DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MS.2011.91
Quantitative management requires an understanding of the nature of variation and utilizing this understanding to improve process performance. Popular process reference models like CMMI embrace quantitative management at high maturity levels. However, even at high maturity levels, there is limited number of available studies on the application of quantitative techniques. In this article, we describe a systematic approach with a well-defined, detailed guideline intended for use by software organizations in assessing their processes and applying quantitative techniques to understand their potential for improvement. More specifically, we introduce an Assessment Approach for Quantitative Process Management (A2QPM) to evaluate the suitability of a software process and measures for quantitative analysis and we discuss the application of this approach in 12 processes in 6 different organizations. The results show that as systematic approaches and supporting tools become available, software organizations can readily apply quantitative techniques to improve their processes.
Index Terms:
D.2.18.c Process measurement, D.2.18.b Process infrastructure, K.6.3.c Software process, acquisition, software engineering education, requirements elicitation, project management, process improvement, metrics, management, estimation, D.2.5.a, D.2.19, D.2.8.d, SF.8:SF.9.h:SF.9.g:SF.9.i:SF.9.b:SF.9.c:SF.9.d:SF.10.d:SF.11.c:SF, D.2 Software Engineering, D.2.18 Software Engineering Process, D.2.8 Metrics/Measurement, D.2.18.c Process measurement, D.2.18.b Process infrastructure, K.6.3.c Software process,
Citation:
Ayca Tarhan, Onur Demirors, "Apply Quantitative Management Now," IEEE Software, 22 Jul. 2011. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/MS.2011.91> Usage of this product signifies your acceptance of the Terms of Use. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||