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Bug Prediction Using Data Mining of Test Result History
Matys, Filip ; Vojnar, Tomáš (referee) ; Šimková, Hana (advisor)
Software projects go through a phase of maintenance and, in case of open source projects, through hard development process. Both of these phases are prone to regressions, meaning previously working parts of system do not work anymore. To avoid this behavior, systems are being tested with long test suites, which can be sometimes time consuming. For this reason, prediction models are developed to predict software regressions using historical testing data and code changes, to detect changes that can most likely cause regression and focus testing on such parts of code. But, these predictors rely on static code analysis without deeper semantic understanding of the code. Purpose of this master thesis is to create predictor, that relies not only on static code analysis, but provides decisions based on code semantics as well.
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Bug Prediction Using Data Mining of Test Result History
Matys, Filip ; Vojnar, Tomáš (referee) ; Šimková, Hana (advisor)
Software projects go through a phase of maintenance and, in case of open source projects, through hard development process. Both of these phases are prone to regressions, meaning previously working parts of system do not work anymore. To avoid this behavior, systems are being tested with long test suites, which can be sometimes time consuming. For this reason, prediction models are developed to predict software regressions using historical testing data and code changes, to detect changes that can most likely cause regression and focus testing on such parts of code. But, these predictors rely on static code analysis without deeper semantic understanding of the code. Purpose of this master thesis is to create predictor, that relies not only on static code analysis, but provides decisions based on code semantics as well.
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Web Tool for Management of Long-Term Testing Results
Matys, Filip ; Smrčka, Aleš (referee) ; Müller, Petr (advisor)
Many software projects go through a long evolution, which results in creation of extensive test suites to automate testing process. These test suites often do not pass whole, so it is needed to collect their results and then analyse them, how did the test suite behave before. Within this thesis, a web tool was implemented, which allows to process results of test suites that are afterwards set in the context of development and allows their analysis. Thanks to it's modularity, the tool is not dependent on results format. The tool uses modern frameworks, such as AngularJS and Foundation, to aim at lower system latency and to adapt it to screens of mobile devices. To demonstrate the tool, three plug-ins were implemented for different formats of test suite results. The tool was deployed on the OpenShift service. There were imported data from SystemTap and glibc testsuite result sets and benefits of the tools were presented in two case studies.
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