Publications
QualityGate SourceAudit: a Tool for Assessing the Technical Quality of Software. Proceedings of the 2014 Software Evolution Week (Merger of the 18th IEEE European Conference on Software Maintenance and Reengineering & 21st IEEE Working Conference on Reverse Engineering – CSMR-WCRE 2014). :440–445.
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2014. Runtime Exception Detection in Java Programs Using Symbolic Execution. Acta Cybernetica. 21:331–352.
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2014. Software Product Quality Models. Evolving Software Systems. :65–100.
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2014. Adding Constraint Building Mechanisms to a Symbolic Execution Engine Developed for Detecting Runtime Errors. Proceedings of the 15th International Conference on Computational Science and Its Applications (ICCSA 2015). 9159:20–35.
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2015. .
2015. Code Ownership: Impact on Maintainability. Proceedings of the 15th International Conference on Computational Science and Its Applications (ICCSA 2015). 9159:3–19.
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2015. Cumulative Code Churn: Impact on Maintainability. Proceedings of the 15th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2015). :141–150.
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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. Impact of Version History Metrics on Maintainability. Proceedings of the 8th International Conference on Advanced Software Engineering & Its Applications (ASEA 2015). :30–35.
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2015. 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. 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. Empirical Evaluation of Software Maintainability Based on a Manually Validated Refactoring Dataset. Information and Software Technology. 95
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2018. Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions. 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. :8-14.
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2019.