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Quantitative measurements based on process and context models

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Experimental Software Engineering Issues: Critical Assessment and Future Directions

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 706))

Abstract

Measurement of a software development process is an important way to understand and improve processes. In this paper we propose that measurement programs should be based on a solid understanding of the process and the process context. One way to achieve this type of understanding is to first build formal process and context models. It is pointed out that process and context models can be used to systematically adapt, improve, reuse and standardise measurement programs. We conclude by describing briefly the currently conducted case studies that led to the views expressed in this position statement.

This research was in part supported by NSERC, IBM, and CRIM.

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References

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H. Dieter Rombach Victor R. Basili Richard W. Selby

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© 1993 Springer-Verlag Berlin Heidelberg

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Madhavji, N.H., Botsford, J., Bruckhaus, T.F.W., El Emam, K. (1993). Quantitative measurements based on process and context models. In: Rombach, H.D., Basili, V.R., Selby, R.W. (eds) Experimental Software Engineering Issues: Critical Assessment and Future Directions. Lecture Notes in Computer Science, vol 706. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57092-6_102

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  • DOI: https://doi.org/10.1007/3-540-57092-6_102

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57092-9

  • Online ISBN: 978-3-540-47903-1

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