A systematic review of software maintainability prediction and metrics
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
ACM SIGSOFT Software Engineering Notes
Faster issue resolution with higher technical quality of software
Software Quality Control
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The software fault correction profiles play significant roles to assess the quality of software testing as well as to keep the good software maintenance activity. In this paper we develop a quantitative method to evaluate the software maintainability based on a stochastic model. The model proposed here is a queueing model with an infinite number of servers, and is related to the software faultdetection/correction profiles. Based on the familiar maximum likelihood estimation, we estimate quantitatively both the software reliability and maintainability with real project data, and refer to their applicability to the software maintenance practice. Keywords: software reliability, fault correction process, Mt/M/ queueing model, maximum likelihood estimation