@inproceedings{MTMT:34633249,
	title = {The capabilities of ChatGPT 3.5 solving CS exam problems},
	url = {https://m2.mtmt.hu/api/publication/34633249},
	author = {Goldschmidt, Balázs and Simon, Balázs and Karsa, Zoltán István},
	booktitle = {Proceedings of the Workshop on the Advances of Information Technology 2024},
	unique-id = {34633249},
	abstract = {In this paper we introduce the results of our experiments using ChatGPT 3.5 to solve problems of the tests used in three subjects of the programming curricula of our university. The result show that large language models are now capable to provide solutions that are mostly good, sometimes ugly or bad. We show examples for all three kinds and give recommendations for both teachers and students regarding these results.},
	year = {2024},
	pages = {64-70}
}

@inproceedings{MTMT:34633202,
	title = {MetaGenerator: a Template-Based Code Generator Language for .NET},
	url = {https://m2.mtmt.hu/api/publication/34633202},
	author = {Simon, Balázs and Goldschmidt, Balázs and Karsa, Zoltán István},
	booktitle = {Proceedings of the Workshop on the Advances of Information Technology 2024},
	unique-id = {34633202},
	abstract = {There are many different template-based code generation (TBCG) languages available today, however, they can be inconvenient to use or may produce badly formatted output. In this paper we examine the most popular TBCG languages and propose one which unites the advantages of these: it is easy to read and write, it can precisely control the formatting of the output, it can preserve modifications in the output made by developers, and can even backtrack the position of the input from the output.},
	year = {2024},
	pages = {94-100}
}

@article{MTMT:3256005,
	title = {A novel program synthesis approach in test driven software development},
	url = {https://m2.mtmt.hu/api/publication/3256005},
	author = {Ferencz, Endre and Goldschmidt, Balázs},
	doi = {10.1556/606.2017.12.2.1},
	journal-iso = {POLLACK PERIODICA},
	journal = {POLLACK PERIODICA: AN INTERNATIONAL JOURNAL FOR ENGINEERING AND INFORMATION SCIENCES},
	volume = {12},
	unique-id = {3256005},
	issn = {1788-1994},
	year = {2017},
	eissn = {1788-3911},
	pages = {3-15}
}

@inproceedings{MTMT:3087834,
	title = {Automated Test Data Generation with JPA},
	url = {https://m2.mtmt.hu/api/publication/3087834},
	author = {Ferencz, Endre and Goldschmidt, Balázs},
	booktitle = {Proceedings of the Workshop on the Advances of Information Technology: WAIT 2015},
	unique-id = {3087834},
	year = {2015},
	pages = {10-15}
}

@inproceedings{MTMT:2905299,
	title = {SOAL: A Distributed Service Description Language},
	url = {https://m2.mtmt.hu/api/publication/2905299},
	author = {Simon, Balázs and Goldschmidt, Balázs},
	booktitle = {Proceedings of the Workshop on the Advances of Information Technology: WAIT 2015},
	unique-id = {2905299},
	year = {2015},
	pages = {29-34}
}

@article{MTMT:2753367,
	title = {A Performance Model for the Web Service Protocol Stacks},
	url = {https://m2.mtmt.hu/api/publication/2753367},
	author = {Simon, Balázs and Goldschmidt, Balázs and Kondorosi, Károly},
	doi = {10.1109/TSC.2014.2338866},
	journal-iso = {IEEE T SERV COMPUT},
	journal = {IEEE TRANSACTIONS ON SERVICES COMPUTING},
	volume = {8},
	unique-id = {2753367},
	issn = {1939-1374},
	year = {2015},
	eissn = {1939-1374},
	pages = {644-657}
}

@inproceedings{MTMT:3087841,
	title = {JPA alapú teszteléstámogatás},
	url = {https://m2.mtmt.hu/api/publication/3087841},
	author = {Ferencz, Endre and Bozóki, Szilárd and Budai, Péter and Goldschmidt, Balázs},
	booktitle = {Networkshop 2014},
	unique-id = {3087841},
	year = {2014},
	pages = {100-118}
}

@article{MTMT:3003453,
	title = {Performance Analysis of Windows Azure Data Storage Options},
	url = {https://m2.mtmt.hu/api/publication/3003453},
	author = {Hartung, István and Goldschmidt, Balázs},
	doi = {10.1007/978-3-662-43880-0_57},
	journal-iso = {LECT NOTES ARTIF INT},
	journal = {LECTURE NOTES IN ARTIFICIAL INTELLIGENCE},
	volume = {8353},
	unique-id = {3003453},
	issn = {0302-9743},
	abstract = {Windows Azure provides an IaaS cloud service with virtual machines, web and worker roles and practically unlimited, pay-as-you-go storage options which can be used for applications requiring big data or parallel computing which is important in many fields including biology, astronomy, nuclear physics and economics. When moving an application or computation task to the cloud it is very important to perform proof of concept performance testing and to carefully choose the proper building blocks for the given tasks. Windows Azure provides multiple data management options with a relational SQL database for transactional data access, Azure Tables for auto scalable storage of unstructured data, and a blob storage for storing large amounts of binary data which is easily mountable to a given virtual machine. In this paper we present a general performance analysis of the Windows Azure cloud with focus on cloud storage options. We present an environment to perform automated testing of the major features of Azure storage and we also present the preliminary results and suggestions regarding the usage of the different services.},
	year = {2014},
	pages = {499-506}
}

@article{MTMT:3003451,
	title = {Performance Analysis of Cloud-Based Application},
	url = {https://m2.mtmt.hu/api/publication/3003451},
	author = {Budai, Péter István and Goldschmidt, Balázs},
	doi = {10.1007/978-3-662-43880-0_54},
	journal-iso = {LECT NOTES ARTIF INT},
	journal = {LECTURE NOTES IN ARTIFICIAL INTELLIGENCE},
	volume = {8353},
	unique-id = {3003451},
	issn = {0302-9743},
	abstract = {Cloud computing, and IaaS cloud services in particular suit well to resource-intensive applications by offering on-demand allocation of computing power, storage space and network bandwidth together with pay-as-you-go billing system. Typical cloud applications consist of several interdependent components, all residing on one or more dedicated virtual computers. In order to be able to accurately estimate the resource requirements of a specific component, one must carry out detailed performance analysis. In this paper, we present the general concepts and pitfalls of performance analysis in the cloud environment. Then we present a lightweight distributed framework that is capable of generating load to and collecting performance metrics from the component instances. The capabilities of our framework will be demonstrated on a case study of the scalability analysis of a distributed MySQL relational database management system.},
	keywords = {FRAMEWORK; Performance analysis; Cloud computing; Test framework; Load generation},
	year = {2014},
	pages = {476-483}
}

@article{MTMT:2698054,
	title = {A Platform Independent Access Control Metamodel for Web Services},
	url = {https://m2.mtmt.hu/api/publication/2698054},
	author = {Simon, Balázs and Goldschmidt, Balázs and Kondorosi, Károly},
	doi = {10.3311/PPee.2093},
	journal-iso = {PERIOD POLYTECH ELECTR ENG COMP SCI},
	journal = {PERIODICA POLYTECHNICA-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE},
	volume = {58},
	unique-id = {2698054},
	issn = {2064-5260},
	year = {2014},
	eissn = {2064-5279},
	pages = {93-108}
}