STRAIT: A Tool for Automated Software Reliability Growth Analysis

Reliability is an essential attribute of mission-and safety-critical systems. Software Reliability Growth Models (SRGMs) are regression-based models that use historical failure data to predict the reliability-related parameters. At the moment, there is no dedicated tool available that would be able to cover the whole process of SRGMs data preparation and application from issue repositories, discouraging replications and reuse in other projects. In this paper, we introduce STRAIT, a free and open-source tool for automatic software reliability growth analysis which utilizes data from issue repositories. STRAIT features downloading, filtering and processing of data from provided issue repositories for use in multiple SRGMs, suggesting the best fitting SRGM with multiple data snapshots to consider software evolution. The tool is designed to be highly extensible, in terms of additional issue repositories, SRGMs, and new data filtering and processing options. Quality engineers can use STRAIT for the evaluation of their software systems. The research community can use STRAIT for empirical studies which involve evaluation of new SRGMs or comparison of multiple SRGMs.

I. Introduction

Various critical infrastructures, such as power grids, telecommunication, transportation or financial services are controlled by software systems. For such systems, reliability is an essential qualitative attribute. Software Reliability Growth Models (SRGMs) are one of the most well-established approaches for software reliability analysis [1]–[3].