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Empirical Software Engineering Issues. Critical Assessment and Future Directions

International Workshop, Dagstuhl Castle, Germany, June 26-30, 2006, Revised Papers

  • Book
  • © 2007

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4336)

Part of the book sub series: Programming and Software Engineering (LNPSE)

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About this book

Victor R. Basili, Dieter Rombach, and Kurt Schneider Introduction In 1992, a Dagstuhl seminar was held on “Experimental Software Engineering Issues” (seminar no. 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.

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Table of contents (54 chapters)

  1. Session 1 The Empirical Paradigm

  2. Approaches for Empirical Validation

  3. Exploration Versus Confirmation

  4. Historical Review

Bibliographic Information

  • Book Title: Empirical Software Engineering Issues. Critical Assessment and Future Directions

  • Book Subtitle: International Workshop, Dagstuhl Castle, Germany, June 26-30, 2006, Revised Papers

  • Editors: Victor R. Basili, Dieter Rombach, Kurt Schneider, Barbara Kitchenham, Dietmar Pfahl, Richard W. Selby

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-540-71301-2

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2007

  • Softcover ISBN: 978-3-540-71300-5Published: 30 March 2007

  • eBook ISBN: 978-3-540-71301-2Published: 11 June 2007

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVII, 196

  • Topics: Software Engineering, Simulation and Modeling, Data Mining and Knowledge Discovery

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