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Software developers in modern, large-scale software engineering should focus on writing code and continually examine monitoring data to justify dynamic behavior in their systems. In recent years, in light of the culture of development operations (DevOps), the monitoring responsibility of the developer has emerged. However, code violations may occur due to lack of experience, short deadlines, and market competition. This study discusses monitoring challenges and suggests improvements to improve the performance and quality of the software product so that developers can take advantage of these improvements in the future. This paper discusses code smell detection techniques, detection tools, classification, and how to refactor the code. In this review, we have presented several different techniques that detect code odor in the literature. These techniques were analyzed by examining the advantages, disadvantages, limitations, and efficiency of these techniques in code odor detection. A comparison was made of some advantages and disadvantages of the techniques used in odor detection and the limitations of the challenge. Finally, a solution was proposed to improve the performance of the odor detection process of the source code and thus improve the quality of the program produced by suggesting PyCos in odor detection for code through mining techniques Data contributing to the development of the Integrated Development Environment (IDE). [ABSTRACT FROM AUTHOR]

Deep learning has been increasingly popular in the area of information engineering over recent years (SE). However, there are so many unfinished concerns to be studied. How can researchers incorporate deep learning into SE issues? What SE phases are supported by in-depth learning? Are the professionals benefiting from deep learning? Responses allow clinicians and researchers to build functional deep learning models for SE activities. To address these questions, we perform a bibliography review of 98 SE academic articles using deep learning techniques. We notice that 41 SE activities have been enabled by deep learning optimised solutions in all SE phases. In which 84.7 percent of papers only use traditional deep learning techniques and their variants to overcome Software Engineering problems. Practicability is becoming a problem with the use of deep learning methods. More Software Engineering researchers may be attracted in the future to Enhance the effectiveness, efficiency, comprehensibility and testability with deep learning- based methods. [ABSTRACT FROM AUTHOR]

The software industry is changing rapidly, and software firms look for processes, approaches, and methodologies that focus on effective software development gaining stakeholder satisfaction. Software development models mainly help firms to deploy projects in a smooth way by using specific methods and techniques. The challenge of choosing between traditional software development methodologies and agile development methodologies plays a crucial role when firms are looking for software processes, approaches and tools that help to create stable products. The choice of a software development model depends on project timeframe, business requirements, availability of resources, team, client involvement and perception. The traditional models face shortcomings of being rigid, difficulty in accommodating changing requirements and heavy documentation. Agile models represent a major innovation from traditional, plan-based approaches to software engineering. The objective of this paper is to review the concept of agile and traditional methodologies in terms of definitions, processes, and impact on the delivery of innovative products and compare between agile and traditional software engineering models. The implementation of scrum agile model in a software firm with web application (webapps) domain is also presented in this paper. [ABSTRACT FROM AUTHOR]

In software engineering, it is now necessary to divide needs into functional and non-functional categories to ensure proper operation and overall performance. This study aims to distinguish between functional (F) and non-functional (NF) requirements for application software and classify them accordingly. A portion of the data has been obtained from online resources. In this study, data is cleaned using normalization steps and then proceeded with subsequent steps such as text preprocessing and vectorization. Bag of Words, Term Frequency-Inverse Document, Featurization and Machine Learning Models, ROC and AUC curves, Bi-Grams and n-Grams in Python, Word2Vec, and confusion matrix were covered. Early detection of NFRs allows us to make initial design decisions. Machine Learning algorithms were applied to identify and classify functional and non-functional requirements for application software development based on user requirements. This paper aims to find out which ML algorithm and which model of NLP gives better accuracy and best performance for binary classification. In this study, the combination of BoW and Multinomial Naive Bayes provides the best performance for binary classification. This paper classifies functional Requirement (FR) and non-functional requirements (NFRs) and assists the software developer, software designer, testers, etc., in developing applications. This paper is also helpful for faster software development and delivery. This step facilitates the creation of an SRS document and avoids unnecessary work and complexity during the requirement analysis phase. [ABSTRACT FROM AUTHOR]

Requirement analysis serves as a link between end-users and the software development team in software development. User requirements are nothing more than their desires, which software must fulfill for them to be satisfied. The processes involved in software development are planning, data gathering, data analysis, design, programming, testing, implementation, and maintenance processes. Planning is the first step in any software development project. Human intervention is required during these processes because they are extremely complex. Several types of knowledge are required during the software development process, including problem domain, programming domain, and programming language knowledge. To create a single solution, it is sometimes necessary to bring together different types of knowledge. The aim of software development is to satisfy and fulfill all users' needs through software, which is the primary goal of all software development. A problem during the requirement analysis phase will cause the entire SDLC process to be halted. It is because the SDLC is cyclic. The SDLC requirement analysis phase is extremely important to mitigate this risk. Because of the high quality of software requirements, it is necessary to have high-quality software requirements. Specifically, this paper aims to discuss the application of artificial intelligence techniques for requirement analysis in the context of software development projects. For this research, end-user requirements are investigated and analyzed and then transformed into AI techniques, among other things. This paper aims to identify requirements problems during the requirement analysis and provide AI techniques to overcome these problems as quickly as possible. [ABSTRACT FROM AUTHOR]

