@inproceedings{MTMT:30602653,
	title = {Incremental Parsing of Large Legacy C/C++ Software},
	url = {https://m2.mtmt.hu/api/publication/30602653},
	author = {Fekete, Anett and Cserép, Máté},
	booktitle = {Proceedings of the 21st International Multiconference on Information Society (IS)},
	unique-id = {30602653},
	abstract = {CodeCompass is an open source project intended to support code comprehension by providing textual information, source code metrics, version control information and visualization views of the file and directory level relations for the analyzed project. Regarding the typical software development methodologies (especially the agile ones), only a smaller portion of the code base is affected by any change during a shorter amount of time (e.g. between nightly builds), therefore parsing the entire project each time is unnecessary and expensive. A newly introduced feature, incremental parsing is intended to solve this problem by only processing files that have been recently changed and leaving the rest alone. This is achieved by the maintenance of the project workspace database followed by the partial parsing of the project. The feature has been tested both on medium and large scale projects and proved to be an effective tool in CodeCompass.},
	year = {2018},
	pages = {51-54},
	orcid-numbers = {Cserép, Máté/0000-0002-3168-7736}
}

@inproceedings{MTMT:3384852,
	title = {CodeCompass. An Open Software Comprehension Framework for Industrial Usage},
	url = {https://m2.mtmt.hu/api/publication/3384852},
	author = {Porkoláb, Zoltán and Brunner, Tibor and Dániel, Krupp and Márton, Csordás},
	booktitle = {ICPC 2018},
	doi = {10.1145/3196321.3197546},
	unique-id = {3384852},
	year = {2018},
	pages = {361-369},
	orcid-numbers = {Porkoláb, Zoltán/0000-0001-6819-0224}
}

@inproceedings{MTMT:3288718,
	title = {Towards Better Symbol Resolution for C/C++ Programs: A Cluster-Based Solution},
	url = {https://m2.mtmt.hu/api/publication/3288718},
	author = {Szalay, Richárd and Porkoláb, Zoltán and Dániel, Krupp},
	booktitle = {2017 IEEE 17th International Working Conference on Source Code Analysis and Manipulation (SCAM) (2017)},
	doi = {10.1109/SCAM.2017.15},
	unique-id = {3288718},
	abstract = {Resolving symbol references is an important part of many 
		application areas from development environments to various 
		static analyser tools, especially when it is used for code 
		comprehension purposes. Different occurrences of the same 
		program elements, like function definitions and their call 
		sites, variable declarations and their usage, or type 
		definitions and their applications should be connected. In case 
		of the C++ programming language, the most current tools use 
		mangled names to correlate symbols, e.g. when implementing 
		actions like "go to definition" or "list all references". 
		However, for large projects, where multiple binaries are 
		created, symbol resolution based on mangled names can be, and 
		usually is, ambiguous. This leads to inaccurate behaviour even 
		in major development tools. In this paper we explore the reason 
		of this ambiguity, and propose our clustering algorithm based 
		on essential build information to improve the accuracy of 
		symbol resolution. We implemented our method as part of the 
		CodeCompass open source code comprehension tool and measured 
		its efficiency.},
	year = {2017},
	pages = {101-110},
	orcid-numbers = {Szalay, Richárd/0000-0001-5684-5158; Porkoláb, Zoltán/0000-0001-6819-0224}
}

@article{MTMT:2801222,
	title = {Visualization Techniques of Components for Large Legacy C/C++ software},
	url = {https://m2.mtmt.hu/api/publication/2801222},
	author = {Cserép, Máté and Krupp, Dániel},
	journal-iso = {STUD UNIV BABES-BOLYAI SER INFO},
	journal = {STUDIA UNIVERSITATIS BABES-BOLYAI SERIES INFORMATICA},
	volume = {59},
	unique-id = {2801222},
	issn = {1224-869X},
	year = {2014},
	eissn = {2065-9601},
	pages = {59-74},
	orcid-numbers = {Cserép, Máté/0000-0002-3168-7736}
}