDomain-Driven Design (DDD) makes available a set of techniques and patterns that enable domain experts, architects, and developers to work together to decompose complex business problems into a set of well-factored, collaborating, and loosely coupled subsystems. This practical guide will help you as a developer and architect to put your knowledge to work in order to create elegant software designs that are enjoyable to work with and easy to reason about. You'll begin with an introduction to the concepts of domain-driven design and discover various ways to apply them in real-world scenarios. You'll also appreciate how DDD is extremely relevant when creating cloud native solutions that employ modern techniques such as event-driven microservices and fine-grained architectures. As you advance through the chapters, you'll get acquainted with core DDD's strategic design concepts such as the ubiquitous language, context maps, bounded contexts, and tactical design elements like aggregates and domain models and events. You'll understand how to apply modern, lightweight modeling techniques such as business value canvas, Wardley mapping, domain storytelling, and event storming, while also learning how to test-drive the system to create solutions that exhibit high degrees of internal quality. By the end of this software design book, you'll be able to architect, design, and implement robust, resilient, and performant distributed software solutions.What you will learnDiscover how to develop a shared understanding of the problem domainEstablish a clear demarcation between core and peripheral systemsIdentify how to evolve and decompose complex systems into well-factored componentsApply elaboration techniques like domain storytelling and event stormingImplement EDA, CQRS, event sourcing, and much moreDesign an ecosystem of cohesive, loosely coupled, and distributed microservicesTest-drive the implementation of an event-driven system in JavaGrasp how non-functional requirements influence bounded context decompositionsWho this book is forThis book is for intermediate Java programmers looking to upgrade their software engineering skills and adopt a collaborative and structured approach to designing complex software systems. Specifically, the book will assist senior developers and hands-on architects to gain a deeper understanding of domain-driven design and implement it in their organization. Familiarity with DDD techniques is not a prerequisite; however, working knowledge of Java is expected.

Observability is critical for building, changing, and understanding the software that powers complex modern systems. Teams that adopt observability are much better equipped to ship code swiftly and confidently, identify outliers and aberrant behaviors, and understand the experience of each and every user. This practical book explains the value of observable systems and shows you how to practice observability-driven development.Authors Charity Majors, Liz Fong-Jones, and George Miranda from Honeycomb explain what constitutes good observability, show you how to improve upon what youâ??re doing today, and provide practical dos and don'ts for migrating from legacy tooling, such as metrics monitoring and log management. Youâ??ll also learn the impact observability has on organizational culture (and vice versa).You'll explore:How the concept of observability applies to managing software systemsThe value of practicing observability when delivering and managing complex cloud native applications and systemsThe impact observability has across the entire software development lifecycleHow and why different functional teams use observability with service-level objectives (SLOs)How to instrument your code to help future engineers understand the code you wrote todayHow to produce quality code for context-aware system debugging and maintenanceHow data-rich analytics can help you debug elusive issues quickly

Praxiswissen von den führenden Köpfen der DevOps-Bewegung 2., aktualisierte und erweiterte Auflage, ergänzt durch aussagekräftige neue Fallstudien DevOps-Prinzipien, die auch in den Romanen »Projekt Phoenix« und »Projekt Unicorn« illustriert wurden, werden in diesem Handbuch in die Praxis umgesetzt Mit zahlreichen konkreten Case Studies aus Firmen wie Google, Amazon oder Facebook – und jetzt neu: Adidas, American Airlines, Fannie Mae, Target oder der US Air Force Mehr denn je ist das effektive Management der IT entscheidend für die Wettbewerbsfähigkeit von Organisationen. Viele Managerinnen und Manager in softwarebasierten Unternehmen ringen damit, eine Balance zwischen Agilität, Zuverlässigkeit und Sicherheit ihrer Systeme herzustellen. Auf der anderen Seite schaffen es High-Performer wie Google, Amazon, Facebook oder Netflix, routinemäßig und zuverlässig hundert- oder gar tausendmal pro Tag Code auszuliefern. Diese Unternehmen verbindet eins: Sie arbeiten nach DevOps-Prinzipien.Dieses Handbuchs zeigt, wie die DevOps-Philosophie praktisch implementiert wird und Unternehmen dadurch umgestaltet werden können. Die Autor:innen beschreiben konkrete Tools und Techniken, die Ihnen helfen, Software schneller und sicherer zu produzieren. Zudem stellen sie Ihnen Maßnahmen vor, die die Zusammenarbeit aller Abteilungen optimieren, die Arbeitskultur verbessern und die Profitabilität Ihres Unternehmens steigern können. – Die 2. Auflage wurde vollständig aktualisiert und durch die neuesten Forschungsergebnisse und 15 neue Case Studies erweitert.

