most citedAn Analysis of the Automatic Bug Fixing Performance of ChatGPT

50 citations · 62 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SE2023

User-Centric Deployment of Automated Program Repair at Bloomberg

David Williams, James Callan, Serkan Kirbas +4

Automated program repair (APR) tools have unlocked the potential for the rapid rectification of codebase issues. However, to encourage wider adoption of program repair in practice,…

cs.SE2023

Multi-Objective Improvement of Android Applications

James Callan, Justyna Petke

Non-functional properties, such as runtime or memory use, are important to mobile app users and developers, as they affect user experience. Previous work on automated improvement o…

cs.SE2023

Software Product Line Engineering via Software Transplantation

Leandro O. Souza, Earl T. Barr, Justyna Petke +2

For companies producing related products, a Software Product Line (SPL) is a software reuse method that improves time-to-market and software quality, achieving substantial cost red…

cs.NE2023

GI Software with fewer Data Cache Misses

William B. Langdon, Justyna Petke, Aymeric Blot +1

By their very name caches are often overlooked and yet play a vital role in the performance of modern and indeed future hardware. Using MAGPIE (Machine Automated General Performanc…

cs.SE202350 cited

An Analysis of the Automatic Bug Fixing Performance of ChatGPT

Dominik Sobania, Martin Briesch, Carol Hanna +1

To support software developers in finding and fixing software bugs, several automated program repair techniques have been introduced. Given a test suite, standard methods usually e…

cs.SE202212 cited

MAGPIE: Machine Automated General Performance Improvement via Evolution of Software

Aymeric Blot, Justyna Petke

Performance is one of the most important qualities of software. Several techniques have thus been proposed to improve it, such as program transformations, optimisation of software…