@conference {GBS16,
	title = {Enforcing Techniques and Transformation of {C/C++} Source Code to Heterogeneous Hardware},
	booktitle = {Proceedings of the 16th IEEE International Conference on Scalable Computing and Communication (ScalCom 2016)},
	year = {2016},
	month = {jul},
	pages = {1173{\textendash}1180},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Toulouse, France},
	abstract = {Besides well-known CPU based architectures, the so-called accelerators (GPU, DSP, FPGA) are about to gain ground in everyday programming, computing tasks. However, programming such computation units is quite different from traditional programming for CPUs, and special skills are required from the developers. In this paper we present techniques, tooling support for the developers in the first step of re-engineering for parallelism in heterogeneous parallel platforms, namely to assure that the code to be offloaded to an accelerator conforms to its specific requirements by identifying the possible violations in the source code, and also by providing automatic code transformations for their elimination.},
	keywords = {C/C++, Cevelop, code transformation, Eclipse CDT, heterogeneous hardware, REPARA, Static Analysis},
	doi = {10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0180},
	url = {http://ieeexplore.ieee.org/document/7816976/},
	author = {Gyimesi, G{\'a}bor and D{\'e}nes B{\'a}n and Istv{\'a}n Siket and Rudolf Ferenc and Brugnoni, Silvano and Corbat, Thomas and Sommerlad, Peter and Suter, Toni}
}
@conference {AHS16,
	title = {Transforming {C++11} Code to {C++03} to Support Legacy Compilation Environments},
	booktitle = {Proceedings of 16th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM{\textquoteright}16)},
	year = {2016},
	pages = {177-186},
	author = {Antal, G{\'a}bor and Havas, D{\'a}vid and Istv{\'a}n Siket and {\'A}rp{\'a}d Besz{\'e}des and Rudolf Ferenc and Mihalicza, J{\'o}zsef}
}
@conference {BFS15,
	title = {Prediction Models for Performance, Power, and Energy Efficiency of Software Executed on Heterogeneous Hardware},
	booktitle = {Proceedings of the 13th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2015)},
	year = {2015},
	month = {aug},
	pages = {178{\textendash}183},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Helsinki, Finland},
	abstract = {Heterogeneous environments are becoming commonplace so it is increasingly important to understand how and where we could execute a given algorithm the most efficiently. In this paper we propose a methodology that uses both static source code metrics and dynamic execution time, power and energy measurements to build configuration prediction models. These models are trained on special benchmarks that have both sequential and parallel implementations and can be executed on various computing elements, e.g., on CPUs or GPUs. After they are built, however, they can be applied to a new system using only the system{\textquoteright}s static metrics which are much more easily computable than any dynamic measurement. We found that we could predict the optimal execution configuration fairly accurately using static information alone.},
	keywords = {configuration selection, Green computing, heterogeneous architecture, performance optimization, power-aware execution},
	doi = {10.1109/Trustcom.2015.629},
	url = {http://ieeexplore.ieee.org/document/7345645/},
	author = {D{\'e}nes B{\'a}n and Rudolf Ferenc and Istv{\'a}n Siket and {\'A}kos Kiss}
}
@conference {LHF14,
	title = {The Connection of the Bug Density and Maintainability of Classes},
	booktitle = {8th International Workshop on Software Quality and Maintainability},
	series = {SQM},
	year = {2014},
	note = {Presentation only},
	month = {feb},
	address = {Antwerp, Belgium},
