Szerző: " Szőke Gábor"

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Találatok száma: 8.

Szőke Gábor; Antal Gábor; Nagy Csaba; Ferenc Rudolf; Gyimóthy Tibor: Empirical study on refactoring large-scale industrial systems and its effects on maintainability.
JOURNAL OF SYSTEMS AND SOFTWARE, 129. pp. 107-126. ISSN 0164-1212 (2017)

Szőke Gábor; Nagy Csaba; Ferenc Rudolf; Gyimóthy Tibor: Designing and Developing Automated Refactoring Transformations : An Experience Report.
In: 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER): Leaders of Tomorrow: Future of Software Engineering. IEEE Computer Society Press, pp. 693-697. (2016) ISBN 978-1-5090-1855-0

Ujhelyi Zoltán; Szőke Gábor; Horváth Ákos; Csiszár Norbert István; Vidács László; Varró Dániel; Ferenc Rudolf: Performance comparison of query-based techniques for anti-pattern detection.
Information and Software Technology, 65. 147 - 165. ISSN 0950-5849 (2015)

Szőke Gábor; Nagy Csaba; Hegedűs Péter; Ferenc Rudolf; Gyimóthy Tibor: Do Automatic Refactorings Improve Maintainability? An Industrial Case Study.
In: 2015 IEEE 31st International Conference on Software Maintenance and Evolution (ICSME). IEEE Computer Society, Passau, pp. 429-438. (2015) ISBN 978-1-4673-7531-3

Szőke Gábor; Nagy Csaba; Fülöp Lajos Jenő; Ferenc Rudolf; Gyimóthy Tibor: FaultBuster : An Automatic Code Smell Refactoring Toolset.
In: 2015 IEEE 15th International Working Conference on Source Code Analysis and Manipulation (SCAM). IEEE Computer Society, Passau, pp. 253-258. (2015) ISBN 978-1-4673-7528-3

Ujhelyi Zoltán; Horváth Ákos; Varró Dániel; Csiszár Norbert István; Szőke Gábor; Vidács László; Ferenc Rudolf: Anti-pattern detection with model queries: A comparison of approaches.
In: 2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE). IEEE Computer Society, Antwerp, pp. 293-302. (2014) ISBN 978-1-4799-3752-3

Szőke Gábor; Antal Gábor; Nagy Csaba; Ferenc Rudolf; Gyimóthy Tibor: Bulk Fixing Coding Issues and Its Effects on Software Quality : Is It Worth Refactoring?
In: 14th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2014). IEEE Computer Society Press, Los Alamitos, pp. 95-104. (2014) ISBN 978-0-7695-5304-7

Szőke Gábor; Nagy Csaba; Ferenc Rudolf; Gyimóthy Tibor: A case study of refactoring large-scale industrial systems to efficiently improve source code quality.
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 8583 (PART 5). pp. 524-540. ISSN 0302-9743 (2014)

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