Overview
- Editors:
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Forrest Shull
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Fraunhofer Center Maryland, College Park, USA
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Janice Singer
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National Research Council Canada, Ottawa, Canada
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Dag I. K. Sjøberg
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Simula Research Laboratory, Norway
- To-date there has been no advanced material geared towards new researchers and graduates – this book fills this gap
- Offers an extensive toolkit of techniques, methods and qualitative and quantitative issues for tackling a diversity of software development contexts
- Offers guidance on the common difficulties and challenges encountered in the field, presenting concrete software engineering examples
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About this book
Empirical studies have become an important part of software engineering research and practice. Ten years ago, it was rare to see a conference or journal article about a software development tool or process that had empirical data to back up the claims. Today, in contrast, it is becoming more and more common that software engineering conferences and journals are not only publishing, but eliciting, articles that describe a study or evaluation. Moreover, a very successful conference (International Symposium on Empirical Software Engineering and Measurement), journal (Empirical Software Engineering), and organization (International Software Engineering Research Network) have all evolved in the last 10 years that focus solely on this area. As a further illustration of the growth of empirical software engineering, a search in the articles of 10 software engineering journals showed that the proportion of articles that used the term “empirical software engineering” d- bled from about 6% in 1997 to about 12% in 2006. While empirical software engineering has seen such substantial growth, there is not yet a reference book that describes advanced techniques for running studies and their application. This book aims to fill that gap. The chapters are written by some of the top international empirical software engineering researchers and focus on the practical knowledge necessary for conducting, reporting, and using empirical methods in software engineering. The book is intended to serve as a standard reference.
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Table of contents (14 chapters)
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Research Methods and Techniques
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- Janice Singer, Susan E. Sim, Timothy C. Lethbridge
Pages 9-34
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- Barbara A. Kitchenham, Shari L. Pfleeger
Pages 63-92
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- Jyrki Kontio, Johanna Bragge, Laura Lehtola
Pages 93-116
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- Mark Müller, Dietmar Pfahl
Pages 117-152
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Practical Foundations
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- Andreas Jedlitschka, Marcus Ciolkowski, Dietmar Pfahl
Pages 201-228
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- Norman G. Vinson, Janice Singer
Pages 229-256
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- Timothy C. Lethbridge, Steve Lyon, Peter Perry
Pages 257-281
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Knowledge Creation
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- Steve Easterbrook, Janice Singer, Margaret-Anne Storey, Daniela Damian
Pages 285-311
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- Dag I. K. Sjøberg, Tore Dybå, Bente C. D. Anda, Jo E. Hannay
Pages 312-336
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- Forrest Shull, Raimund L. Feldmann
Pages 337-364
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- A. Brooks, M. Roper, M. Wood, J. Daly, J. Miller
Pages 365-379
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Back Matter
Pages 381-388
Reviews
"the book does a good job of minimizing the usual problems in a collection of papers by different authors. …There are ample references in each chapter, as well as a bibliography. This is indeed a guide, as it often just points to other sources. It should be very useful to graduate students and researchers engaged in empirical software engineering research."
(Andrew R. Huber, ACM Computing Reviews, February 2009)
Editors and Affiliations
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Fraunhofer Center Maryland, College Park, USA
Forrest Shull
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National Research Council Canada, Ottawa, Canada
Janice Singer
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Simula Research Laboratory, Norway
Dag I. K. Sjøberg