The main purpose of this paper, is to provide a comprehensive study of the modern aspect of autonomous vehicle motion planning. First, we review the fundamentals of software engineering in self-driving vehicles and its most notable developments. Then, we take an in-depth look at the latest research work on autonomous vehicles. Furthermore, a detailed survey of recent technological advances in motion planning for single and multi-agent autonomous vehicles are reported and discussed. Finally, limitations and potential technology trends for AV motion planning are covered. [ABSTRACT FROM AUTHOR]

The main purpose of this research project is to develop an online education recommendation system that helps in decision making among students in selection of specific program in computer studies. Five number of lecturers and total of twenty number of degree students from computer program in University of Tuanku Abdul Rahman (UTAR) were used as the sampling users in this research. They attended a series of evaluation trials represent as 'crowd-voter' as a part of validation and verification. There are only three university programs that have been selected; (1) Software Engineering; (2) Multimedia and (3) Business Information System as to be an option of university program recommendation. Prototype methodology has been chosen and the feedbacks from the voting result are the parameters in system testing whether this crowd-voting method is useful to support university program recommendation or not. The limitations of this development also have been discovered and discussed at the end of this paper. [ABSTRACT FROM AUTHOR]

The first step in developing a system is to define it (requirement specification). In this paper, the combination of the complexity of the incremental model with the object-oriented software engineering model led to a new way of developing software system requirements based on the system's goal. This study focused on the earliest and most critical stage of a software system's life cycle: creating the software specifications that would be utilized to ensure its success. These requirements must be carefully examined when developing a trustworthy software system. This method is used to design and define requirements for COVID-19's social distance online reservation system, and it proved its efficiency in terms of describing what had to be done and the subsequent processes for design, building, and development. COVID-19 developed and enhanced the system. Use it afterwards to demonstrate how nicely it functions. [ABSTRACT FROM AUTHOR]

Requirement engineering is at the foundation of every successful software project. There are many reasons for software project failures; however, poorly engineered requirements process contributes immensely to the reason why software projects fail. Software project failure is usually costly and risky and could also be life threatening. Projects that undermine requirements engineering suffer or are likely to suffer from failures, challenges and other attending risks. The cost of project failures and overruns when estimated is very huge. Furthermore, software project failures or overruns pose a challenge in today's competitive market environment. It affects the company's image, goodwill, and revenue drive and decreases the perceived satisfaction of customers and clients. In this paper, requirements engineering was discussed. Its role in software projects success was elaborated. The place of software requirements process in relation to software project failure was explored and examined. Also, project success and failure factors were also discussed with emphasis placed on requirements factors as they play a major role in software projects' challenges, successes and failures. The paper relied on secondary data and empirical statistics to explore and examine factors responsible for the successes, challenges and failures of software projects in large, medium and small scaled software companies. [ABSTRACT FROM AUTHOR]

Understanding and maintaining the source code of industrial-scale software product is hard and time-consuming, and it is getting more difficult when the software implements parallel/concurrent/distributed computations and behaviours. Static source code analysis tools support program comprehension through detecting dependencies and relations among small (like functions and processes) or large (modules and components) software elements. For Erlang, which is a dynamically typed language, only an approximation of the real dependencies can be calculated statically. However it is possible to improve these analyses by adding application specific information, such as the most frequently used behaviours. In this paper we introduce an extension of the process relation analysis for Erlang which extract information of generic server behaviour implementations. The Communication Graph is extended with the result of the analysis. [ABSTRACT FROM AUTHOR]

In this digital age, the deployment of modern technology in the workplace to mitigate the global challenges is paramount. The academic program, therefore, as accredited by the regulatory and accreditation bodies, whose sole objective is to ensure the production of quality industry-ready engineering graduates. These products are expected to be technology savvy and proficiently skilled in the use of computer software (CS) for productivity towards engineering activities. Unfortunately, the engineering institutions are presently not producing engineering graduates who are competent in computational thinking (CT) skills to meet the industry needs. A study explores the engineering educators' perceived contributions and gains achieved while employing computer application software in the courses they teach towards the cognitive ability enhancement of the engineering students. This paper provides an in-depth exploratory inquiry into the employment of CS in engineering education, focusing on the contribution towards the cognitive enhancement of engineering students. The research follows a phenomenographic approach by evaluating the experiences of the engineering educators from different engineering disciplines in the higher education institutions, namely Chemical, Civil, Electrical and Mechanical engineering, to gain valuable insights. Data collected from participants through a semi-structured, in-depth interview and analyzed with qualitative data analysis technique using NVivo 12, a computer-based qualitative analysis software. The evaluation indicates an increase of cognitive abilities leading to the development of expert knowledge, general intellectual skills, and capacities as well as personal qualities. This study will directly impact on the engineering educators and students, the engineering faculties, and stakeholders. [ABSTRACT FROM AUTHOR]

