Link to publicationCitation for published version (APA): Engström, E., Runeson, P., & Skoglund, M. (2010). A systematic review on regression test selection techniques. Information and Software Technology, 52(1), 14-30. https://doi.org/10.1016/j.infsof.2009.07.001General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. 1 A Systematic Review on Regression Test Selection Techniques

a b s t r a c tContext: Software product lines (SPL) are used in industry to achieve more efficient software development. However, the testing side of SPL is underdeveloped.Objective: This study aims at surveying existing research on SPL testing in order to identify useful approaches and needs for future research. Method: A systematic mapping study is launched to find as much literature as possible, and the 64 papers found are classified with respect to focus, research type and contribution type. Results: A majority of the papers are of proposal research types (64%). System testing is the largest group with respect to research focus (40%), followed by management (23%). Method contributions are in majority. Conclusions: More validation and evaluation research is needed to provide a better foundation for SPL testing.

Weak alignment of requirements engineering (RE) with verification and validation(VV) may lead to problems in delivering the required products in time with the right quality. For example, weak communication of requirements changes to testers may result in lack of verification of new requirements and incorrect verification of old invalid requirements, leading to software quality problems, wasted effort and delays. However, despite the serious implications of weak alignment research and practice both tend to focus on one or the other of RE or VV rather than on the alignment of the two. We have performed a multi-unit case study to gain insight into issues around aligning RE and VV by interviewing 30 practitioners from 6 software developing companies, involving 10 researchers in a flexible research process for case studies. The results describe current industry challenges and practices in aligning RE with VV, ranging from quality of the individual RE and VV activities, through tracing and tools, to change control and sharing a common understanding at strategy, goal and design level. The study identified that human aspects are central, i.e. cooperation and communication, and that requirements engineering practices are a critical basis for alignment. Further, the size of an organisation and its motivation for applying alignment practices, e.g. external enforcement of traceability, are variation factors that play a key role in achieving alignment. Our results provide a strategic roadmap for practitioners improvement work to address alignment challenges. Furthermore, the study provides a foundation for continued research to improve the alignment of RE with VV.

Aim: Regression testing practices in industry have to be better understood, both for the industry itself and for the research community. Method : We conducted a qualitative industry survey by i) running a focus group meeting with 15 industry participants and ii) validating the outcome in an on line questionnaire with 32 respondents. Results: Regression testing needs and practices vary greatly between and within organizations and at different stages of a project. The importance and challenges of automation is clear from the survey. Conclusions: Most of the findings are general testing issues and are not specific to regression testing. Challenges and good practices relate to test automation and testability issues.

a b s t r a c tBackground: Systematic literature reviews and systematic mapping studies are becoming increasingly common in software engineering, and hence it becomes even more important to better understand the reliability of such studies. Objective: This paper presents a study of two systematic mapping studies to evaluate the reliability of mapping studies and point out some challenges related to this type of study in software engineering. Method: The research is based on an in-depth case study of two published mapping studies on software product line testing. Results: We found that despite the fact that the two studies are addressing the same topic, there are quite a number of differences when it comes to papers included and in terms of classification of the papers included in the two mapping studies. Conclusions: From this we conclude that although mapping studies are important, their reliability cannot simply be taken for granted. Based on the findings we also provide four conjectures that further research has to address to make secondary studies (systematic mapping studies and systematic literature reviews) even more valuable to both researchers and practitioners.