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دانلود رایکان مقاله انگلیسی ISI با موضوع پیش بینی نقص های نرم افزاری با آزمون های علیت

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پیش بینی نقص های نرم افزاری با آزمون های علیت

عنوان انگلیسی مقاله:

Predicting software defects with causality tests

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4. Dataset

The evaluation reported on this paper is based on a dataset made public by D’Ambros et al.to evaluate defect prediction techniques (D’Ambros et al., 2010, 2012). This datasetincludes temporal series for seventeen source code metrics, including number of lines of code (LOC) and the CK (Chidamber and Kemerer) metrics suite (Chidamber and Kemerer, 1994). The metrics were extracted in intervals of bi-weeks for four well-known Java-based systems: Eclipse JDT Core, Eclipse PDE UI, Equinox Framework, and Lucene. Table 1 provides detailed information on this original dataset. In this table, column Period informs the time interval in which the metrics were collected by D’Ambros et al. In total, the dataset has We extended this dataset as described next: (a) by considering more versions and classes and (b) by creating a time series of defects. Table 2 provides detailed information on our extended dataset. As can observed, our extension has approximately twice the number of versions (723 versions) and 45% more classes (6223 classes). Basically, we extended the original dataset to consider—whenever possible—the whole evolution history of the considered systems, starting from the first version available in their version repositories.