	abstract = {Measuring software product maintainability is a central issue in software engineering which led to a number of different practical quality models. Besides system level assessments it is also desirable that these models provide technical quality information at source code element level (e.g. classes, methods) to aid the improvement of the software. Although many existing models give an ordered list of source code elements that should be improved, it is unclear how these improvements affect other important quality indicators of the system, e.g. bug density. In this paper we empirically investigate the connection of bug numbers in the classes of different open-source systems and the class level maintainability measures of our ColumbusQM probabilistic quality model using open-access bug datasets. We show that classes with lower maintainability score contain significantly more bugs than more maintainable classes. Moreover, in terms of correctness and completeness, ColumbusQM competes with statistical and machine learning prediction models especially trained on the bug data using product metrics as predictors. This is a great achievement in the light of that our model needs no training and its purpose is different (e.g. to estimate testability, or development costs) than those of the bug prediction models. In summary, we show that improving the maintainability of a software according to the suggestions of our quality model will expectedly also reduce its bug density.},
	keywords = {Bug density, Bug prediction, Class level maintainability, ColumbusQM, ISO/IEC 25010, Software maintainability},
	author = {Lad{\'a}nyi, Gergely and P Heged{\H u}s and Rudolf Ferenc and Istv{\'a}n Siket and Tibor Gyim{\'o}thy}
}
@booklet {TR2014001,
	title = {Differences in the Definition and Calculation of the {LOC} Metric in Free Tools},
	number = {TR-2014-001" institution = "University of Szeged, Department of Software Engineering},
	year = {2014},
	type = {Technical Report},
	url = {http://www.inf.u-szeged.hu/~beszedes/research/SED-TR2014-001-LOC.pdf},
	author = {Istv{\'a}n Siket and {\'A}rp{\'a}d Besz{\'e}des and Taylor, John}
}
@conference {BHS14,
	title = {{QualityGate SourceAudit}: a Tool for Assessing the Technical Quality of Software},
	booktitle = {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 {\textendash} CSMR-WCRE 2014)},
	year = {2014},
	month = {feb},
	pages = {440{\textendash}445},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Antwerp, Belgium},
	abstract = {Software systems are evolving continuously in order to fulfill the ever-changing business needs. This endless modification, however, decreases the internal quality of the system over time. This phenomena is called software erosion, which results in higher development, testing, and operational costs. The SourceAudit tool presented in this paper helps managing the technical risks of software deterioration by allowing imme-diate, automatic, and objective assessment of software quality. By monitoring the high-level technical quality of systems it is possible to immediately perform the necessary steps needed to reduce the effects of software erosion, thus reaching higher maintainability and lower costs in the mid and long-term. The tool measures source code maintainability according to the ISO/IEC 25010 based probabilistic software maintainability model called ColumbusQM. It gives a holistic view on software quality and warns on source code maintainability decline.},
	keywords = {ColumbusQM, development costs, internal system quality, ISO-IEC 25010 based probabilistic software maintainability, operational costs, QualityGate SourceAudit, software deterioration, Software Erosion, Source code maintainability, technical software quality, testing costs},
	doi = {10.1109/CSMR-WCRE.2014.6747214},
	url = {http://ieeexplore.ieee.org/document/6747214/},
	author = {Tibor Bakota and P Heged{\H u}s and Istv{\'a}n Siket and Lad{\'a}nyi, Gergely and Rudolf Ferenc}
}
@conference {FLS14,
	title = {{SourceMeter} {SonarQube} plug-in},
	booktitle = {Proceedings of the 14th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2014)},
	year = {2014},
	month = {sep},
