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Guide to Advanced Empirical Software Engineering
 
 
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Guide to Advanced Empirical Software Engineering [Hardcover]

Forrest Shull (Editor), Janice Singer (Editor), Dag I. K. Sjøberg (Editor)

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Book Description

October 26, 2007
This book gathers chapters from some of the top international empirical software engineering researchers focusing on the practical knowledge necessary for conducting, reporting and using empirical methods in software engineering. Topics and features include guidance on how to design, conduct and report empirical studies. The volume also provides information across a range of techniques, methods and qualitative and quantitative issues to help build a toolkit applicable to the diverse software development contexts


Editorial Reviews

Review

"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)

From the Back Cover

Empirical studies have become an integral element of software engineering research and practice. This unique text/reference includes chapters from some of the top international empirical software engineering researchers and focuses on the practical knowledge necessary for conducting, reporting and using empirical methods in software engineering. Part 1, ‘Research Methods and Techniques’, examines the proper use of various strategies for collecting and analysing data, and the uses for which those strategies are most appropriate. Part 2, ‘Practical Foundations’, provides a discussion of several important global issues that need to be considered from the very beginning of research planning. Finally, ‘Knowledge Creation’ offers insight on using a set of disparate studies to provide useful decision support. Topics and features: • Offers information across a range of techniques, methods, and qualitative and quantitative issues, providing a toolkit for the reader that is applicable across the diversity of software development contexts • Presents reference material with concrete software engineering examples • Provides guidance on how to design, conduct, analyse, interpret and report empirical studies, taking into account the common difficulties and challenges encountered in the field • Arms researchers with the information necessary to avoid fundamental risks • Tackles appropriate techniques for addressing disparate studies – ensuring the relevance of empirical software engineering, and showing its practical impact • Describes methods that are less often used in the field, providing less conventional but still rigorous and useful ways of collecting data • Supplies detailed information on topics (such as surveys) that often contain methodological errors This broad-ranging, practical guide will prove an invaluable and useful reference for practising software engineers and researchers. In addition, it will be suitable for graduate students studying empirical methods in software development. Dr. Forrest Shull is a senior scientist at the Fraunhofer Center for Experimental Software Engineering, Maryland, and the director of its Measurement and Knowledge Management Division. In addition, he serves as associate editor in chief of IEEE Software magazine, specializing in empirical studies. Dr. Janice Singer heads the Human Computer Interaction program at the National Research Council, Canada. She has been conducting empirical research in software engineering for the past 12 years. Dr. Dag Sjøberg is currently research director of the software engineering group of the Simula Research Laboratory, Norway, which is ranked No. 3 in the world (out of 1400 institutions) in an evaluation in 2007 in the area of software and systems engineering.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
multiple evidence sources, group support systems, software process simulation modeling, software metrics, code doc size, code fault injection, confirmatory case studies, engineering data collection, subject information sheet, average code size, external replication, empirical software engineering, software engineering surveys, software process simulation, software engineering researchers, code faults, research ethics guidelines, software engineering experiments, archetype classes, missing data techniques, defect threshold, laboratory package, inspection participants, software engineering literature, explanatory breadth
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Software Engineering, New York, Building Theories, Thousand Oaks, International Conference, Sage Publications, Canadian Institutes of Health Research, Practical Guide, Qualitative Methods, Los Alamitos, Simulation Methods, Personal Opinion Surveys, Ethical Research Involving Humans, Empirical Tool, The Focus Group Method, The Management of University-Industry Collaborations, Inspection Study, International Workshop, International Symposium, University of Ottawa, Constant Input, Replication's Role, American Psychological Association, Oxford University Press, System Sciences
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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