The paper presents a conceptual architecture for the implementation of the product approach in the aspect of systems engineering, with the aim of increasing the maturity of engineering and software activities in general. The paper presents an example of successful practice of introducing a product approach in a large IT company "Gazpromneft-Digital Solutions". Also, the product approach is considered as a tool for the formation of a competence profile in the process of training specialists. [ABSTRACT FROM AUTHOR]

Software estimation is vital for the success of software engineering projects. However, predicting software effort is difficult due to software solutions' complexity, intangibility, and diversity and their involved expertise and underlying technology. This paper aims to enhance the accuracy of software estimation using a data mining approach that combines Random Forests Regression with Use-Case Points analysis, which is typically used in estimating effort in object-oriented software engineering projects. The experimental results of applying our proposed approach have demonstrated a significant improvement in the prediction accuracy of software effort estimation when compared to Use-Case Points estimation based on R-Squared (R2) and other metrics such as Mean Absolute Error (MAE) and the Mean Squared Error (MSE). [ABSTRACT FROM AUTHOR]

AOM (Agent Oriented Modeling) is a comprehensive and unified agent methodology for agent oriented software development. AOM methodology was proposed to aid developers with the introduction of technique, terminology, notation and guideline during agent systems development. Although AOM methodology is claimed to be capable of developing a complex real world system, its potential is yet to be realized and recognized by the mainstream software community and the adoption of AOM is still at its infancy. Among the reason is that there are not much case studies or success story of AOM. This paper presents two case studies on the adoption of AOM for individual based modelling and simulation. It demonstrate how the AOM is useful for epidemiology study and ecological study. Hence, it further validate the AOM in a qualitative manner. [ABSTRACT FROM AUTHOR]

This research was using a Systematic literature review (SLR) in Software Engineering for the development and maintenance of software products. This study aimed to identify and analyze research trends on FINTECH - enterprise innovation in developing countries, especially implementation fintech to create sustainability in enterprises of developing countries. This research gives results regarding Fintech in developing countries, the evolution of an enterprise in developing countries due to applying Fintech, Risk & Challenge to the application of Fintech in developing country companies, the way to Fintech Create Sustainability, also the impact generated by Fintech on the companies that implement it. Implementation Fintech system will produce a new service and business model that will have an impact on the sustainability of the company's monetary & financial system, then also increase the efficiency, smoothness, and security of the payment system. [ABSTRACT FROM AUTHOR]

This study aims to promote the initiative to incorporate collaborative case study as an integrated project in different courses, using the designed Project-Oriented Problem-Based Learning (PoPbL) framework as a basis. The generic Software Engineering (SE)-PoPbL framework was improved and adapted to integrate the collaborative case study. This allows for the assimilation of the project element into the different courses in the SE undergraduate program. This paper reports a three-year implementation experiences (2017-2019) of the collaborative project over two courses in the Computing's SE program: (i) Requirements engineering and software modelling (RESM) (ii) Introduction to SE. Data collected through survey showed promising and positive feedback from students who participate in the study. Further work on presented data-driven using thematic analysis would complement the quantitative results for better themes definition related to the learner's reflections. [ABSTRACT FROM AUTHOR]

A recommender system is a project that helps users identify their wishes and needs. The recommender system has been successfully applied to many e-commerce environments, such as news, film, music, books and other areas of recommendation. This paper mainly discusses the application of recommendation technology in software engineering, data and knowledge engineering, configurable projects and persuasion technology, and summarizes the development trend of recommendation technology in the future. [ABSTRACT FROM AUTHOR]

Service-orientation for the development of complex distributed systems with reusable components (services) has proved to be highly beneficial approach in software engineering. In order to realize its advantages automated techniques and tools for finding services, selecting the ones that match requestor needs, composing them for achieving enhanced functionality and resolving heterogeneity issues are required. Adding semantics to web services has become the key approach for the automation of service-orientation environments. Current paper proposes semantic approach for service selection and integration. It considers the semantic description of web services and involves reasoning on a knowledge base. The proposed approach for web service discovery and integration is based on designing logic based techniques for matching goal description with the semantic annotation of web services. It provides for the automation of web service search which facilitates the design of practical applications in service-oriented environment. [ABSTRACT FROM AUTHOR]