	pages = {77{\textendash}82},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Victoria, British Columbia, Canada},
	abstract = {The SourceMeter Sonar Qube plug-in is an extension of Sonar Qube, an open-source platform for managing code quality made by Sonar Source S.A, Switzerland. The plug-in extends the built-in Java code analysis engine of Sonar Qube with Front End ART{\textquoteright}s high-end Java code analysis engine. Most of Sonar Qubes original analysis results are replaced (including the detected source code duplications), while the range of available analyses is extended with a number of additional metrics and issue detectors. Additionally, the plug-in offers new GUI features on the Sonar Qube dashboard and drilldown views, making the Sonar Qube user experience more comfortable and the work with the tool more productive.},
	keywords = {clone detection, coding issues, metrics, plug-in, software quality, Sonar Qube, Source Meter},
	doi = {10.1109/SCAM.2014.31},
	url = {http://ieeexplore.ieee.org/document/6975640/},
	author = {Rudolf Ferenc and Lang{\'o}, L{\'a}szl{\'o} and Istv{\'a}n Siket and Tibor Gyim{\'o}thy and Tibor Bakota}
}
@conference {VBT14,
	title = {Test Suite Reduction for Fault Detection and Localization: A Combined Approach},
	booktitle = {Proceedings of the CSMR-WCRE 2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE{\textquoteright}14)},
	year = {2014},
	pages = {204-213},
	author = {L{\'a}szl{\'o} Vid{\'a}cs and {\'A}rp{\'a}d Besz{\'e}des and Tengeri, D{\'a}vid and Istv{\'a}n Siket and Tibor Gyim{\'o}thy}
}
@booklet {TR2013001,
	title = {Survey on Testing Embedded Systems},
	year = {2013},
	publisher = {University of Szeged, Department of Software Engineering \& University of Novi Sad, Faculty of Technical Sciences},
	type = {Technical Report},
	url = {http://cirene.sed.hu/sites/cirene.sed.hu/files/page_files/3.2-Survey-on-Testing-Embedded-Systems.pdf},
	author = {{\'A}rp{\'a}d Besz{\'e}des and Tam{\'a}s Gergely and Papp, Istv{\'a}n and Marinkovi{\'c}, Vladimir and Zlokolica, Vladimir and Gerg{\H o} Balogh and Bogn{\'a}r, Szabolcs and Kastelan, Ivan and Kova{\v c}evi{\'c}, Jelena and Muhi, Korn{\'e}l and Csaba Nagy and Popovi{\'c}, Miroslav and R{\'a}cz, R{\'o}bert and Istv{\'a}n Siket and Varga, P{\'e}ter}
}
@conference {TNF13,
	title = {Using Version Control History to Follow the Changes of Source Code Elements},
	booktitle = {Proceedings of the 17th European Conference on Software Maintenance and Reengineering (CSMR 2013)},
	year = {2013},
	month = {mar},
	pages = {319{\textendash}322},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Genova, Italy},
	abstract = {Version control systems store the whole history of the source code. Since the source code of a system is organized into files and folders, the history tells us the concerned files and their changed lines only but software engineers are also interested in which source code elements (e.g. classes or methods) are affected by a change. Unfortunately, in most programming languages source code elements do not follow the file system hierarchy, which means that a file can contain more classes and methods and a class can be stored in more files, which makes it difficult to determine the changes of classes by using the changes of files. To solve this problem we developed an algorithm, which is able to follow the changes of the source code elements by using the changes of files and we successfully applied it on the Web Kit open source system.},
	keywords = {Repository Mining, Static Analysis, Version Control System},
	doi = {10.1109/CSMR.2013.40},
	url = {http://ieeexplore.ieee.org/document/6498479/},
	author = {T{\'o}th, Zolt{\'a}n and Nov{\'a}k, G{\'a}bor and Rudolf Ferenc and Istv{\'a}n Siket}
}
@conference {16373,
	title = {Using Version Control History to Follow the Changes of Source Code Elements},
	booktitle = {Proceedings of the 17th European Conference on Software Maintenance and Reengineering},
	year = {2013},
	pages = {319{\textendash}322},
