Managing the software process
Statistical Process Control for Software?
IEEE Software
Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
Application of statistical process control to the software process
WADAS '92 Proceedings of the ninth Washington Ada symposium on Ada: Empowering software users and developers
Measuring the software process: statistical process control for software process improvement
Measuring the software process: statistical process control for software process improvement
Practical Applications of Statistical Process Control
IEEE Software
Investigating suitability of software process and metrics for statistical process control
EuroSPI'06 Proceedings of the 13th European conference on Software Process Improvement
Evaluating the suitability of a measurement repository for statistical process control
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
| Hi-index | 0.00 |
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 on 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 briefs the approach, explains contexts and findings of the case studies, and discusses overall case study results.