Title :
PISRAT: Proportional Intensity-Based Software Reliability Assessment Tool
Author :
Shibata, Kazuya ; Rinsaka, Koichiro ; Dohi, Tadashi
Author_Institution :
Hiroshima Univ., Hiroshima
Abstract :
In this paper we develop a software reliability assessment tool, called PISRAT: Proportional intensity-based software reliability assessment tool, by using several testing metrics data as well as software fault data observed in the testing phase. The fundamental idea is to use the proportional intensity-based software reliability models proposed by the same authors. PISRAT is written in Java language with 54 classes and 8.0 KLOC, where JDK1.5.0_9 and JFreeChart are used as the development kit and the chart library, respectively. This tool can support (i) the parameter estimation of software reliability models via the method of maximum likelihood, (ii) the goodness-of-fit test under several optimization criteria, (iii) the assessment of quantitative software reliability and prediction performance. To our best knowledge, PISRAT is the first freeware for dynamic software reliability modeling and measurement with time- dependent testing metrics.
Keywords :
Java; maximum likelihood estimation; program testing; public domain software; software metrics; software reliability; software tools; JDK1.5.0_9; JFreeChart; Java classes; Java language; KLOC; chart library; development kit; dynamic software reliability measurement; dynamic software reliability modeling; freeware; maximum likelihood; parameter estimation; proportional intensity-based software reliability assessment tool; quantitative software reliability; software fault data testing metrics; software reliability models; time-dependent testing metrics; Java; Maximum likelihood estimation; Optimization methods; Parameter estimation; Predictive models; Software libraries; Software measurement; Software reliability; Software testing; Software tools;
Conference_Titel :
Dependable Computing, 2007. PRDC 2007. 13th Pacific Rim International Symposium on
Conference_Location :
Melbourne, Qld.
Print_ISBN :
0-7695-3054-0
DOI :
10.1109/PRDC.2007.18