Go beyond basic testing! Great software testing makes the entire development process more efficient. This book reveals a systemic and effective approach that will help you customize your testing coverage and catch bugs in tricky corner cases.In Effective Software Testing you will learn how to: Engineer tests with a much higher chance of finding bugs Read code coverage metrics and use them to improve your test suite Understand when to use unit tests, integration tests, and system tests Use mocks and stubs to simplify your unit testing Think of pre-conditions, post-conditions, invariants, and contracts Implement property-based tests Utilize coding practices like dependency injection and hexagonal architecture that make your software easier to test Write good and maintainable test code Effective Software Testing teaches you a systematic approach to software testing that will ensure the quality of your code. It's full of techniques drawn from proven research in software engineering, and each chapter puts a new technique into practice. Follow the real-world use cases and detailed code samples, and you'll soon be engineering tests that find bugs in edge cases and parts of code you'd never think of testing! Along the way, you'll develop an intuition for testing that can save years of learning by trial and error. About the technology Effective testing ensures that you'll deliver quality software. For software engineers, testing is a key part of the development process. Mastering specification-based testing, boundary testing, structural testing, and other core strategies is essential to writing good tests and catching bugs before they hit production. About the book Effective Software Testing is a hands-on guide to creating bug-free software. Written for developers, it guides you through all the different types of testing, from single units up to entire components. You'll also learn how to engineer code that facilitates testing and how to write easy-to-maintain test code. Offering a thorough, systematic approach, this book includes annotated source code samples, realistic scenarios, and reasoned explanations. What's inside Design rigorous test suites that actually find bugs When to use unit tests, integration tests, and system tests Pre-and post-conditions, invariants, contracts, and property-based tests Design systems that are test-friendly Test code best practices and test smells About the reader The Java-based examples illustrate concepts you can use for any object-oriented language. About the author Dr. Maurício Aniche is the Tech Academy Lead at Adyen and an Assistant Professor in Software Engineering at the Delft University of Technology. Table of Contents 1 Effective and systematic software testing 2 Specification-based testing 3 Structural testing and code coverage 4 Designing contracts 5 Property-based testing 6 Test doubles and mocks 7 Designing for testability 8 Test-driven development 9 Writing larger tests 10 Test code quality 11 Wrapping up the book

