TY  - CHAP
AU  - Goldschmidt, Balázs
AU  - Simon, Balázs
AU  - Karsa, Zoltán István
TI  - The capabilities of ChatGPT 3.5 solving CS exam problems
T2  - Proceedings of the Workshop on the Advances of Information Technology 2024
PB  - BME Irányítástechnika és Informatika Tanszék
CY  - Budapest
SN  - 9789634219422
PY  - 2024
SP  - 64
EP  - 70
PG  - 7
UR  - https://m2.mtmt.hu/api/publication/34633249
ID  - 34633249
AB  - 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.
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Simon, Balázs
AU  - Goldschmidt, Balázs
AU  - Karsa, Zoltán István
TI  - MetaGenerator: a Template-Based Code Generator Language for .NET
T2  - Proceedings of the Workshop on the Advances of Information Technology 2024
PB  - BME Irányítástechnika és Informatika Tanszék
CY  - Budapest
SN  - 9789634219422
PY  - 2024
SP  - 94
EP  - 100
PG  - 7
UR  - https://m2.mtmt.hu/api/publication/34633202
ID  - 34633202
AB  - 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.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Ferencz, Endre
AU  - Goldschmidt, Balázs
TI  - A novel program synthesis approach in test driven software development
JF  - POLLACK PERIODICA: AN INTERNATIONAL JOURNAL FOR ENGINEERING AND INFORMATION SCIENCES
J2  - POLLACK PERIODICA
VL  - 12
PY  - 2017
IS  - 2
SP  - 3
EP  - 15
PG  - 13
SN  - 1788-1994
DO  - 10.1556/606.2017.12.2.1
UR  - https://m2.mtmt.hu/api/publication/3256005
ID  - 3256005
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Ferencz, Endre
AU  - Goldschmidt, Balázs
ED  - Kiss, Bálint
ED  - Szirmay-Kalos, László
TI  - Automated Test Data Generation with JPA
T2  - Proceedings of the Workshop on the Advances of Information Technology: WAIT 2015
PB  - BME Irányítástechnika és Informatika Tanszék
CY  - Budapest
SN  - 9789633131787
PY  - 2015
SP  - 10
EP  - 15
PG  - 6
UR  - https://m2.mtmt.hu/api/publication/3087834
ID  - 3087834
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Simon, Balázs
AU  - Goldschmidt, Balázs
ED  - Kiss, Bálint
ED  - Szirmay-Kalos, László
TI  - SOAL: A Distributed Service Description Language
T2  - Proceedings of the Workshop on the Advances of Information Technology: WAIT 2015
PB  - BME Irányítástechnika és Informatika Tanszék
CY  - Budapest
SN  - 9789633131787
PY  - 2015
SP  - 29
EP  - 34
PG  - 6
UR  - https://m2.mtmt.hu/api/publication/2905299
ID  - 2905299
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Simon, Balázs
AU  - Goldschmidt, Balázs
AU  - Kondorosi, Károly
TI  - A Performance Model for the Web Service Protocol Stacks
JF  - IEEE TRANSACTIONS ON SERVICES COMPUTING
J2  - IEEE T SERV COMPUT
VL  - 8
PY  - 2015
IS  - 5
SP  - 644
EP  - 657
PG  - 14
SN  - 1939-1374
DO  - 10.1109/TSC.2014.2338866
UR  - https://m2.mtmt.hu/api/publication/2753367
ID  - 2753367
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Ferencz, Endre
AU  - Bozóki, Szilárd
AU  - Budai, Péter
AU  - Goldschmidt, Balázs
ED  - Nagy, Miklós
TI  - JPA alapú teszteléstámogatás
T2  - Networkshop 2014
PB  - Nemzeti Információs Infrastruktúra Fejlesztési Intézet (NIIF Intézet)
CY  - Budapest
SN  - 9789638833556
PY  - 2014
SP  - 100
EP  - 118
PG  - 19
UR  - https://m2.mtmt.hu/api/publication/3087841
ID  - 3087841
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Hartung, István
AU  - Goldschmidt, Balázs
TI  - Performance Analysis of Windows Azure Data Storage Options
JF  - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
J2  - LECT NOTES ARTIF INT
VL  - 8353
PY  - 2014
SP  - 499
EP  - 506
PG  - 8
SN  - 0302-9743
DO  - 10.1007/978-3-662-43880-0_57
UR  - https://m2.mtmt.hu/api/publication/3003453
ID  - 3003453
N1  - WoS:hiba:000345642700057 2020-08-29 07:15 típus nem egyezik
AB  - 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.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Budai, Péter István
AU  - Goldschmidt, Balázs
TI  - Performance Analysis of Cloud-Based Application
JF  - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
J2  - LECT NOTES ARTIF INT
VL  - 8353
PY  - 2014
SP  - 476
EP  - 483
PG  - 8
SN  - 0302-9743
DO  - 10.1007/978-3-662-43880-0_54
UR  - https://m2.mtmt.hu/api/publication/3003451
ID  - 3003451
AB  - 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.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Simon, Balázs
AU  - Goldschmidt, Balázs
AU  - Kondorosi, Károly
TI  - A Platform Independent Access Control Metamodel for Web Services
JF  - PERIODICA POLYTECHNICA-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
J2  - PERIOD POLYTECH ELECTR ENG COMP SCI
VL  - 58
PY  - 2014
IS  - 3
SP  - 93
EP  - 108
PG  - 16
SN  - 2064-5260
DO  - 10.3311/PPee.2093
UR  - https://m2.mtmt.hu/api/publication/2698054
ID  - 2698054
LA  - English
DB  - MTMT
ER  -