11 citations · 14 across the 4 of their papers we have counts for
4 papers · 1 filter
Too Few Bug Reports? Exploring Data Augmentation for Improved Changeset-based Bug Localization
Agnieszka Ciborowska, Kostadin Damevski
Modern Deep Learning (DL) architectures based on transformers (e.g., BERT, RoBERTa) are exhibiting performance improvements across a number of natural language tasks. While such DL…
Online Adaptable Bug Localization for Rapidly Evolving Software
Agnieszka Ciborowska, Michael J. Decker, Kostadin Damevski
Bug localization aims to reduce debugging time by recommending program elements that are relevant for a specific bug report. To date, researchers have primarily addressed this prob…
Fast Changeset-based Bug Localization with BERT
Agnieszka Ciborowska, Kostadin Damevski
Automatically localizing software bugs to the changesets that induced them has the potential to improve software developer efficiency and to positively affect software quality. To…
Contemporary COBOL: Developers' Perspectives on Defects and Defect Location
Agnieszka Ciborowska, Aleksandar Chakarov, Rahul Pandita
Mainframe systems are facing a critical shortage of developer workforce as the current generation of COBOL developers retires. Furthermore, due to the limited availability of publi…