PISRAT: Proportional Intensity-Based Software Reliability Assessment Tool

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 timedependent testing metrics.

Generalized Cox Proportional Hazards Regression-Based Software Reliability Modeling with Metrics Data

“…Basic SRMs [26] Suppose that l (≥ 1) kinds of software-test metrics data x i = (x i0 , x i1 , · · · , x il ) with x i0 = 1 are available at ith testing time (i = 1, 2, · · · , n), where each metric is a function of time i and is called the time-dependent covariate. Let β = (β 0 , β 1 , · · · , β l ) be the regression coefficient vector.…”

“…Evanco [8] uses an exponential regression model to represent the Poisson intensity function and derives a different multifactor SRM from the Cox proportional hazards regression-based approach. Ray et al [22], Rinsaka et al [23], Shibata et al [26] develop novel approaches to handle both software fault count data and software test metrics data in the NHPP-based modeling framework, by means of the proportional intensity model. Their modeling approach is interesting, but does not unify the existing SRMs in the literature [17], [18].…”

A Comprehensive Analysis of Proportional Intensity-Based Software Reliability Models with Covariates

“…As an extension of the common NHPP-based SRMs, this paper summarize the so-called proportional intensity-based software reliability models (PI-SRMs) by Rinsaka et al [13], and describe the probabilistic behavior of the software fault-detection process by incorporating the time-dependent software metrics data observed in the development process. In the subsequent paper, Shibata et al [14] develop a software reliability assessment tool, PI-SRAT, to automate the parameter estimation and quantify the software reliability. Specifically, we generalize the seminal PI-SRM in [13] by introducing several well-known fault-detection time distributions because the work in [13] limited a few kinds of software fault-detection time distributions.…”