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Personal data sheet
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personal data approved: 2023. I. 09.
Personal data
name Judit Jász
name of institution
doctoral school
SzTE Doctoral School of Computer Science (Announcer of research topic)
Contact details
E-mail address jasyinf.u-szeged.hu
phone number +36 62 546-728
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2010
discipline to which degree belongs mathematics and computing
institution granting the degree University of Szeged
Employment
2012 - University of Szeged
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now
number of students who fulfilled course requirements
students who obtained their degrees:
  Thesis topic proposals
Research
research area program slicing, program testing and impact analysis
research field in which current research is conducted computer sciences
Publications
2021

 Aladics Tamás, Jász Judit, Ferenc Rudolf: Bug Prediction Using Source Code Embedding Based on Doc2Vec, In: Torre, Carmelo Maria; Tarantino, Eufemia; Rocha, Ana Maria A. C.; Apduhan, Bernady O.; Taniar, David; Blečić, Ivan; Garau, Chiara; Misra, Sanjay; Murgante, Beniamino; Gervasi, Osvaldo (szerk.) Computational Science and Its Applications – ICCSA 2021, Springer International Publishing (2021) pp. 382-397.
type of document: Part of book/Proceedings Paper
language: English
URL 
2021

 Szamosvölgyi Zsolt János, Váradi Endre Tamás, Tóth Zoltán, Jász Judit, Ferenc Rudolf: Assessing Ensemble Learning Techniques in Bug Prediction, In: Torre, Carmelo Maria; Tarantino, Eufemia; Rocha, Ana Maria A. C.; Apduhan, Bernady O.; Taniar, David; Blečić, Ivan; Garau, Chiara; Misra, Sanjay; Murgante, Beniamino; Gervasi, Osvaldo (szerk.) Computational Science and Its Applications – ICCSA 2021, Springer International Publishing (2021) pp. 368-381.
type of document: Part of book/Proceedings Paper
language: English
URL 
2020

 Ferenc Rudolf, Viszkok Tamás, Aladics Tamás, Jász Judit, Hegedűs Péter: Deep-water framework: The Swiss army knife of humans working with machine learning models, SoftwareX 12: 100551
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2020

 Tamás Aladics, Judit Jász, Rudolf Ferenc: Feature Extraction from JavaScript, In: The 12th Conference of PhD Students in Computer Science, Szegedi Tudományegyetem (2020) pp. 143-146.
type of document: Conference paper/Előadás vagy poszter cikke
language: English
2019

 Jász Judit, Siket István, Pengő Edit, Ságodi Zoltán, Ferenc Rudolf: Systematic Comparison of Six Open-source Java Call Graph Construction Tools, In: Marten, van Sinderen; Leszek, Maciaszek (szerk.) Proceedings of the 14th International Conference on Software Technologies, Institute for Systems and Technologies of Information, Control and Communication (INSTICC) (2019) pp. 117-128.
type of document: Part of book/Szaktanulmány (to be translated)
language: English
URL 
2015

 David Binkley, Árpád Beszédes, Syed Islam, Judit Jász, Béla Vancsics: Uncovering dependence clusters and linchpin functions, In: Rainer, Koschke; Jens, Krinke; Martin, Robillard (szerk.) 2015 IEEE International Conference on Software Maintenance and Evolution, IEEE (2015) pp. 141-150.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL 
2015

 Árpád Beszédes, Lajos Schrettner, Béla Csaba, Tamás Gergely, Judit Jász, Tibor Gyimóthy: Empirical investigation of SEA-based dependence cluster properties, SCIENCE OF COMPUTER PROGRAMMING 105: pp. 3-25.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2014

 Lajos Schrettner, Judit Jász, Tamás Gergely, Árpád Beszédes, Tibor Gyimóthy: Impact analysis in the presence of dependence clusters using Static Execute After in WebKit, JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS 26: (6) pp. 569-588.
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL 
2008

 Jász J, Beszédes Á, Gyimóthy T, Rajlich V: Static Execute After/Before as a Replacement of Traditional Software Dependencies, In: Proceedings of the 2008 IEEE International Conference on Software Maintenance (ICSM 2008), (2008) pp. 137-146.
type of document: Conference paper/Előadás vagy poszter cikke
number of independent citations: 18
language: English
2005

 Ákos Kiss, Judit Jász, Tibor Gyimóthy: Using dynamic information in the interprocedural static slicing of binary executables, SOFTWARE QUALITY JOURNAL 13: (3) pp. 227-245.
type of document: Journal paper/Article
number of independent citations: 6
language: English
URL 
Number of independent citations to these publications:33 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
34
number of scientific publications:
34
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
179

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )