Quantifying Software Maintainability Based on a Fault-Detection/Correction Model

Author

Shibata, Kazuya ; Rinsaka, Koichiro ; Dohi, Tadashi ; Okamura, Hiroyuki

Author_Institution

Hiroshima Univ., Hiroshima

fYear

2007

fDate

17-19 Dec. 2007

Firstpage

35

Lastpage

42

Abstract

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 fault- detection/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

maximum likelihood estimation; program testing; queueing theory; software fault tolerance; software maintenance; software quality; stochastic processes; fault-correction model; fault-detection model; maximum likelihood estimation; queueing model; software fault correction profile; software maintainability; software reliability; software testing; stochastic model; Debugging; Fault detection; Maintenance engineering; Maximum likelihood estimation; Predictive models; Software maintenance; Software quality; Software reliability; Software testing; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Dependable Computing, 2007. PRDC 2007. 13th Pacific Rim International Symposium on

Conference_Location

Melbourne, Qld.

Print_ISBN

0-7695-3054-0

Type

conf

DOI

10.1109/PRDC.2007.46

Filename

4459636