Software—Practice & Experience
Application of software reliability modelling to product quality and test process
ICSE '90 Proceedings of the 12th international conference on Software engineering
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
Can a Manufacturing Quality Model Work for Software?
IEEE Software
Sorting out Six Sigma and the CMM
IEEE Software
Practical Applications of Statistical Process Control
IEEE Software
Using Inspection Data for Defect Estimation
IEEE Software
Optimum Control Limits for Employing Statistical Process Control in Software Process
IEEE Transactions on Software Engineering
Using Sensitivity Analysis to Validate a State Variable Model of the Software Test Process
IEEE Transactions on Software Engineering
Feedback Control of the Software Test Process Through Measurements of Software Reliability
ISSRE '01 Proceedings of the 12th International Symposium on Software Reliability Engineering
Lessons learnt from the analysis of large-scale corporate databases
Proceedings of the 28th international conference on Software engineering
Experiences of applying SPC techniques to software development processes
Proceedings of the 28th international conference on Software engineering
Using fault slippage measurement for monitoring software process quality during development
Proceedings of the 2006 international workshop on Software quality
Optimized software process for fault handling in global software development
ICSP'08 Proceedings of the Software process, 2008 international conference on Making globally distributed software development a success story
Software verification process improvement proposal using six sigma
PROFES'07 Proceedings of the 8th international conference on Product-Focused Software Process Improvement
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Statistical Process Control (SPC) is a powerful tool to control the quality of processes. It assists management personnel in the identification of problems and actions to be taken to bring a process into a stable state. SPC has been applied in various fields, including the Software Development Process. However, some processes are better characterized by factors that exhibit an exponential behavior. The use of such factors for process control limits the application of traditional SPC techniques. The Software Test Process (STP) characterized by the decay in the number of remaining errors, failure intensity, and an increase in code coverage, is one such process.A variant of the traditional SPC technique is proposed. This variant uses logarithmic transformation to allow the statistical control of processes whose dominant behavior is best described by an exponential. An evaluation of the proposed transformation carried out using simulation and a case study from an industrial project, encourages the application of the proposed variant to the STP.