APR 2024 Contributors

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Results (49)

A Omar Al-BatainehAl-Bataineh, Omar Simula Research Laboratory Towards Developing Effective Fault localization Technique for Termination Bugs in Loop Programs
B Paul BlockhausBlockhaus, Paul Otto-von-Guericke-University Magdeburg, Germany ASAP-Repair: API-Specific Automated Program Repair Based on API Usage Graphs
C Andreea CosteaCostea, Andreea National University of SingaporeSingapore APR Competition 2024
Viktor CsuvikCsuvik, Viktor Department of Software Engineering, MTA-SZTE Research Group on Artificial Intelligence, University of Szeged, Szeged, HungaryHungary Automated Program Repair with the GPT Family, including GPT-2, GPT-3 and CodeX
D Josu Diaz-de-ArcayaDiaz-de-Arcaya, Josu Towards the self-healing of Infrastructure as Code projects using constrained LLM technologies
Gregory J. DuckDuck, Gregory J. National University of SingaporeSingapore APR Competition 2024
G Xiang GaoGao, Xiang Beihang UniversityChina APR Competition 2024
Tibor GyimothyGyimothy, Tibor Automated Program Repair with the GPT Family, including GPT-2, GPT-3 and CodeX
H Haifeng Ruan Haifeng Ruan APR Competition 2024
Li HuangHuang, Li Constructor Institute Schaffhausen BUGFIX: towards a common language and framework for the Automatic Program Repair community
J Mikoláš JanotaJanota, Mikoláš Czech Technical University in Prague C-Pack of IPAs: A C90 Program Benchmark of Introductory Programming Assignments
Nan JiangJiang, Nan Purdue UniversityUnited States RepairCAT: AI-Generated Python Bugs
K Viktoryia KananchukKananchuk, Viktoryia BUGFIX: towards a common language and framework for the Automatic Program Repair community
Serkan KirbasKirbas, Serkan Bloomberg LPUnited Kingdom Lessons from Industry on Automated Program Repair
Jacob KrügerKrüger, Jacob Eindhoven University of TechnologyNetherlands ASAP-Repair: API-Specific Automated Program Repair Based on API Usage Graphs
L Márk LajkóLajkó, Márk Department of Software Engineering, MTA-SZTE Research Group on Artificial Intelligence, University of Szeged, Szeged, Hungary Automated Program Repair with the GPT Family, including GPT-2, GPT-3 and CodeX
Claire Le GouesLe Goues, Claire Carnegie Mellon University What is a bug? Implications for the future of automatic repair
Chongmin LiLi, Chongmin BRAFAR: An Automated Program Repair Tool for Programming Assignments
Juan López-de-ArmentiaLópez-de-Armentia, Juan Tecnalia, Basque Research & Technology Alliance (BRTA)Spain Towards the self-healing of Infrastructure as Code projects using constrained LLM technologies
M Vasco ManquinhoManquinho, Vasco INESC-ID; Universidade de LisboaPortugal C-Pack of IPAs: A C90 Program Benchmark of Introductory Programming Assignments
Sergey MechtaevMechtaev, Sergey University College LondonUnited Kingdom Session Chair of ML-Based APR (part of APR) F1X at APR-COMP 2024
Bertrand MeyerMeyer, Bertrand Constructor Institute Schaffhausen BUGFIX: towards a common language and framework for the Automatic Program Repair community
Martin MirchevMirchev, Martin National University of SingaporeSingapore APR Competition 2024
Leon MoonenMoonen, Leon Simula Research Laboratory and BI Norwegian Business SchoolNorway Towards Developing Effective Fault localization Technique for Termination Bugs in Loop Programs
N Sebastian NielebockNielebock, Sebastian Otto-von-Guericke University MagdeburgGermany ASAP-Repair: API-Specific Automated Program Repair Based on API Usage Graphs
Yannic NollerNoller, Yannic Singapore University of Technology and DesignSingapore APR Competition 2024
O Frank OrtmeierOrtmeier, Frank University of MagdeburgGermany ASAP-Repair: API-Specific Automated Program Repair Based on API Usage Graphs
Pedro OrvalhoOrvalho, Pedro INESC-ID, Instituto Superior Técnico, Universidade de LisboaPortugal C-Pack of IPAs: A C90 Program Benchmark of Introductory Programming Assignments
P Minxue PanPan, Minxue Nanjing UniversityChina BRAFAR: An Automated Program Repair Tool for Programming Assignments
Yu PeiPei, Yu The Hong Kong Polytechnic UniversityChina BRAFAR: An Automated Program Repair Tool for Programming Assignments
R Francisco RibeiroRibeiro, Francisco University of Minho & HASLab, INESCTEC Large Language Models in Automated Repair of Haskell Type Errors
Abhik RoychoudhuryRoychoudhury, Abhik National University of SingaporeSingapore APR Competition 2024
S Sofia SantosSantos, Sofia Large Language Models in Automated Repair of Haskell Type Errors
João SaraivaSaraiva, João Large Language Models in Automated Repair of Haskell Type Errors
Ridwan Salihin ShariffdeenShariffdeen, Ridwan Salihin National University of SingaporeSingapore Session Chair of APR-COMP (part of APR) APR Competition 2024
T Shin Hwei TanTan, Shin Hwei Concordia UniversityCanada Session Chair of APR Infrastructure (part of APR) F1X at APR-COMP 2024
Ana I. Torre-BastidaTorre-Bastida, Ana I. Towards the self-healing of Infrastructure as Code projects using constrained LLM technologies
V László VidácsVidács, László University of Szeged, HungaryHungary Automated Program Repair with the GPT Family, including GPT-2, GPT-3 and CodeX
W Joseph N. WilsonWilson, Joseph N. University of Florida BOSS: A dataset to train ML-based systems to repair programs with out-of-bounds write flaws
Yi WuWu, Yi Purdue UniversityUnited States RepairCAT: AI-Generated Python Bugs
X Yuan-An XiaoXiao, Yuan-An Peking UniversityChina The ET Program Repair Tool for Java
Linna XieXie, Linna Nanjing UniversityChina BRAFAR: An Automated Program Repair Tool for Programming Assignments
Yingfei XiongXiong, Yingfei Peking UniversityChina The ET Program Repair Tool for Java
Y Anurag Swarnim YadavYadav, Anurag Swarnim BOSS: A dataset to train ML-based systems to repair programs with out-of-bounds write flaws
He YeYe, He Carnegie Mellon University Session Chair of APR Techniques (part of APR)
Yuan YuanYuan, Yuan ARJA-e for the First International Competition on Automated Program Repair
Z Tian ZhangZhang, Tian Nanjing UniversityChina BRAFAR: An Automated Program Repair Tool for Programming Assignments
Qihao ZhuZhu, Qihao Peking UniversityChina The ET Program Repair Tool for Java
Gorka ZárateZárate, Gorka Towards the self-healing of Infrastructure as Code projects using constrained LLM technologies