Export 39 results:Author Title Type [ Year]
Filters: Author is Péter Hegedűs [Clear All Filters]
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.. 2014.
Runtime Exception Detection in Java Programs Using Symbolic Execution. Acta Cybernetica. 21:331–352.. 2014.
Software Product Quality Models. Evolving Software Systems. :65–100.. 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.. 2015.
Code Ownership: Impact on Maintainability. Proceedings of the 15th International Conference on Computational Science and Its Applications (ICCSA 2015). 9159:3–19.. 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.. 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.. 2015.
Impact of Version History Metrics on Maintainability. Proceedings of the 8th International Conference on Advanced Software Engineering & Its Applications (ASEA 2015). :30–35.. 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.. 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.. 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.. 2016.
Empirical Evaluation of Software Maintainability Based on a Manually Validated Refactoring Dataset. Information and Software Technology. 95. 2018.