Publications

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Journal Article
Gergely T, Balogh G, Horváth F, la Vancsics B, Beszédes Á, Gyimóthy T.  2019.  Differences between a static and a dynamic test-to-code traceability recovery method. SOFTWARE QUALITY JOURNAL. 27:797-822.
Gergely Tamás, Balogh G, Horváth F, Vancsics B, Beszédes Á, Gyimothy T.  2018.  Differences Between a Static and a Dynamic Test-to-Code Traceability Recovery Method. Software Quality Journal. 27(2):797-822.
Csoma C.A, Bilicki V, Davies A, Kovács E, Uhlir P.  2011.  Dilemmák és megoldások élőlaboros kísérletek tervezésénél. IME : Informatika és menedzsment az egészségügyben. X:39-43.
Bilicki V.  2012.  Döntéstámogatás a telemedicinában.
Hegedűs P, Bakota Tibor, Ladányi G, Faragó C, Ferenc R.  2013.  A Drill-Down Approach for Measuring Maintainability at Source Code Element Level. ELECTRONIC COMMUNICATIONS OF THE EASST. 60:20–29.
Hegedűs P, Bakota Tibor, Ladányi G, Faragó C, Ferenc R.  2013.  A Drill-Down Approach for Measuring Maintainability at Source Code Element Level. Electronic Communications of the {EASST}. 60:1–21.
Bacsó G., Visegrádi Á., Kertész Attila, Nemeth Z..  2014.  On Efficiency of Multi-job Grid Allocation Based on Statistical Trace Data. Journal of Grid Computing. 12:169-186.
Gyimóthy T, Beszédes Á, Forgács I.  1999.  An efficient relevant slicing method for debugging. SIGSOFT Softw. Eng. Notes. 24:303–321.
Beszédes Á, Schrettner L, la Csaba B, Gergely Tamás, Jász Judit, Gyimóthy T.  2015.  Empirical Investigation of SEA-Based Dependence Cluster Properties. Science of Computer Programming. 105:3-25.
Blázsik Z, Holló C., Imreh B.  1998.  Explicit bounds for the number of feasible solutions of special PNS-problem classes. Pure Mathematics and Applications. 9:17-27.
Kicsi A, Csuvik V, Vidács L, Horváth F, Beszédes Á, Gyimothy T, Kocsis F.  2019.  Feature Analysis using Information Retrieval, Community Detection and Structural Analysis Methods in Product Line Adoption. Journal of Systems and Software. 155:70-90.
Baniata H, Kertész A.  2021.  FoBSim: an extensible open-source simulation tool for integrated fog-blockchain systems. PeerJ Computer Science. vol 7
Binkley D, Danicic S, Gyimóthy T, Harman M, Kiss Á, Korel B.  2006.  A Formalisation of the Relationship between Forms of Program Slicing. Science of Computer Programming. 62:228–252.
Beszédes Á.  2015.  Global Dynamic Slicing for the C Language. Acta Polytechnica Hungarica. 12:117-136.
Baniata H., Sharieh A., Mahmood S., Kertesz A..  2020.  Graft: A model for evaluating actuator systems in terms of force production. Sensors (Switzerland). 20
Bilicki V, Kasza M, Szűcs V, Molnár G.  2009.  Homokháti Small Area Living Lab Benefiting The Agricultural Sector In Hungary. eJOV. 11:83-100.
Schrettner L, Jász Judit, Gergely Tamás, Beszédes Á, Gyimóthy T.  2014.  Impact Analysis in the Presence of Dependence Clusters Using Static Execute After in WebKit. Journal of Software: Evolution and Process. 26:569-588.
Alexin Z, Gyimóthy T, Boström H.  1997.  IMPUT: An Interactive Learning Tool Based on Program Specialization. Intelligent Data Analysis. 1:219–244.
Kertész Attila, Kecskemeti G, Brandic I..  2014.  An interoperable and self-adaptive approach for SLA-based service virtualization in heterogeneous Cloud environments. Future Generation Computer Systems. 32:54-68.
Bilicki V, Végh ÁZ, Szűcs V.  2011.  Klinikai döntéstámogató rendszerek és a Telemedicina. IME : Informatika és menedzsment az egészségügyben. X:50-54.
Holló C., Blázsik Z, Imreh C., Kovács Z.  1999.  On a Merging Reduction of the Process Network Synthesis Problem. Acta Cybernetica. 14:251-261.
Bilicki V.  2012.  Mobil telefon alapú személyi egyszségtár egy K+F projektben.
Hegedűs P, Bán D, Ferenc R, Gyimóthy T.  2012.  Myth or Reality? Analyzing the Effect of Design Patterns on Software Maintainability Communications in Computer and Information Science. 340:138–145.
Baniata H, Kertész A.  2024.  Partial Pre-Image Attack on Proof-of-Work based Blockchains. Blockchain: Research and Applications.
Kertész Attila, Dombi JD, Benyi A..  2016.  A Pliant-based Virtual Machine Scheduling Solution to Improve the Energy Efficiency of IaaS Clouds. Journal of Grid Computing. 14:41-53.