| Título | Application of Statistical Process Control to Software Defect Metrics: An Industry Experience Report |
| Tipo de publicación | Conference Paper |
| Year of Publication | 2013 |
| Autores | Fernandez-Corrales, C, Jenkins, M, Villegas, J |
| Conference Name | Empirical Software Engineering and Measurement, 2013 ACM / IEEE International Symposium on |
| Date Published | 08/2013 |
| ISBN Number | 978-0-7695-5056-5 |
| Accession Number | 13972588 |
| Palabras clave | quantitative management, software metrics, software process improvement, statistical process control |
| Resumen | Statistical Process Control (SPC) has become of great significance for software engineering organizations as more of them decide to implement quality improvement initiatives. The Capability Maturity Model Integration (CMMI-DEV 1.3) for example, proposes the use of statistical techniques at maturity level 4 to ensure some degree of process predictability. However, the nature of software products and processes poses many challenges to the application of SPC, mainly regarding the design of control charts, a key tool. These challenges have led to opposing views on the applicability of SPC to software processes. This article presents an industry experience report on the application of SPC in a Software Verification and Validation Unit at an Information Technology Division from a Financial institution. We present the steps followed to implement SPC in this organization, describe the theoretical assumptions involved in selecting the appropriate control charts, and show a process improvement analysis of using SPC in the organization. |
| DOI | 10.1109/ESEM.2013.51 |
