Publications
Test Suite Reduction for Fault Detection and Localization: A Combined Approach. Proceedings of the CSMR-WCRE 2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE'14). :204-213.
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2014. Toolset and Program Repository for Code Coverage-Based Test Suite Analysis and Manipulation. Proceedings of the 14th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM'14). :47-52.
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2014. Beyond Code Coverage - an Approach for Test Suite Assessment and Improvement. Proceedings of the 8th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW'15); 10th Testing: Academic and Industrial Conference - Practice and Research Techniques (TAIC PART'15). :1-7.
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2015. Do Automatic Refactorings Improve Maintainability? An Industrial Case Study Proceedings of the 31st International Conference on Software Maintenance and Evolution (ICSME 2015). :429–438.
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2015. Empirical Investigation of SEA-Based Dependence Cluster Properties. Science of Computer Programming. 105:3-25.
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2015. FaultBuster: An Automatic Code Smell Refactoring Toolset. Proceedings of the 15th International Working Conference on Source Code Analysis and Manipulation (SCAM 2015). :253–258.
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2015. Identifying Wasted Effort in the Field via Developer Interaction Data. Proceedings of the 31th IEEE International Conference on Software Maintenance and Evolution (ICSME'15), Industry Track. :391-400.
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2015. Test Suite Evaluation using Code Coverage Based Metrics. Proceedings of the 14th Symposium on Programming Languages and Software Tools (SPLST'15). :46-60.
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2015. Are My Unit Tests in the Right Package? Proceedings of 16th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM'16). :137-146.
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2016. Assessment of the Code Refactoring Dataset Regarding the Maintainability of Methods. Proceedings of the 16th International Conference on Computational Science and Its Applications (ICCSA 2016). :610–624.
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2016. A Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. Proceedings of the 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016). :599–603.
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2016. Designing and Developing Automated Refactoring Transformations: An Experience Report. Proceedings of the 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016). :693–697.
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2016. A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability. Proceedings of the 12th ACM International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2016). :10:1–10:4.
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2016. Negative Effects of Bytecode Instrumentation on Java Source Code Coverage. Proceedings of the IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER'16). :225-235.
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2016. Relating Code Coverage, Mutation Score and Test Suite Reducibility to Defect Density. Proceedings of the 2016 IEEE International Conference on Software Testing, Verification and Validation Workshops: 11th International Workshop on Mutation Analysis (MUTATION'16). :174-179.
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2016. Using the City Metaphor for Visualizing Test-Related Metrics. Proceedings of the IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering, the First International Workshop on Validating Software Tests (VST'16). :17-20.
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2016. Coarse Hierarchical Delta Debugging. Proceedings of the 33rd IEEE International Conference on Software Maintenance and Evolution (ICSME 2017). :194–203.
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2017. Code Coverage Differences of Java Bytecode and Source Code Instrumentation Tools. Software Quality Journal.
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2017. Empirical Study on Refactoring Large-scale Industrial Systems and Its Effects on Maintainability. Journal of Systems and Software. 129:107–126.
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2017. Tree Preprocessing and Test Outcome Caching for Efficient Hierarchical Delta Debugging. Proceedings of the 12th IEEE/ACM International Workshop on Automation of Software Testing (AST 2017). :23–29.
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2017. Analysis of Static and Dynamic Test-to-code Traceability Information. Acta Cybernetica. 23:903-919.
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2018. Differences Between a Static and a Dynamic Test-to-Code Traceability Recovery Method. Software Quality Journal. 27(2):797-822.
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2018. Empirical Evaluation of Software Maintainability Based on a Manually Validated Refactoring Dataset. Information and Software Technology. 95
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