@conference {406,
	title = {Application of Statistical Process Control to Software Defect Metrics: An Industry Experience Report},
	booktitle = {Empirical Software Engineering and Measurement, 2013 ACM / IEEE International Symposium on},
	year = {2013},
	month = {08/2013},
	abstract = {<p>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.</p>},
	keywords = {quantitative management, software metrics, software process improvement, statistical process control},
	isbn = {978-0-7695-5056-5},
	doi = {10.1109/ESEM.2013.51},
	author = {Fernandez-Corrales, C. and Jenkins, M. and Villegas, J.}
}
