Ebook: Guide to Advanced Empirical Software Engineering

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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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 Sj?berg 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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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 Sj?berg 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.

Content:
Front Matter....Pages i-xi
Software Engineering Data Collection for Field Studies....Pages 9-34
Qualitative Methods....Pages 35-62
Personal Opinion Surveys....Pages 63-92
The Focus Group Method as an Empirical Tool in Software Engineering....Pages 93-116
Simulation Methods....Pages 117-152
Statistical Methods and Measurement....Pages 155-184
Missing Data in Software Engineering....Pages 185-200
Reporting Experiments in Software Engineering....Pages 201-228
A Practical Guide to Ethical Research Involving Humans....Pages 229-256
The Management of University–Industry Collaborations Involving Empirical Studies of Software Enginee....Pages 257-281
Selecting Empirical Methods for Software Engineering Research....Pages 285-311
Building Theories in Software Engineering....Pages 312-336
Building Theories from Multiple Evidence Sources....Pages 337-364
Replication's Role in Software Engineering....Pages 365-379
Back Matter....Pages 381-388

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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 Sj?berg 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.

Content:
Front Matter....Pages i-xi
Software Engineering Data Collection for Field Studies....Pages 9-34
Qualitative Methods....Pages 35-62
Personal Opinion Surveys....Pages 63-92
The Focus Group Method as an Empirical Tool in Software Engineering....Pages 93-116
Simulation Methods....Pages 117-152
Statistical Methods and Measurement....Pages 155-184
Missing Data in Software Engineering....Pages 185-200
Reporting Experiments in Software Engineering....Pages 201-228
A Practical Guide to Ethical Research Involving Humans....Pages 229-256
The Management of University–Industry Collaborations Involving Empirical Studies of Software Enginee....Pages 257-281
Selecting Empirical Methods for Software Engineering Research....Pages 285-311
Building Theories in Software Engineering....Pages 312-336
Building Theories from Multiple Evidence Sources....Pages 337-364
Replication's Role in Software Engineering....Pages 365-379
Back Matter....Pages 381-388
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