Export 625 results:
Author Title Type [ Year(Desc)]
Hodován R, Kiss Á, Gyimóthy T.  2017.  Coarse Hierarchical Delta Debugging. Proceedings of the 33rd IEEE International Conference on Software Maintenance and Evolution (ICSME 2017). :194–203.
Horváth F, Gergely Tamás, Beszédes Á, Tengeri D, Balogh G, Gyimóthy T.  2017.  Code Coverage Differences of Java Bytecode and Source Code Instrumentation Tools. Software Quality Journal.
Markus A., Kertész Attila, Kecskemeti G.  2017.  Cost-aware IoT extension of DISSECT-CF. Future Internet. vol. 9
Kimovski D., Marosi A., Gec S., Saurabh N., Kertész Attila, Kecskemeti G, Stankovski V., Prodan R..  2017.  Distributed environment for efficient virtual machine image management in federated Cloud architectures. Concurrency Computation.
Szőke G, Antal G, Nagy C, Ferenc R, Gyimóthy T.  2017.  Empirical Study on Refactoring Large-scale Industrial Systems and Its Effects on Maintainability. Journal of Systems and Software. 129:107–126.
Markus A., Kecskemeti G, Kertész Attila.  2017.  Flexible Representation of IoT Sensors for Cloud Simulators. Proceedings - 2017 25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2017. :199-203.
Kicsi A, Vidács L, Beszédes Á, Kocsis F, Kovács I.  2017.  Information retrieval based feature analysis for product line adoption in 4GL systems. Proceedings of the 17th International Conference on Computational Science and Its Applications (ICCSA'17). :1-6.
Faragó C.  2017.  Maintainability of Source Code and its Connection to Version Control History Metrics.
Nagy S, Gyimothy T, Jelasity M, Bilicki V, Végh Á.  2017.  A method for tracking of motion of objects associated with wireless communication devices within a predefined area.
Nagy S, Gyimothy T, Jelasity M, Bilicki V, Végh Á.  2017.  Method for tracking of motion of objects associated with wireless communication devices within a predefined area.
Markus A., Kertész Attila.  2017.  Simulating IoT Cloud systems: A meteorological case study. 2017 2nd International Conference on Fog and Mobile Edge Computing, FMEC 2017. :171-176.
Szabó Z, Bilicki V, Berta Á, Jánki ZRichárd.  2017.  Smartphone-based Data Collection with Stunner Using Crowdsourcing: Lessons Learnt while Cleaning the Data. IARIA Conference. Best paper award. Twelfth International Multi-Conference on Computing in the Global Information Technology (ICCGI 2017). :28-35.
Kecskemeti G, Kertész Attila, Marosi A.C..  2017.  Towards a methodology to form microservices from monolithic ones. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10104 LNCS:284-295.
Hodován R, Kiss Á, Gyimóthy T.  2017.  Tree Preprocessing and Test Outcome Caching for Efficient Hierarchical Delta Debugging. Proceedings of the 12th IEEE/ACM International Workshop on Automation of Software Testing (AST 2017). :23–29.
Kalmar E.E., Kertész Attila.  2017.  What does I(o)T cost? ICPE 2017 - Companion of the 2017 ACM/SPEC International Conference on Performance Engineering. :19-24.
Bánhalmi A, Borbás J, Fidrich M, Bilicki V, Gingl Z, Rudas L.  2018.  Analysis of a Pulse Rate Variability Measurement Using a Smartphone Camera. Journal of Healthcare Engineering. vol. 2018:15pages.
Gergely T, Balogh G, Horváth F, la Vancsics B, Beszédes Á, Gyimóthy T.  2018.  Analysis of Static and Dynamic Test-to-code Traceability Information. Acta Cybernetica. 23:903-919.
Pflanzner T, Kertész A.  2018.  Analyzing IoT, fog and cloud environments using real sensor data. Fog Computing: Concepts, Frameworks and Technologies. :83-105.
Vidács L, Pinzger M.  2018.  Co-evolution Analysis of Production and Test Code by Learning Association Rules of Changes. 2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2018). :1-7.
Kecskeméti G, Markus A, Kertész Attila.  2018.  Cost-efficient datacentre consolidation for cloud federations. 8th International Conference on Cloud Computing and Services Science. :213-220.
Szalma J, Bánhalmi A, Bilicki V.  2018.  Detection of Respiratory Effort-Related Arousals Using a Hidden Markov Model and Random Decision Forest. 2018 Computing in Cardiology Conference (CinC).
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.
Markus A, Marques A, Kecskeméti G, Kertész A.  2018.  Efficient simulation of IoT cloud use cases. Autonomous Control for a Reliable Internet of Services. Lecture Notes in Computer Science 10768:313-336.
Hegedűs P, Kádár I, Ferenc R, Gyimóthy T.  2018.  Empirical Evaluation of Software Maintainability Based on a Manually Validated Refactoring Dataset. Information and Software Technology. 95
Kicsi A, Tóth L, Vidács L.  2018.  Exploring the Benefits of Utilizing Conceptual Information in Test-to-Code Traceability. Proceedings of the IEEE/ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2018 @ ICSE).