Experimentation in Software Engineering

CLAES WOHLIN is Professor Emeritus of software engineering at Blekinge Institute of Technology. He has been conducting empirical research, together with his PhD students, with industrial partners for 35 years. His research focuses on empirical methods in software engineering, software processes and software quality. He served as Editor-in-Chief for the Journal of Information and Software Technology for 14 years. In 2011, he was elected as a member of the Royal Swedish Academy of Engineering Sciences.PER RUNESON is a professor of software engineering at Lund University. He has more than 25 years of experience in conducting empirical research with PhD students, and leading industry-academia collaboration programs, aiming to understand and improve practice. His research interests embrace cross-disciplinary approaches and include empirical studies on software testing and ecosystems for open data and software, in industrial software and AI engineering. He has advanced the research field through methodology guidebooks on experimentation and case studies.MARTIN HÖST is a professor of software engineering at Malmö University, where he is dean of the Faculty of Technology and Society. He has about 30 years of experience in empirical research in software engineering, often conducted in collaboration with industry. His research interests include software quality and open source software, as well as empirical research methods in software engineering research.MAGNUS C. OHLSSON has focused on the development and quality assurance of software for almost 25 years, and today, he is a Quality Strategist and Evangelist at System Verification, specialising in process improvement. He has experience in several different technical areas such as embedded systems, medical devices, mobile network signalling and ERP systems. He is also an appreciated lecturer at different universities and when providing presentations at various conferences.BJÖRN REGNELL is Professor of software engineering at Lund University. He has over 30 years of experience in software engineering with focus on empirical research in software requirements engineering. He served as Vice Dean of Research at the Faculty of Engineering with focus on quality of graduate level education. He is a member of the editorial board of the Requirements Engineering journal (Springer-Nature). He is also engaged in the governing committee of the Scala open-source programming language.ANDERS WESSLÉN is an expert at Ericsson in Lund. He has more than 20 years of experience working with system development for both mobile phones and radio base stations. His focus is system-wide architectures and future computing platforms.

From the reviews of the former edition:“The volume, a revised edition of a work by the same name … published in 2000, presents a very useful review of methods in software engineering research. It is structured as a textbook, making it useful for an introductory graduate-level course or a fourth-year course at the undergraduate level. Practitioners and experts will also benefit from this book, as they can use it as a starting point for more in-depth approaches. … Summing Up: Highly recommended. Upper-division undergraduates through professionals/practitioners.” (L. Benedicenti, Choice, Vol. 50 (9), May, 2013)"The revised edition includes new chapters and examples, which further cements its place as the premier book on the topics of designing, constructing, executing, and assessing experiments in software engineering. (...) The revisions will make this book even more valuable. (...) It ought to be required reading for all PhD students; every academic’s bookcase should have a copy." (Michael Oudshoorn, Computing Reviews, October, 2012)

• Part I Context.- Introduction.- Empirical Research.- Essential Areas in Empirical Research.- Systematic Literature Studies.- Surveys.- Experiments.- Case Studies.- Part II Steps in the Experiment Process.- Scoping.- Planning.- Operation.- Analysis and Interpretation.- Presentation and Package.- Part III Example Experiments.- Experiment Process Illustration.- Are the Perspectives Really Different?.- Appendices.- Exercises.- Statistical Tables.