Evidence-Based Software Engineering and Systematic Reviews (inbunden)
Fler böcker inom
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
399
Utgivningsdatum
2015-11-05
Förlag
Apple Academic Press Inc.
Illustratör/Fotograf
black and white 54 Illustrations 28 Tables black and white
Illustrationer
28 Tables, black and white; 54 Illustrations, black and white
Dimensioner
241 x 158 x 31 mm
Vikt
743 g
Antal komponenter
1
ISBN
9781482228656
Evidence-Based Software Engineering and Systematic Reviews (inbunden)

Evidence-Based Software Engineering and Systematic Reviews

Proceedings of the 2014 Asia-pacific Congress on Sports Technology and Engineering (Ste 2014), December 8-9, 2014, Singapore

Inbunden Engelska, 2015-11-05
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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.
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PART I EVIDENCE-BASED PRACTICES IN SOFTWARE ENGINEERING The Evidence-Based Paradigm What do we mean by evidence? Emergence of the evidence-based movement The systematic review Some limitations of an evidence-based view of the world Evidence-Based Software Engineering (EBSE) Empirical knowledge before EBSE From opinion to evidence Organizing evidence-based software engineering practices Software engineering characteristics Limitations of evidence-based practices in software engineering Using Systematic Reviews in Software Engineering Systematic reviews Mapping studies Meta-analysis Planning a Systematic Review Establishing the need for a review Managing the review project Specifying the research questions Developing the protocol Validating the protocol Searching for Primary Studies Completeness Validating the search strategy Methods of searching Examples of search strategies Study Selection Selection criteria Selection process The relationship between papers and studies Examples of selection criteria and process Assessing Study Quality Why assess quality? Quality assessment criteria Procedures for assessing quality Examples of quality assessment criteria and procedures Extracting Study Data Overview of data extraction Examples of extracted data and extraction procedures Mapping Study Analysis Analysis of publication details Classification analysis Automated content analysis Clusters, gaps, and models Qualitative Synthesis Qualitative synthesis in software engineering research Qualitative analysis terminology and concepts Using qualitative synthesis methods in software engineering systematic reviews Description of qualitative synthesis methods General problems with qualitative meta-synthesis Meta-Analysis With Lech Madeyski Meta-analysis example Effect sizes Conversion between different effect sizes Meta-analysis methods Heterogeneity Moderator analysis Additional analyses Reporting a Systematic Review Planning reports Writing reports Validating reports Tool Support for Systematic Reviews With Christopher Marshall Review tools in other disciplines Tools for software engineering reviews Evidence to Practice: Knowledge Translation and Diffusion What is knowledge translation? Knowledge translation in the context of software engineering Examples of knowledge translation in software engineering Diffusion of software engineering knowledge Systematic reviews for software engineering education Further Reading for Part I Part II THE SYSTEMATIC REVIEWER'S PERSPECTIVE OF PRIMARY STUDIES Primary Studies and Their Role in EBSE Some characteristics of primary studies Forms of primary study used in software engineering Ethical issues Reporting primary studies Replicated studies Further reading Controlled Experiments and Quasi-Experiments Characteristics of controlled experiments and quasi-experiments Conducting experiments and quasi-experiments Research questions that can be answered by using experiments and quasi-experiments Examples from the software engineering literature Reporting experiments and quasi-experiments Further reading Surveys Characteristics of surveys Conducting surveys Research questions that can be answered by using surveys Examples of surveys from the software engineering literature Reporting surveys Further reading Case Studies Characteristics of case studies Conducting case study research Research questions that can be answered by using case studies Example of a case study from the software engineering literature Reporting case studies Further reading Qualitative Studies Characteristics of a qualitative study Conducting qualitative research Research questions that can be answered using qualitative studies Examples of qualitative studies in software engineering Reporting qualitative studies Further reading Data Mining Studies Characteristics of data mining studies Conducting data mining research in software engineering Research questions that can be answered by data mining Examples o