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Threats to validity in search-based predictive modelling for software engineering

机译：基于搜索的软件工程预测模型中有效性的威胁

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摘要

A number of studies in the literature have developed effective models to address prediction tasks related to a software product such as estimating its development effort, or its change/defect proneness. These predictions are critical as they help in identifying weak areas of a software product and thus guide software project managers in effective allocation of project resources to these weak parts. Such practices assure good quality software products. Recently, the use of search-based approaches (SBAs) for developing software prediction models (SPMs) has been successfully explored by a number of researchers. However, in order to develop effective and practical SPMs it is imperative to analyse various sources of threats. This study extensively reviews 93 primary studies, which use SBAs for developing SPMs of four commonly used software attributes (effort, defect-proneness, maintainability and change-proneness) in order to discuss and identify the various sources of threats while using these approaches for SPMs. The study also lists various actions that may be taken in order to minimise these threats. Furthermore, best practice examples in literature and the year-wise trends of threats indicating the most common threats missed by researchers are provided to help academicians and practitioners in designing effective studies for developing SPMs using SBAs.
机译：文献中的许多研究已经开发出有效的模型来解决与软件产品有关的预测任务，例如估计其开发工作量或更改/缺陷倾向。这些预测至关重要，因为它们有助于识别软件产品的薄弱环节，从而指导软件项目经理有效地将项目资源分配给这些薄弱环节。这样的做法确保了高质量的软件产品。最近，许多研究人员已成功地探索了将基于搜索的方法（SBA）用于开发软件预测模型（SPM）。但是，为了制定有效且实用的SPM，必须分析各种威胁源。这项研究广泛回顾了93项主要研究，这些研究使用SBA来开发具有四个常用软件属性（工作量，缺陷倾向性，可维护性和变更倾向性）的SPM，以便在使用这些方法进行SPM讨论和识别威胁的各种来源。该研究还列出了可以采取的各种措施，以最大程度地减少这些威胁。此外，还提供了文献中的最佳实践实例以及表明研究人员错过的最常见威胁的威胁的逐年趋势，以帮助院士和从业人员设计有效的研究，以使用SBA开发SPM。

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