In the decade since the idea of adapting the evidence-based
paradigm for software engineering was first proposed, it has become
a major tool of empirical software engineering. Evidence-Based
Software Engineering and Systematic Reviews provides a clear
introduction to the use of an evidence-based model for software
engineering research and practice. The book explains the roles of
primary studies (experiments, surveys, case studies) as elements of
an over-arching evidence model, rather than as disjointed elements
in the empirical spectrum. Supplying readers with a clear
understanding of empirical software engineering best practices, it
provides up-to-date guidance on how to conduct secondary studies in
software engineering-replacing the existing 2004 and 2007 technical
reports. The book is divided into three parts. The first part
discusses the nature of evidence and the evidence-based practices
centered on a systematic review, both in general and as applying to
software engineering. The second part examines the different
elements that provide inputs to a systematic review (usually
considered as forming a secondary study), especially the main forms
of primary empirical study currently used in software engineering.
The final part provides practical guidance on how to conduct
systematic reviews (the guidelines), drawing together accumulated
experiences to guide researchers and students in planning and
conducting their own studies. The book includes an extensive
glossary and an appendix that provides a catalogue of reviews that
may be useful for practice and teaching.
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