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Product and Process Metrics: A Software Engineering Measurement Expert System

  • Conference paper
  • First Online:
Product Focused Software Process Improvement (PROFES 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2559))

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Abstract

Software engineering measurement and metrics are key technologies toward quantitative software engineering. However, software measurement is so complicated that practitioners in software engineering might not be able to adopt and use a comprehensive measurement system. To address this problem, a software engineering measurement expert system tool (SEMEST) is developed based on the software engineering measurement system (SEMS) established by TESERC [8], [9]. SEMEST provides an expert environment for supporting and implementing software engineering measurement, metrical analysis, and benchmarking in the software industry.

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References

  1. Basili, V.R., C. Caldiera, H.D. Rombach (1994), Goal Question Metric Paradigm, in J.J. Marciniak ed., Encyclopedia of Software Engineering, Vol. 1, John Wiley & Sons, pp. 528–532.

    Google Scholar 

  2. Fenton, N.E. and S.L. Pfleeger, ed. (1998), Software Metrics: A Rigorous and Practical Approach (2nd ed.), Brooks/Cole Pub Co, ISBN: 0534954251.

    Google Scholar 

  3. Grady, R.B. (1992), Practical Software Metrics for Project Management and Process Improvement, Prentice-Hall, Inc., Englewood Cliffs, NJ.

    Google Scholar 

  4. Lorenz, M. and J. Kidd (1993), Object-Oriented Software Metrics: A Practical Guide, ISBN: 013179292X.

    Google Scholar 

  5. Melton, A. ed., (1996), Software Measurement, International Thomson Computer Press, ISBN: 1-85032-7178-7.

    Google Scholar 

  6. Solingen, V.R. and E. Berghout (1999), The Goal/Question/Metric Method: A Practical Guide Y. (2001), Formal Description of Object-Oriented Software Measurement and Metrics in SEMS, for Quality Improvement of Software Development, McGraw-Hill Co., London.

    Google Scholar 

  7. Wang, Y. and G. King (2000), Software Engineering Processes: Principles and Applications, CRC Press, USA, ISBN: 0-8493-2366-5, 752pp.

    Google Scholar 

  8. Wang, Proceedings of the 7th International Conference on Information Systems (OOIS’01), Springer-Verlag, London, August, ISBN: 1-85233-546-7, pp. 123–132.

    Google Scholar 

  9. Wang, Y. (2003), Software Engineering Measurement: An Applied Framework of Software Metrics, CRC Press, USA, to appear.

    Google Scholar 

  10. Wang, Y. (2002), Component-Based Software Measurement, Chapter 14 in F. Barbier ed. Business Component-Based Software Engineering, Kluwer Academic Publishers, UK, 2002.

    Google Scholar 

  11. Wang, Y. (2001),A Software Engineering Measurement Framework (SEMF) for Teaching Quantitative Software Engineering, Proceedings of the Canadian Conference on Computer Engineering Education (CCCEE’01), IEEE and Univ. of New Brunswick, NB, Canada, May, pp.88–101.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Theoretical and Empirical Software Engineering Research Centre (TESERC) Dept. of Electrical and Computer Engineering, University of Calgary, 2500 Univ. Dr., T2N 1N4, Calgary, AB, NW, Canada

    Yingxu Wang, Qing He, Chris Kliewer, Tony Khoo, Vincent Chiew, Wendy Nikoforuk & Lian Chen

Authors
  1. Yingxu Wang
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  2. Qing He
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  3. Chris Kliewer
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  4. Tony Khoo
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  5. Vincent Chiew
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  6. Wendy Nikoforuk
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  7. Lian Chen
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Editor information

Editors and Affiliations

  1. Department of Information Processing Science, University of Oulu, P.O. Box 3000, 90014, Oulun yliopisto, Finland

    Markku Oivo

  2. VTT Electronics, VTT Technical Research Centre of Finland, P.O. Box 1100, 90571, Oulu, Finland

    Seija Komi-Sirviö

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© 2002 Springer-Verlag Berlin Heidelberg

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Wang, Y. et al. (2002). Product and Process Metrics: A Software Engineering Measurement Expert System. In: Oivo, M., Komi-Sirviö, S. (eds) Product Focused Software Process Improvement. PROFES 2002. Lecture Notes in Computer Science, vol 2559. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36209-6_29

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  • DOI: https://doi.org/10.1007/3-540-36209-6_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00234-5

  • Online ISBN: 978-3-540-36209-8

  • eBook Packages: Springer Book Archive

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