Search

Elevate your software development process with expert technical writing skills, fostering clarity, collaboration, and successful product outcomesKey FeaturesOptimize documentation workflows with collaborative version-controlled'docs-as-code'tooling optionsEngage with interactive learning modules embedded throughout the bookImprove software quality as a lead developer through effective communication in documentationPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionEffective documentation is key to the success of products in remote software development teams, facilitating clear instructions that benefit the entire development team. Technical Writing for Software Developers lays a solid foundation of essential grammar, providing language tips and explaining how precise writing enhances documentation, and walks you through the fundamental types and styles of documentation. Starting with an exploration of the current state of the tech writing industry and its significance in both the software and hardware realms, you'll master the building blocks of technical writing, exploring tooling choices and style guides, and create dynamic multimedia-laden documentation. This book equips you with valuable insights into the writing and feedback process to ensure continuous improvement. Additionally, you'll take a peek at the emerging trends and technologies, including AI tools, shaping the future of technical writing. By the end of this technical writing book, you'll have developed the expertise you need to tackle documentation requests effectively, armed with the knowledge of the best approach for documenting any topic, encompassing text, media elements, structure, and appropriate tools. The skills acquired will enable you to achieve seamless teamwork, enhanced project efficiency, and successful software development.What you will learnCreate engaging multimedia-rich documentationUnderstand the types and styles of documentationDiscover grammar and language tips for clear communicationStreamline your documentation process with the right tooling choiceMaster the writing and feedback process for continuous improvementExplore automation techniques for efficient documentation workflowsEmbrace AI-powered tools for enhanced technical writingWho this book is forThis book is for software developers who want to improve their technical writing prowess. Whether you are a junior developer looking to refine your documentation skills or a professional striving for smoother collaboration, this resource equips you with all the essential knowledge and practical insights you need. Covering everything from creating clear documentation to enhancing career prospects, this book caters to a diverse range of software developers, including programmers, software architects, and software engineers looking to streamline the product development process and save time.

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.

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

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.

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.

Learn, develop and hone your Linux and DevOps skills by building a lab for learning, testing and exploring the latest Linux and open-source technologies. This book helps Linux users and others to master modern DevOps practices using a wide range of software and tools.Having a home or work-based Linux lab is indispensable to anyone looking to experiment with the ever-evolving landscape of new software and DevOps. With open-source tools and readily available hardware, you will end up with a lab you can use to try virtually any modern software, including Chef, Docker, Kubernetes and stalwarts like DNS, Dovecot, and Postfix for email. You'll set up pipelines for software deployment and focus on discrete projects that help you learn through doing. In the end, you'll acquire the skills needed to become better informed, more marketable engineers and developers, and better able to take on a wide array of software projects with confidence.Practical Linux DevOps is the perfect companion for those who want to learn how to build systems with utility and learn about modern hardware and software practices.What You'll LearnSet up a Linux-based virtualization environment and workstationCreate a lab network with a fully qualified domainBuild web-based applications with NGINX and LAMPUse version-control tools like GitAutomate deployments and configurationsThink like a modern DevOps engineerWho This Book Is ForNew and modestly experienced users with basic understanding of a basic understanding of Windows or Linux command line, as well as would-be and current DevOps engineers, and full-stack and other software developers

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