Quantitative measurements based on process and context models

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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.

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Madhavji, N. H., Botsford, J., Bruckhaus, T. F. W., & Emam, K. E. (1993). Quantitative measurements based on process and context models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 706 LNCS, pp. 67–72). Springer Verlag. https://doi.org/10.1007/3-540-57092-6_102

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