Publications

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Journal Article
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.
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.
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.
Bán D, Ferenc R, Siket I, Kiss Á, Gyimóthy T.  2018.  Prediction Models for Performance, Power, and Energy Efficiency of Software Executed on Heterogeneous Hardware. Journal of Supercomputing. :25.
Merz C, Dörflinger J, Bilicki V, Fernández MV, Guzman JG, Horak P, Astorga J, Azanón E, Szűcs V.  2009.  Reference Architecture For Collaborative Working Environments In Rural Areas. eJOV. 11:35-63.
Jelasity M, Bilicki V.  2011.  Scalable Stealth Mode P2P Overlays of Very Small Constant Degree. ACM Transactions on Autonomous and Adaptive Systems. 6:1-27.
Bacsó G., Kis T., Visegrádi Á., Kertész Attila, Nemeth Z..  2016.  A Set of Successive Job Allocation Models in Distributed Computing Infrastructures. Journal of Grid Computing. 14:347-358.
van den Brand MGJ, Canfora G, Gyimóthy T.  2004.  Seventh European Conference on Software Maintenance and Reengineering (CSMR 2003). Journal of Software Maintenance and Evolution: Research and Practice. 16:217–218.
Fidrich M, Bilicki V, Sógor Z, Sey G.  2003.  SIP compression. Periodica Polytechnica-Electrical Engineering. 47:1-2.
Szabó Z, Bilicki V, Berta Á, Jánki ZRichárd.  2018.  Smartphone-based data collection with stunner, the reality of peer-to-peer connectivity and web real-time communications using crowdsourcing: lessons learnt while cleaning the data. International Journal On Advances in Software. 11(1-2):120-130.
Szabó Z, Bilicki V, Berta Á, Jánki ZRichárd.  2018.  Smartphone-based data collection with stunner, the reality of peer-to-peer connectivity and web real-time communications using crowdsourcing: lessons learnt while cleaning the data. International Journal On Advances in Software. 11(1-2):120-130.