	publisher = {IEEE Computer Society Press},
	organization = {IEEE Computer Society Press},
	address = {Los Alamitos},
	author = {Zolt{\'a}n T{\'o}th and G{\'a}bor Nov{\'a}k and Rudolf Ferenc and Istv{\'a}n Siket},
	editor = {Anthony Cleve and Filippo Ricca and Maura Cerioli}
}
@article {16341,
	title = {Code Clones: Good, Bad, or Ugly?},
	journal = {Nordic Journal of Computing},
	volume = {15},
	year = {2012},
	pages = {3{\textendash}17},
	issn = {1236-6064},
	author = {M. Harsu and Tibor Bakota and Istv{\'a}n Siket and K. Koskimies and T. Systa}
}
@article {16328,
	title = {Towards Building Method Level Maintainability Models Based on Expert Evaluations},
	journal = {Communications in Computer and Information Science},
	volume = {340},
	year = {2012},
	pages = {146{\textendash}154},
	issn = {1865-0929},
	author = {P Heged{\H u}s and G. Lad{\'a}nyi and Istv{\'a}n Siket and Rudolf Ferenc}
}
@mastersthesis {Siket10,
	title = {Applying Software Product Metrics in Software Maintenance},
	year = {2010},
	type = {phd},
	author = {Istv{\'a}n Siket}
}
@conference {HHH10,
	title = {Effect of Object Oriented Refactoring on Testability, Error Proneness and other Maintainability Attributes},
	booktitle = {Proceedings of the 1st Workshop on Testing Object-Oriented Systems (ETOOS 2010)},
	year = {2010},
	pages = {Paper 8},
	author = {Gy. Heged{\H u}s and D. Heged{\H u}s and Gy. Hrabovszki and Istv{\'a}n Siket}
}
@article {IS09,
	title = {{Evaluating the Effectiveness of Object-Oriented Metrics for Bug Prediction}},
	journal = {Periodica Polytechnica},
	volume = {11},
	number = {3{\textendash}4},
	year = {2010},
	pages = {177{\textendash}186},
	author = {Istv{\'a}n Siket}
}
@article {Siket_Gyimothy_2010,
	title = {The software developers{\textquoteright} view on product metrics - A survey-based experiment},
	journal = {Annales Mathematicae et Informaticae},
	volume = {37},
	year = {2010},
	pages = {225{\textendash}240},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79952682662\&partnerID=40\&md5=62c77a014d644ce3e4ccc4198015032a},
	author = {Istv{\'a}n Siket and Tibor Gyim{\'o}thy}
}
@conference {HBS09,
	title = {Code Clones: Good, Bad, or Ugly?},
	booktitle = {11th Symposium on Programming Languages and Software Tools SPLST{\textquoteright}09},
	year = {2009},
	pages = {31-44},
	author = {M. Harsu and Tibor Bakota and Istv{\'a}n Siket and K. Koskimies and T. Systa}
}
@conference {Siket08,
	title = {Evaluating the Effectiveness of Object-Oriented Metrics for Bug Prediction},
	booktitle = {Proceedings of the Sixth Conference of PhD Students in Computer Science (CSCS{\textquoteright}08)},
	year = {2008},
	pages = {177-186},
	author = {Istv{\'a}n Siket}
}
@conference {GFS05,
	title = {{Empirical Validation of Object-Oriented Metrics on Open Source Software for Fault Prediction}},
	booktitle = {IEEE Transactions on Software Engineering},
	volume = {31},
	number = {10},
	year = {2005},
	month = {oct},
	pages = {897-910},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	keywords = {relate:quality, software quality selected},
	author = {Tibor Gyim{\'o}thy and Rudolf Ferenc and Istv{\'a}n Siket}
}
@conference {SiF04,
	title = {Calculating Metrics from Large {C++} Programs},
	booktitle = {Proceedings of the 6th International Conference on Applied Informatics (ICAI2004)},
	year = {2004},
	month = {jan},
	pages = {319-328},
	author = {Istv{\'a}n Siket and Rudolf Ferenc}
}
@conference {FSG04,
	title = {{Extracting Facts from Open Source Software}},
	booktitle = {Proceedings of the 20th International Conference on Software Maintenance (ICSM 2004)},
	year = {2004},
	month = {sep},
	pages = {60-69},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	author = {Rudolf Ferenc and Istv{\'a}n Siket and Tibor Gyim{\'o}thy}
}
@conference {SSB04,
	title = {Signaling compression},
	booktitle = {Fourth Conference of PhD Students in Computer Science (CSCS 2004)},
	year = {2004},
	month = {jul},
	pages = {103},
	author = {Istv{\'a}n Siket and G. Sey and V. Bilicki}
}
