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Testing coverage based reliability modeling for multi-release open-source software incorporating fault reduction factor

机译：基于测试覆盖率的可靠性建模multi-release开源软件将减少故障因素

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摘要

Testing represents an important and necessary phase in the development process of a software that provides a reliable and efficient software product. To enhance software reliability, fault detection and correction are carried out during this process. In order to develop highly reliable software system software reliability growth models (SRGMs) are observed to be the most effective way. These SRGMs have been developed under a set of assumptions, there are many real-life factors that control the reliability of the software system during the testing process. In that context Fault Reduction Factor (FRF) and testing coverage are the most important key factors. In our proposed study we have developed SRGMs based on these environmental factors. We have also discussed the concept of multi releases of an Open-Source Software (OSS) project as a single release of the product may not meet the ever-increasing requirements of a competitive market. Therefore, this paper talks about the impact of different parameters such as FRF and testing coverage on the reliability of the different releases of an OSS. The mathematical expression based on these assumptions is provided by two models. These models assume the FRF as constant and testing coverage is assumed to have Weibull and Exponentiated Weibull distribution functions. The proposed models are then validated on real-life faults datasets and their performance is measured on the basis of different criteria of the goodness of fit.
机译：测试是一个重要的和必要的阶段在软件的开发过程提供一个可靠、高效的软件产品。检测和校正期间进行这一过程。软件系统软件可靠性增长模型(SRGMs)被观察到有效的方法。在一系列假设条件下,有很多现实因素控制的可靠性软件系统在测试过程中。在这种情况下(降维)和减少故障因素测试覆盖率是最重要的关键的因素。SRGMs基于这些环境因素。还讨论了多版本的概念吗开源软件(OSS)的项目单一产品的版本可能不符合竞争的不断增长的需求市场。不同的参数如频响和的影响测试覆盖率的可靠性不同版本的操作系统。基于这些假设提供表达通过两个模型。假定常数和测试覆盖率威布尔和取幂威布尔分布功能。在真实数据集和他们的错误性能测量的基础上不同拟合优度的标准。

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