Empirical Software Engineering Issues. Critical Assessment and Future Directions : International Workshop, Dagstuhl Castle, Germany, June 26-30, 2006, Revised Papers / edited by Victor Basili, Dieter Rombach, Kurt Schneider, Barbara Kitchenham, Dietmar Pfahl, Richard Selby.

Format:

Book

Contributor:

Basili, Victor, editor.

Rombach, H. Dieter, editor.

Schneider, Kurt, editor.

Kitchenham, Barbara, editor.

Pfahl, Dietmar, editor.

Selby, Richard, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Programming and software engineering ; SL 2, 4336.

Programming and Software Engineering ; 4336

Language:

English

Subjects (All):

Software engineering.

Computer simulation.

Data mining.

Software Engineering.

Simulation and Modeling.

Data Mining and Knowledge Discovery.

Local Subjects:

Software Engineering.

Simulation and Modeling.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XVII, 193 pages).

Edition:

First edition 2007.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.

System Details:

text file PDF

Summary:

Victor R. Basili, Dieter Rombach, and Kurt Schneider Introduction In 1992, a Dagstuhl seminar was held on "Experimental Software Engineering Issues" (seminar numbers 9238). Its goal was to discuss the state of the art of empirical software engineering (ESE) by assessing past accomplishments, raising open questions, and proposing a future research agenda. Since 1992, the topic of ESE has been adopted more widely by academia as an interesting and promising research topic, and in industrial practice as a necessary infrastructure technology for goal-oriented, sustained process improvement. At the same time, the spectrum of methods applied in ESE has broadened. For example, in 1992, the empirical methods applied in software engineering were basically restricted to quantitative studies (mostly controlled experiments), whereas since then, a range of qualitative methods have been introduced, from observational to ethnographical studies. Thus, the field can be said to have moved from experimental to empirical software engineering. We believe that it is now time to again bring together practitioners and researchers to identify both the progress made since 1992 and the most important challenges for the next five to ten years.

Contents:

Session 1 The Empirical Paradigm

The Empirical Paradigm Introduction

Approaches for Empirical Validation

Techniques for Empirical Validation

Status of Empirical Research in Software Engineering

Position Papers

Aggregation of Empirical Evidence

Empirical Evaluation in Software Engineering: Role, Strategy, and Limitations

New Opportunities for Empirical Research

Empirical Paradigm: Position Paper

The Value of Empirical Evidence for Practitioners and Researchers

Exploration Versus Confirmation

Empirical Paradigm - The Role of Experiments

The Role of Controlled Experiments in Software Engineering Research

Creating Real Value in Software Engineering Experiments

From Silver Bullets to Philosophers' Stones: Who Wants to Be Just an Empiricist?

Social and Human Aspects of Software Engineering

Longitudinal Studies in Evidence-Based Software Engineering

The Use of Grounded Theory in Empirical Software Engineering

Historical Review

Exploration and Confirmation: An Historical Perspective

Working Group Results

Combining Study Designs and Techniques Working Group Results

Optimizing Return-On-Investment (ROI) for Empirical Software Engineering Studies Working Group Results

The Role of Controlled Experiments Working Group Results

Discussion and Summary

The Empirical Paradigm Discussion and Summary

Session 2 Measurement and Model Building

Measurement and Model Building Introduction

Data Sharing

Data Collection, Analysis, and Sharing Strategies for Enabling Software Measurement and Model Building

Knowledge Acquisition in Software Engineering Requires Sharing of Data and Artifacts

Effective Data Interpretation

Software Support Tools and Experimental Work

Measurement and Interpretation of Productivity and Functional Correctness

Synthesising Research Results

On the Quality of Data

Potential of Open Source Systems as Project Repositories for Empirical Studies Working Group Results

Data Sharing Enabling Technologies Working Group Results

Documenting Theories Working Group Results

Measurement and Model Building Discussion and Summary

Session 3 Technology Transfer and Education

Technology Transfer and Education Introduction

Technology Transfer

Empirical Studies as a Basis for Technology Transfer

Relationships and Responsibilities of Software Experimentation

The (Practical) Importance of SE Experiments

How to Improve the Use of Controlled Experiments as a Means for Early Technology Transfer

Extending Empirical Studies to Cover More Realistic Industrial Development and Project Management Issues

Empirical Case Studies in Industry: Some Thoughts

Software Process Simulation Frameworks in Support of Packaging and Transferring Empirical Evidence

Structuring Families of Industrial Case Studies

Education

Empirical Software Engineering: Teaching Methods and Conducting Studies

Educational Objectives for Empirical Methods

On "Landscaping" and Influence of Empirical Studies

Involving Industry Professionals in Empirical Studies with Students

Industry-Research Collaboration Working Group Results

Teaching Empirical Methods to Undergraduate Students Working Group Results

Technology Transfer and Education Discussion and Summary

Roadmapping

Empirical Software Engineering Research Roadmap Introduction

Roadmapping Working Group 1 Results

Roadmapping Working Group 2 Results

Roadmapping Working Group 3 Results

Roadmapping Working Group 4 Results

Empirical Software Engineering Research Roadmap Discussion and Summary.

Other Format:

Printed edition:

ISBN:

978-3-540-71301-2

9783540713012

Access Restriction:

Restricted for use by site license.