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English
Chapman & Hall/CRC
30 June 2020
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.

By:   , , , , , ,
Imprint:   Chapman & Hall/CRC
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 156mm, 
Weight:   680g
ISBN:   9780367575335
ISBN 10:   0367575337
Series:   Chapman & Hall/CRC Innovations in Software Engineering and Software Development Series
Pages:   399
Publication Date:  
Audience:   College/higher education ,  General/trade ,  Primary ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active
The Evidence-Based Paradigm. Evidence-Based Software Engineering (EBSE). Planning a Review. Forms of Secondary Study. Searching for Primary Studies. Study Selection. Assess Study Quality. Extract Study Data. Synthesis. Knowledge Translation. Controlled Experiments. Controlled Quasi-Experiments. Case Studies. Surveys. Qualitative studies. Replication.

Barbara Ann Kitchenham, David Budgen, Pearl Brereton

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