A methodology for controlling the size of a test suite
ACM Transactions on Software Engineering and Methodology (TOSEM)
TestTube: a system for selective regression testing
ICSE '94 Proceedings of the 16th international conference on Software engineering
Communications of the ACM
MINTS: A general framework and tool for supporting test-suite minimization
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
VIDA: Visual interactive debugging
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
A practical evaluation of spectrum-based fault localization
Journal of Systems and Software
Zoltar: A Toolset for Automatic Fault Localization
ASE '09 Proceedings of the 2009 IEEE/ACM International Conference on Automated Software Engineering
EZUNIT: a framework for associating failed unit tests with potential programming errors
XP'07 Proceedings of the 8th international conference on Agile processes in software engineering and extreme programming
Regression testing minimization, selection and prioritization: a survey
Software Testing, Verification & Reliability
On the empirical evaluation of fault localization techniques for spreadsheets
FASE'13 Proceedings of the 16th international conference on Fundamental Approaches to Software Engineering
MZoltar: automatic debugging of Android applications
Proceedings of the 2013 International Workshop on Software Development Lifecycle for Mobile
A dynamic code coverage approach to maximize fault localization efficiency
Journal of Systems and Software
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Testing and debugging is the most expensive, error-prone phase in the software development life cycle. Automated testing and diagnosis of software faults can drastically improve the efficiency of this phase, this way improving the overall quality of the software. In this paper we present a toolset for automatic testing and fault localization, dubbed GZoltar, which hosts techniques for (regression) test suite minimization and automatic fault diagnosis (namely, spectrum-based fault localization). The toolset provides the infrastructure to automatically instrument the source code of software programs to produce runtime data. Subsequently the data was analyzed to both minimize the test suite and return a ranked list of diagnosis candidates. The toolset is a plug-and-play plug-in for the Eclipse IDE to ease world-wide adoption.