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Ami: promoting a quantitative approach to software management

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Abstract

In this paper we first review the state of the art in software measurement. We then explain how measurement should be used in a goal-oriented manner in project management and describe the ami (application of metrics in industry) approach to achieving this. Finally we consider the ami project as an example of successful technology transfer and look at the variety of tactics used for dissemination of the approach in response to the needs of today's growing software measurement community.

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References

  • AMI Consortium (1992) ami: A Quantitative Approach to Software Management. Published by South Bank University for the ami Consortium, ESPRIT Project 5494, ISBN 0-9522262-0-0.

  • Basili, V.R. and Rombach, H.D. (1988) The TAME project: towards improvement-oriented software environments. IEEE Transactions on Software Engineering 14 (6), 758–773.

    Article  Google Scholar 

  • Boehm, B. (1981) Software Engineering Economics (Addison-Wesley, Englewood Cliffs, N.J.).

    Google Scholar 

  • Bollinger, T.B. and McGowan, C. (1991) A critical look at software capability evaluations. IEEE Software, July, 25–41.

  • Bush, M.E. and Fenton, N.E. (1990) Software measurement: a conceptual framework. Journal of Systems & Software 12, 223–231.

    Google Scholar 

  • Bush, M.E. and Russell, M. (1992) Need for well-balanced education in software engineering measurement. Software Quality Journal 1, 81–100.

    Google Scholar 

  • Fenton, N.E. (1991) Software Metrics a Rigorous Approach (Chapman & Hall, London).

    Google Scholar 

  • Humphrey, W. (1989) Managing the Software Process, (Addison Wesley, Englewood Cliffs, N.J.).

    Google Scholar 

  • Kyburg, H.E. (1984) Theory and Measurement (Cambridge University Press, Cambridge).

    Google Scholar 

  • McCabe, T.J. (1976) A complexity measure. IEEE Transactions on Software Engineering SE-2, 308–320.

    Google Scholar 

  • Pfleeger, S.L. and McGowan, C.L. (1990) Software metrics in a process maturity framework. Journal of Systems and Software 12 (7), 255–261.

    Article  Google Scholar 

  • Roberts, F.S. (1979) Measurement Theory with Applications to Decision Making, Utility, and the Social Sciences (Addison Wesley, Englewood Cliffs, N.J.).

    Google Scholar 

  • Rombach, D. (1991) Practical benefits of goal-oriented measurement, in Software Reliability and Metrics, B. Littlewood and N. Fenton (eds) (Elsevier, London).

    Google Scholar 

  • Russell, M. and Bush, M. (1993) The METKIT academic package. Information and Software Technology 35 (2), 115–119.

    Google Scholar 

  • Shepperd, M. (1988) A critique of cyclomatic complexity as a software metric. Software Engineering Journal 3 (2), 30–36.

    Google Scholar 

  • Zuse, H. (1991) Software Complexity-Measures and Methods (De Gruyter, Berlin).

    Google Scholar 

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Rowe, A., Whitty, R. Ami: promoting a quantitative approach to software management. Software Qual J 2, 291–296 (1993). https://doi.org/10.1007/BF00403771

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