Software measurement and experimentation provide a cross-cutting foundation for software understanding, analysis, evaluation, and improvement. Effective measurement and experimentation requires a variety of issues to be addressed ranging from goal specification to metric definition to data interpretation. This paper focuses on a subset of the measurement and experimentation issues related to frameworks, mechanisms, and infrastructure. In particular, the paper highlights research issues or results in these areas: frameworks for measurement and experimentation, existing measures, determining appropriate measures, data collection, experimental designs, and infrastructure for measurement.
CITATION STYLE
Selby, R. W. (1993). Software measurement and experimentation frameworks, mechanisms, and infrastructure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 706 LNCS, pp. 89–106). Springer Verlag. https://doi.org/10.1007/3-540-57092-6_106
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