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Perspectives

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Abstract

Three perspectives on Software Process Improvement through Metrics are given in this chapter. The views of Norman Fenton and José D. Carrillo Verdun were presented at EUREX Metrics Workshops in the UK and Spain respectively. Terttu Orci was an active member of the Nordic EUREX team and made a study of Metrics Quality in relevant Process Improvement Experiments.

Keywords

Software Quality Defect Prediction Software Measurement Software Metrics Operational Fault 
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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Bibliography

  1. [Adams84]
    Adams E. Optimising preventive service of software products IBM Research Journal 28 1), 2–14, 198CrossRefGoogle Scholar
  2. [Basili84]
    Basili V.R. and Perricone B.T., Software Errors and Complexity: An Empirical Investigation, Communications of the ACM 27 (1), pp. 42–52, 1984.CrossRefGoogle Scholar
  3. [Cartwright97]
    Cartwright M. and Shepperd M., An empirical investigation of an objectoriented software system, Tech Report TR 96/01, Dept Computing, Bournemouth University, 1997.Google Scholar
  4. [Fenton99a]
    Fenton N.E. and Neil M., A Critique of Software Defect Prediction Models, IEEE Transactions on Software Engineering, to appear, 1999.Google Scholar
  5. [Fenton99b]
    Fenton N.E. and Ohlsson N., Quantitative Analysis of Faults and Failures in a Complex Software System, IEEE Transactions on Software Engineering, to appear, 1999.Google Scholar
  6. [Fenton96]
    Fenton N.E. and Pfleeger S.L., Software Metrics: A Rigorous and Practical Approach (2nd Edition), International Thomson Computer Press, 1996.Google Scholar
  7. [Grady92]
    Grady R. B., Practical Software metrics for Project Management and Process Improvement, Prentice Hall, 1992Google Scholar
  8. [Hatton98]
    Hatton L., Does OO sync with how we think?, IEEE Software. 15 (3), 1998, 46–54.CrossRefGoogle Scholar
  9. [Hetzel93]
    Hetzel B, Making Software Measurement Work, QED, 1993.Google Scholar
  10. [Ohlsson96]
    Ohlsson N. and Alberg H., Predicting error-prone software modules in telephone switches, IEEE Transactions on Software Engineering, 22 (12), 886–894, 1996.CrossRefGoogle Scholar
  11. [Vessey84]
    Vessey I. and Webber R., Research on structured programming: an empiricists evaluation, IEEE Transactions on Software Engineering, 10, July 1984, 397–407.Google Scholar

References

  1. [Zuse95]
    Zuse, Horst. History of software measurement, 1995.Google Scholar
  2. [Oman96]
    Oman P. and Pfleeger, S.L. Applying software metrics, IEEE Computer Society Press, Los Alamitos, 1996.Google Scholar
  3. [Fenton96]
    Fenton N. and Pfleeger S.L., Software Metrics: A rigorous and practical approach, International Thomson Press, London, 1996.Google Scholar
  4. [Grady96]
    Grady R.B. and Caswell D.L., Practical software metrics for project management and process improvement, Prentice Hall, 1996.Google Scholar
  5. [Drücker73]
    Drücker P.F., Management: Task, Responsibilities, Practices, Harper & Row, New York, 1973.Google Scholar
  6. [Pfleeger97]
    Pfleeger S. L., Jeffery R., Curtis B., Kitchenham B., Status report on software measurement, IEEE Software, March/April 1997.Google Scholar
  7. [Jones97]
    Jones C., Polishing the software process, Software Development, pg. 47–54, December 1997.Google Scholar

References

  1. [Albrecht 97]
    Albrecht, A.J., Measuring Application Development, in Proceedings of IBM Applications Development Joint SHARE/GUIDE Symposium, Monterey, CA, pp. 83–92, 1979.Google Scholar
  2. [AMI93]
    AMI — Application of Metrics in Industry, ESPRIT metrics technology transfer project 1991-1993.Google Scholar
  3. [Basili88]
    Basili, V.R., Rombach, H.D., The TAME project: Towards improvementoriented software environments, in IEEE Transactions on Software Engineering 14 (6), pp.758–773, 1988.CrossRefGoogle Scholar
  4. [Boehm81]
    Boehm, B.W., Software Engineering Economics, Prentice Hall, 1981.Google Scholar
  5. [EUREX]
    EUREX — European Experience Exchange, Project Number 24478, ESSI Dissemination Action, Annex I, Project Programme.Google Scholar
  6. [Fenton96]
    Fenton, N.E., Pfleeger, S.L., Software Metrics — A Rigorous & Practical Approach, International Thomsom Publishing Inc., 1996.Google Scholar
  7. [Fenton95]
    Fenton, N. Whitty, R., lizuka, Y., Software Quality — Assurance and Measurement. A Worldwide Perspective. International Thomson Computer Press, 1995.Google Scholar
  8. [Gillies97]
    Gillies, A.C., Software Quality — Theory and Management, 2nd ed, International Thomson Computer Press, 1997.Google Scholar
  9. [Grady92]
    Grady, R.B., Practical Software Metrics for Project Management and Process Improvement. Prentice Hall, 1992.Google Scholar
  10. [Kan95]
    Kan, S.H., Metrics and Models in Software Quality Engineering. Addison-Wesley, 1995.Google Scholar
  11. [Oskarsson95]
    Oskarsson, Ö., Glass, R.L., ISO 9000 i programutveckling — att konstruera kvalitetsprodukter, Studentlitteratur, 1995.Google Scholar
  12. [Paulk95]
    Paulk, M.C. et al, The Capability Maturity Model — Guidelines for Improving the Software Process, Addison-Wesley, 1995.Google Scholar
  13. [Putnam79]
    Putnam, L.H., Fitzsimmons, A., Estimating software costs, in Datamation, Deptember, October and November 1979, pp. 312–315.Google Scholar
  14. [SEI96]
    SEI, Managing Software Development with Metrics, Course material, 1996.Google Scholar
  15. [Shepperd95]
    Shepperd, M. Foundations of Software Measurement. Prentice Hall, 1995.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  1. 1.SISUKista
  2. 2.City UniversityLondon
  3. 3.AEMESMadrid
  4. 4.SISUStockholm UniversityStockholm

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