A latent‐factor self‐exciting point process for software failures

Atilla Ay, Joshua Landon, F. Ruggeri, R. Soyer
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Abstract

Software debugging is the process of detecting and removing bugs during software development. Although the intent of modifications to the software is to remove bugs, one cannot rule out the possibility of introducing new bugs as a result of these modifications. We consider a self‐exciting point process, which can incorporate the case of reliability deterioration due to the potential introduction of new bugs to the software during the development phase. In order to account for the unobservable process of introducing bugs, latent variables are incorporated into the self‐exciting point process models. The models are then applied to two data sets in software reliability and additional insights that can be obtained from these models are discussed. Our results suggest that the self‐exciting processes with latent factors perform better than the standard point process models in describing the behavior of software failures during the debugging process.
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软件故障的潜在因素自激点过程
软件调试是在软件开发过程中检测和消除错误的过程。虽然修改软件的目的是为了消除错误,但不能排除由于这些修改而引入新错误的可能性。我们考虑一个自激点过程,它可以包含由于在开发阶段可能引入新错误而导致可靠性下降的情况。为了解释引入错误的不可观察过程,将潜在变量纳入自激点过程模型。然后将这些模型应用于软件可靠性中的两个数据集,并讨论了可以从这些模型中获得的其他见解。结果表明,具有潜在因素的自激过程比标准点过程模型更能描述调试过程中软件故障的行为。
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