Evidence-Based Software Engineering and Systematic Reviews

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A01=Barbara Ann Kitchenham
A01=David Budgen
A01=Pearl Brereton
academic systematic reviews
Assessing Study Quality
Author_Barbara Ann Kitchenham
Author_David Budgen
Author_Pearl Brereton
Case Studies
Category=UMZ
conducting systematic reviews in computing
Critical Appraisal Checklists
Data Extraction
Empirical Software Engineering
empirical software studies
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Evidence-Based Software Engineering
experimental design software
Experiments
Funnel Plots
Independent Studies
Informal Search
Likert Response Format
Mapping Study
Meta-Analysis
Primary Studies
Qualitative Meta-synthesis
Qualitative Systematic Review
Quality Assessment Criteria
Quantitative Systematic Review
Requirements Elicitation Techniques
research synthesis techniques
Search Strings
Secondary Studies
secondary study methods
Software Engineering Context
Software Engineering Education
software engineering evidence
Software Engineering Experiments
Software Engineering Research
Software Engineering Tasks
Surveys
Systematic Literature Review
Systematic Mapping Study
Systematic Review
Systematic Review Process
Systematic Reviewers
Tertiary Study

Product details

  • ISBN 9781482228656
  • Weight: 748g
  • Dimensions: 156 x 234mm
  • Publication Date: 05 Nov 2015
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

Barbara Ann Kitchenham, David Budgen, Pearl Brereton

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