Investigating code fault proneness using program slicing

使用程序切片调查代码错误倾向

• 批准号: EP/E056296/1
• 负责人: Sue Black
• 金额: $ 1.14万
• 依托单位: University of Westminster
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2008
• 资助国家: 英国
• 起止时间: 2008 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FE056296%2F1
• 关键词: Investigating; code; fault; proneness; using

This feasibility study explores the relationship between program slices and faults. The aim is to investigate whether the characteristics of program slices can be used to identify fault-prone code hotspots. Slicing metrics and dependence clusters are used to characterise the slices in a software component. The relationship between the characteristics of those slices in the component and the faults in that component are then analysed. Identifying fault-prone code is difficult and reliable predictors of fault-proneness are not widely reported in the literature. Program slicing is an established software engineering technique to support the detection and correction of known faults. Once a problem has emerged, slicing enables all statements that could have caused that problem to be identified and extracted. This extracted code makes the identification and removal of the fault much easier. We propose to investigate whether slicing could also be a good predictor of latent faults that have not yet caused a problem. The results of this study will show whether the use of program slicing can be extended as a reliable tool to predict fault-prone code. Our previous proof of concept study suggests that this investigation is viable and that slicing may offer valuable insights into fault-proneness.

本可行性研究探讨了程序切片和故障之间的关系。目的是研究程序切片的特征是否可以用于识别容易出错的代码热点。切片度量和依赖簇用于表征软件组件中的切片。然后分析组件中这些切片的特性与该组件中的故障之间的关系。识别容易出错的代码很困难，并且可靠的错误倾向预测器在文献中也没有广泛报道。程序切片是一种成熟的软件工程技术，用于支持已知故障的检测和纠正。一旦出现问题，切片就可以识别和提取所有可能导致该问题的语句。提取的代码使故障的识别和排除变得更加容易。我们建议研究切片是否也可以很好地预测尚未引起问题的潜在故障。这项研究的结果将表明程序切片的使用是否可以扩展为预测容易出错的代码的可靠工具。我们之前的概念验证研究表明，这项研究是可行的，并且切片可能为错误倾向提供有价值的见解。

项目成果

A Theoretical and Empirical Analysis of Three Slice-Based Metrics for Cohesion

• DOI: 10.1142/s0218194010004888
• 发表时间: 2010-08
• 期刊: Int. J. Softw. Eng. Knowl. Eng.
• 作者: S. Counsell;T. Hall;David Bowes