Build and use systems that safely automate software delivery from testing through release with this jargon-busting guide to continuous delivery pipelines.In Grokking Continuous Delivery you will learn how to: Design effective CD pipelines for new and legacy projects Keep your software projects release-ready Maintain effective tests Scale CD across multiple applications Ensure pipelines give the right signals at the right time Use version control as the source of truth Safely automate deployments with metrics Describe CD in a way that makes sense to your colleagues Grokking Continuous Delivery teaches you the design and purpose of continuous delivery systems that you can use with any language or stack. You'll learn directly from your mentor Christie Wilson, Google engineer and co-creator of the Tekton CI/CD framework. Using crystal-clear, well-illustrated examples, Christie lays out the practical nuts and bolts of continuous delivery for developers and pipeline designers. In each chapter, you'll uncover the proper approaches to solve the real-world challenges of setting up a CD pipeline. With this book as your roadmap, you'll have a clear plan for bringing CD to your team without the need for costly trial-and-error experimentation. About the technology Keep your codebase release-ready. A continuous delivery pipeline automates version control, testing, and deployment with minimal developer intervention. Master the tools and practices of continuous delivery, and you'll be able to add features and push updates quickly and consistently. About the book Grokking Continuous Delivery is a friendly guide to setting up and working with a continuous delivery pipeline. Each chapter takes on a different scenario you'll face when setting up a CD system, with real-world examples like automated scaling and testing legacy applications. Taking a tool-agnostic approach, author Christie Wilson guides you each step of the way with illustrations, crystal-clear explanations, and practical exercises to lock in what you're learning. What's inside Design effective CD pipelines for new and legacy projects Ensure your pipelines give the right signals at the right times Version control as the source of truth Safely automate deployments About the reader For software engineers who want to add CD to their development process. About the author Christie Wilson is a software engineer at Google, where she co-created Tekton, a cloud-native CI/CD platform built on Kubernetes. Table of Contents PART 1 Introducing continuous delivery 1 Welcome to Grokking Continuous Delivery 2 A basic pipeline PART 2 Keeping software in a deliverable state at all times 3 Version control is the only way to roll 4 Use linting effectively 5 Dealing with noisy tests 6 Speeding up slow test suites 7 Give the right signals at the right times PART 3 Making delivery easy 8 Easy delivery starts with version control 9 Building securely and reliably 10 Deploying confidently PART 4 CD design 11 Starter packs: From zero to CD 12 Scripts are code, too 13 Pipeline design

Innovation is the key to maintain competitive advantage. Innovation in products, processes, and business models help companies to provide economic value to their customers. Identifying the innovative ideas, implementing those ideas, and absorbing them in the market requires investing many resources that could incur large costs. Technology encourages companies to foster innovation to remain competitive in the marketplace. Emerging Technologies for Innovation Management in the Software Industry serves as a resource for technology absorption in companies supporting innovation. It highlights the role of technology to assist software companies—especially small start-ups—to innovate their products, processes, and business models. This book provides the necessary guidelines of which tools to use and under what situations. Covering topics such as risk management, prioritization approaches, and digitally-enabled innovation processes, this premier reference source is an ideal resource for entrepreneurs, software developers, software managers, business leaders, engineers, students and faculty of higher education, researchers, and academicians.

Implement modern DevOps techniques to increase business productivity, agility, reliability, security, and scalabilityKey FeaturesLearn how to use business resources effectively for improved productivity and collaborationUse infrastructure as code practices to build large-scale cloud infrastructureLeverage the ultimate open source DevOps tools to achieve continuous integration and continuous delivery (CI/CD)Book DescriptionIn the implementation of DevOps processes, the choice of tools is crucial to the sustainability of projects and collaboration between developers and ops. This book presents the different patterns and tools for provisioning and configuring an infrastructure in the cloud, covering mostly open source tools with a large community contribution, such as Terraform, Ansible, and Packer, which are assets for automation.This DevOps book will show you how to containerize your applications with Docker and Kubernetes and walk you through the construction of DevOps pipelines in Jenkins as well as Azure pipelines before covering the tools and importance of testing. You'll find a complete chapter on DevOps practices and tooling for open source projects before getting to grips with security integration in DevOps using Inspec, Hashicorp Vault, and Azure Secure DevOps kit. You'll also learn about the reduction of downtime with blue-green deployment and feature flags techniques before finally covering common DevOps best practices for all your projects.By the end of this book, you'll have built a solid foundation in DevOps and developed the skills necessary to enhance a traditional software delivery process using modern software delivery tools and techniques.What you will learnUnderstand the basics of infrastructure as code patterns and practicesGet an overview of Git command and Git flowInstall and write Packer, Terraform, and Ansible code for provisioning and configuring cloud infrastructure based on Azure examplesUse Vagrant to create a local development environmentContainerize applications with Docker and KubernetesApply DevSecOps for testing compliance and securing DevOps infrastructureBuild DevOps CI/CD pipelines with Jenkins, Azure Pipelines, and GitLab CIExplore blue-green deployment and DevOps practices for open sources projectsWho this book is forIf you are an application developer or a system administrator interested in understanding continuous integration, continuous delivery, and containerization with DevOps tools and techniques, this book is for you. Knowledge of DevOps fundamentals and Git principles is required.