Assessment of software process and metrics to support quantitative understanding

Date

2007-11-07

Author

TARHAN, AYÇA
Demirörs, Onur

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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The use of process metrics and data for quantitative understanding is not very straightforward. If we have an identification of process components and follow a measurement process, we are likely to use process metrics and data effectively. But if we don't have these practices, we can hardly trust oil process metrics and data for quantitative understanding. In this paper, we summarize eight case studies that we performed in different industrial contexts. The case studies rely on an assessment approach that investigates suitability of a software process and metrics for quantitative analyses. The approach investigates a process's inner attributes and outer factors as well as a number of usability characteristics for process metrics. We validated the results of the studies via SPC tools. This paper brief's the approach, explains contexts and findings of the case studies, and discusses overall case study results.

Subject Keywords

Software measurement, Quantitative management, Statistical process control

URI

https://hdl.handle.net/11511/53200

Conference Name

Joint Meeting of the International Workshop on Software Measurement (IWSM)/International Conference on Software Process and Product Measurement (MENSURA)

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

A. TARHAN and O. Demirörs, “Assessment of software process and metrics to support quantitative understanding,” Palma de Mallorca, SPAIN, 2007, vol. 4895, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53200.