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The software engineering community aims to achieve and maintain high‐efficient software engineering practical activities. One of the techniques used for this purpose is Test‐Driven Development (TDD), which is a cyclic and test‐centered development method positively related to maintainability, which may vary depending on the context and application. Previous research has indicated that TDD's benefits on maintainability may be due to the improved focus on coding and testing activities. However, limited research has investigated the role of engagement in software quality. Therefore, this study investigates the relationship between TDD methods, engagement level in development activities, and maintainability. The primary research questions addressed in this study are does following TDD methods improve the engagement level in development activities? And does a higher engagement level leads to better maintainability? The study employs a statistical analysis technique, regression analysis to explore the research questions. The results show that TDD behaviours improve the engagement level, and engaging in development activities has a significant positive impact on maintainability. Additionally, the study finds that the positive impact of focussing on testing, such as writing more test cases, is more pronounced compared to coding activities. Our study adds to current software engineering literature that not only personal expertise but the engagement level in the development process are associated with software quality and calls for the emphasis on developer's engagement. [ABSTRACT FROM AUTHOR]

As more and more software teams use online issue tracking systems to collaborate on software projects, the accurate assignment of new issues to the most suitable contributors may have significant impact on the success of the project. As a result, several research efforts have been directed towards automating this process to save considerable time and effort. However, most approaches focus mainly on software bugs and employ models that do not sufficiently take into account the semantics and the non‐textual metadata of issues and/or produce models that may require manual tuning. A methodology that extracts both textual and non‐textual features from different types of issues is designed, providing a Jira dataset that involves not only bugs but also new features, issues related to documentation, patches, etc. Moreover, the semantics of issue text are effectively captured by employing a topic modelling technique that is optimised using the assignment result. Finally, this methodology aggregates probabilities from a set of individual models to provide the final assignment. Upon evaluating this approach in an automated issue assignment setting using a dataset of Jira issues, the authors conclude that it can be effective for automated issue assignment. [ABSTRACT FROM AUTHOR]

Around the world, the importance of Very Small Entities (VSEs), organisations having up to 25 people, has been constantly increasing. Worldwide, VSEs represent over 92% of the software industry. Therefore, two main needs can be highlighted: a) providing VSEs with resources to produce high‐quality software, and b) training software engineering undergraduates in proven practices to produce high‐quality software within the given schedule and budget. A logical way to meet these needs is transfering proven practices provided by software engineering standards. However, transferring the knowledge of software engineering standards is not always an easy task. The ISO/IEC 29110 is a series of international standards and guides that provide codified knowledge related to the software development process. The series was specifically developed to be used by VSEs. This study presents an exploratory analysis, conducted in 12 Mexican VSEs, which implemented the software Basic profile of the ISO/IEC 29110, to identify the pace at which they can adopt this standard to their environment. Besides, the benefits and difficulties encountered are provided. The results can be relevant for other VSEs interested in implementing this standard. Even if the exploratory analysis was performed in the VSEs of Mexico, this analysis can be of interest in other countries. The results obtained can help other VSEs that are interested in the adoption of this international standard to reduce the barriers to a successful implementation. [ABSTRACT FROM AUTHOR]

Every year software development industry requires a higher number of trained software engineers who are not only skilled programmers but also talented software projects managers. To deliver high‐quality software projects, engineers require of the application of sound engineering competencies along with discipline. Obtaining those practices usually require years of experience. Companies are not prepared to invest this time on engineers resulting in a high percentage of deficient projects. Here, the authors present a bachelor‐level competency‐based approach that develops and evaluates such competencies during a challenge‐based learning experience. In this way, the rate of successful projects where software engineers are involved will be higher, as they have obtained the appropriate competencies to deliver such projects. [ABSTRACT FROM AUTHOR]

Monitoring and predicting the trend of bug number time series of a software system is crucial for both software project managers and software end‐users. For software managers, accurate prediction of bug number of a software system will assist them in making timely decisions, such as effort investment and resource allocation. For software end‐users, knowing possible bug number of their systems ahead will enable them to adopt timely actions in coping with the loss caused by possible system failures. This study proposes an approach called SamEn‐SVR to combine sample entropy and support vector regression (SVR) to predict software bug number using time series analysis. The basic idea is to use template vectors with the smallest complexity as input vectors for SVR classifiers to ensure predictability of time series. By using Mozilla Firefox bug data, we conduct extensive experiments to compare the proposed approach and state‐of‐the‐art techniques including auto‐regressive integrated moving average (ARIMA), X12 enhanced ARIMA and polynomial regression to predict bug number time series. Experimental results demonstrate that the proposed SamEn‐SVR approach outperforms state‐of‐the‐art techniques in bug number prediction. [ABSTRACT FROM AUTHOR]

The size of a software project is a key measure of predicting software effort at the requirements and analysis phase. Use case points (UCP) is among software size metrics that achieved good reputation because of the increasing popularity of use case driven development methodologies in software industry. Nevertheless, there is no consistent method that can effectively translate the UCP into its corresponding effort. Previous estimation models were built using a very limited number of projects, and they were not well examined. The soft computing techniques were rarely applied for such problem and their performances have not been well investigated using a systematic procedure. This study looks into the accuracy and stability of some soft computing methods for the problem of effort estimation based on UCP. Four neural network methods, adaptive neuro fuzzy inference system and support vector regression have been used in this comparative study. The results suggest that most used soft computing techniques can work well with good accuracy for such problem. Among them, the general regression neural network is the superior one with stable ranking across different accuracy measures. Also, it has been found that using adjustment variables with basic UCP variables, solely or together, have positive impact on the accuracy and stability. [ABSTRACT FROM AUTHOR]

Offshore software development outsourcing is a recent and widely used business strategy for the development of high quality products at low cost. The objective of the research presented in this study is to find critical success factors (CSFs) for contract management to assist vendor organisations for successful outcomes of the offshore software outsourcing contract. A systematic literature review (SLR) process was performed for the identification of factors that can assist vendor organisations in successful management of the various activities at different stages of the outsourcing contract. that is, pre‐contract, during contract and post‐contract. Our findings reveal that 'contract flexibility, 'trustworthy relationship management', 'competitive bidding', 'consultation and negotiation' and 'quality management' are considered as the CSFs for outsourcing vendor organisations in planning, management and execution of outsourcing contract. [ABSTRACT FROM AUTHOR]