Finally, the World Health Organization stated that the Corona virus is a pandemic. As the news was recently reported of cases of escape of suspected or confirmed patients from health isolation halls in various countries of the world, which leads to the spread of the epidemic more and thus lack of control over it. Therefore, a smart system is developed for early detection of escape attempts for Covid-19 patients. The system includes many hardware components: Adriano microcontroller, Passive infrared (PIR) sensor, two switch buttons, Global system for mobile communication (GSM), buzzer, LCD. The system sends the shortest message service (SMS) when there is any attempt to escape the curse. Also, a buzzer is used to listen to and display the sensor state on the LCD. The system can recognize doctors, patients, and cleaning workers by plugging in the switching button. During the development process, the proposed system adopts the object-oriented software engineering (OOSE) approach with a unified modelling language (UML). [ABSTRACT FROM AUTHOR]

The majority of the time, Sentiment Analysis is utilised to figure out what the author is thinking about. Major provocation has been occurring, and irony detection is believed to be one of the most provocative aspects of the situation currently. Irony is a unique manner of describing information that is in opposition to the topic being discussed, resulting in ambiguity. Data preparation, which covers numerous techniques such as lemmatization, tokenization, and stemming, is a main activity performed by the majority of software engineers. Many studies are carried out in the field of irony detection, which covers a variety of feature extraction algorithms. Support Vector Machine (SVM), linear regression, Nave Bayes, Random Forest, and other machine learning classifierswere employed in these studies, among others. The accuracy, precision, recall, and F-score obtained as a result of these research efforts may be utilized to forecast the most appropriate model for a given situation. In this study, we will explore the numerous methodologies that are employed in ironic text identification for Sentiment Analysis. [ABSTRACT FROM AUTHOR]

Defect reporting is essential software testing activity to communicate issues and errors found in the software product to the developers. To produce high-quality defect reports, apart from technical knowledge and experience, the personality of the tester plays an important role. However, studies on personality in software testing are more focused the influence of personality in testing performance, and studies exploring software defect reporting are very limited. In this research, we surveyed 105 software engineering professionals to understand the relationship between personality and their thoughts on the importance and difficulties of information to be reported in software defect reports. From the survey, we found out that the software testers/ most personality traits were agreeableness and intellect imagination. From their opinions, cause of the problem is important information to be included when describing usability defects, but writing in non-human computer interaction terms is seems difficult to them. [ABSTRACT FROM AUTHOR]

Teaching embedded and real-time software development course in curriculum is important because such software and hardware is used in many systems towards industrial revolution 4.0 (4IR). There is a wide range of undergraduate and postgraduate programs offering similar courses in their computing and engineering curriculum. School of Computing under the Faculty of Engineering offers a course named Real-Time Software Engineering for undergraduate final year students in Software Engineering program as an elective course. This course implements alternative assessment projects as part of the course assessment criteria. The goal of this project is to ensure students appreciate complexity of software development project and equip them with multi-discipline skills in developing embedded real-time systems. It is also important to boost students' confident level in developing software with physical hardware. The projects adopt a collaborative assignment and project approach by incorporating physical mobile robots and Internet of Things (IoT) system into the problem-based and project-based learning environment. In the teaching and learning activities, learning occurs as students collaborate in completing their projects and engage with real-time concepts, theories, and practices in solving the physical systems' problem. [ABSTRACT FROM AUTHOR]

In the current scenario of the fast-developing area of Software Engineering and Development and considerably more rapidly developing division of games, what is yet to come, is difficult to predict. In simpler terms, a project is an attempt concentrating on the making of programming. In a game undertaking, the item is a game. Be that as it may, a game is substantially more than simply its product. It needs to give substance to get charming. The product portion of the project isn't the one and only one and it must be considered in association with every single other part – the story, the characters, interactive experiences, fine art, etc. Twisted – 2.0 is a multiplayer endurance game, developed in a low-poly 3D environment, that is prepared to do all the while supporting 20 online players. [ABSTRACT FROM AUTHOR]

In software engineering (SE), team roles play significant impact in determining the project success. To ensure the optimal outcome of the project the team is working on, it is essential to ensure that the team members are assigned to the right role with the right characteristics. One of the prevalent team roles is Belbin team role. A successful team must have a balance of team roles. Thus, this study demonstrates steps taken to determine balance of software team formation based on Belbin team role using fuzzy technique. Fuzzy technique was chosen because it allows analyzing of imprecise data and classifying selected criteria. In this study, two roles in Belbin team role, which are Shaper (Sh) and Plant (Pl) were chosen to assign the specific role in software team. Results show that the technique is able to be used for determining the balance of team roles. Future works will focus on the validation of the proposed method by using empirical data in industrial setting. [ABSTRACT FROM AUTHOR]