DocumentCode
652667
Title
Application of Statistical Process Control to Software Defect Metrics: An Industry Experience Report
Author
Fernandez-Corrales, Carla ; Jenkins, Michael ; Villegas, Julian
Author_Institution
Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2013
fDate
10-11 Oct. 2013
Firstpage
323
Lastpage
331
Abstract
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.
Keywords
program verification; software metrics; statistical process control; SPC; financial institution; information technology division; software defect metrics; software validation; software verification; statistical process control; Control charts; Measurement; Organizations; Process control; Software; Standards organizations; Statistical Process Control; quantitative management; software metrics; software process improvement;
fLanguage
English
Publisher
ieee
Conference_Titel
Empirical Software Engineering and Measurement, 2013 ACM / IEEE International Symposium on
Conference_Location
Baltimore, MD
ISSN
1938-6451
Print_ISBN
978-0-7695-5056-5
Type
conf
DOI
10.1109/ESEM.2013.51
Filename
6681375
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