2013
DOI: 10.1007/978-3-642-39742-4_25
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eCrash: An Empirical Study on the Apache Ant Project

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Cited by 5 publications
(2 citation statements)
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“…In order to compare results from different testing tools, other experimental phases will be conducted, and the test data generated by eCrash [17] and Randoop [18] are going to be compared to the data previously collected and, whenever possible, to the manual test suite provided in each distribution. Experiments were already conducted with the purpose of understanding how these three automated tools behave when generating test data for the same software product [19].…”
Section: B Methodological Approachmentioning
confidence: 99%
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“…In order to compare results from different testing tools, other experimental phases will be conducted, and the test data generated by eCrash [17] and Randoop [18] are going to be compared to the data previously collected and, whenever possible, to the manual test suite provided in each distribution. Experiments were already conducted with the purpose of understanding how these three automated tools behave when generating test data for the same software product [19].…”
Section: B Methodological Approachmentioning
confidence: 99%
“…The instruments utilised include: Evosuite -a code-based automated testing tool that was responsible for generating the test data; and CKJM tool [20] -an open source tool for collecting the static metrics from the source code. Evosuite was the selected testing tool for our initial experiments due to the satisfactory results achieved while generating test data for several projects [19], [21], [22]. The CKJM tool was selected because it has been used to support research related to software quality, namely: it was originally developed by Diomidis Spinellis to support his work on the evaluation of the quality of open source systems [23]; and it is used by other quality-related projects (for instance, it is part of the Isotrol Metric Analytics plugin for the Sonar open source quality management platform 3 ).…”
Section: A Experiments Setup and Data Generation Processmentioning
confidence: 99%