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Descriptive process modeling in an industrial environment: Experience and guidelines

  • Ulrike Becker-Kornstaedt
  • Wolfgang Belau
Session 7: Industrial Experiences, Part 2
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1780)

Abstract

Process modeling is a key activity in process improvement to understand the software process, to detect weaknesses in the process and to allow estimation. A mjor problem when process modeling is done in industrial environment is obtaining access to the information needed. This paper describes experience from descriptive process modeling in an industrial environment and reports problems and difficulties encountered in acquiring and formalizing that knowledge. From the experience, guidelines for descriptive process modeling activities, especially for process knowledge acquisition, are derived.

Keywords

Software Process Process Elicitation Software Process Improvement Process Expert Natural Language Description 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [BFL+95]
    Sergio Bandinelli, Alfonso Fuggetta, Luigi Lavazza, Maurizio Loi, and Gian Pietro Picco. Modeling and improving an industrial software process. IEEE Transactions on Software Engineering, 21(5):440–454, May 1995.CrossRefGoogle Scholar
  2. [BHV97]
    Ulrike Becker, Dirk Hamann, and Martin Verlage. Descriptive modeling of software processes. International Software Engineering Research Network (ISERN) Technical Report ISERN-97-10, Fraunhofer Institute for Experimental Software Engineering, 1997.Google Scholar
  3. [Coo94]
    Nancy J. Cooke. Varieties of knowledge elicitation techniques. International Journal of Human-Computer Studies, 41:801–849, 1994.zbMATHCrossRefGoogle Scholar
  4. [ESA91]
    ESA (European Space Agency). ESA Software Engineering Standards PSS-05-0, February 1991.Google Scholar
  5. [FP96]
    Norman E. Fenton and Shari L. Pfleeger. Software Metrics: A Rigorous & Practical Approach. International Thompson Computer Press, London, 1996.Google Scholar
  6. [JSK90]
    Charles M. Judd, Eliot R. Smith, and Louise H. Kidder. Research Methods in Social Relations. Harcourt, Brace, Jovanovich, 1990.Google Scholar
  7. [MHHB94]
    Nazim H. Madhavji, Dirk Höltje, WonKook Hong, and Tilmann Bruckhaus. Elicit: A method for eliciting process models. In Dewayne E. Perry, editor, Proceedings of the Third International Conference on the Software Process, pages 111–122. IEEE Computer Society Press, October 1994.Google Scholar
  8. [Nat91]
    National Aeronautics and Space Administration. Manager's handbook for software development. Technical Report SEL-84-101, NASA Goddard Space Flight Center, Greenbelt MD 20771, 1991.Google Scholar
  9. [PSV94]
    Dewayne E. Perry, Nancy A. Staudenmayer, and Lawrence G. Votta. People, organizations, and process improvement. IEEE Software, 11(4):36–45, July 1994.CrossRefGoogle Scholar
  10. [Ros99]
    Simo Rossi. Moving Towards Modelling Oriented Software Process Engineering: A Shift from Descriptive to Prescriptive Process Modelling. In Proceedings of PROduct Focused Improvement of Embedded Software Processes 99, pages 508–522, 1999.Google Scholar
  11. [RV95]
    H. Dieter Rombach and Martin Verlage. Directions in software process research. In Marvin V. Zelkowitz, editor, Advances in Computers, vol. 41, pages 1–63. Academic Press, 1995.Google Scholar
  12. [Sea99]
    Caroly B. Seaman. Qualitative Methods in Empirical Studies of Software Engineering. IEEE Transactions on Software Engineering, 1999.Google Scholar
  13. [Ver98]
    Martin Verlage. An approach for capturing large software development processes by integration of views modeled independently. In Proceedings of the Tenth Conference on Software Engineering and Knowledge Engineering, pages 227–235, San Francisco Bay, CA, USA, June 1998. Knowledge Systems Institute, Skokie, Illinois, USA.Google Scholar
  14. [WB97]
    Richard Webby and Ulrike Becker. Towards a Logical Schema Integrating Software Process Modeling and Software Measurement. In Rachel Harrison, editor, Proceedings of the Nineteenth International Conference on Software Engineering Workshop: Process Modelling and Empirical Studies of Software Evaluation, pages 84–88, Boston, USA, May 1997.Google Scholar

Copyright information

© Springer-Verlag 2000

Authors and Affiliations

  • Ulrike Becker-Kornstaedt
    • 1
  • Wolfgang Belau
    • 2
  1. 1.Fraunhofer Institut für Experimentelles Software Engineering (IESE)KaiserslauternGermany
  2. 2.Space Infrastructure DivisionDaimlerChrysler Aerospace AGBremenGermany

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