海峡:自动化软件可靠性增长分析工具

Stanislav Chren, Radoslav Micko, Barbora Buhnova, B. Rossi
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引用次数: 2

摘要

可靠性是任务和安全关键系统的基本属性。软件可靠性增长模型(SRGMs)是一种基于回归的模型,它使用历史故障数据来预测与可靠性相关的参数。目前,还没有专门的工具能够涵盖srgm数据准备和从问题存储库应用的整个过程,这阻碍了在其他项目中的复制和重用。在本文中,我们介绍了STRAIT,这是一个免费的开源工具,用于自动软件可靠性增长分析,它利用来自问题存储库的数据。STRAIT支持从提供的问题存储库中下载、过滤和处理数据,以便在多个SRGM中使用,这表明SRGM与多个数据快照最适合,以考虑软件进化。在附加问题存储库、srgm以及新的数据过滤和处理选项方面,该工具被设计为具有高度可扩展性。质量工程师可以使用STRAIT来评估他们的软件系统。研究界可以使用STRAIT进行实证研究,包括评估新的SRGMs或比较多个SRGMs。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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