| The Fact Selection Problem in LLM-Based Program Repair N Parasaram, H Yan, B Yang, Z Flahy, A Qudsi, D Ziaber, E Barr, ... arXiv preprint arXiv:2404.05520, 2024 | 1 | 2024 |
| A Comprehensive Study of the Capabilities of Large Language Models for Vulnerability Detection B Steenhoek, MM Rahman, MK Roy, MS Alam, ET Barr, W Le arXiv preprint arXiv:2403.17218, 2024 | 3 | 2024 |
| Summary of the 1st Interpretability and Robustness in Neural Software Engineering (InteNSE 2023) R Jabbarvand, S Tizpaz-Niari, ET Barr, S Chandra ACM SIGSOFT Software Engineering Notes 49 (1), 30-33, 2023 | | 2023 |
| Precise Data-Driven Approximation for Program Analysis via Fuzzing N Parasaram, ET Barr, S Mechtaev, M Böhme 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 2 | 2023 |
| Epicure: Distilling Sequence Model Predictions into Patterns M Allamanis, ET Barr arXiv preprint arXiv:2308.08203, 2023 | | 2023 |
| Software Product Line Engineering via Software Transplantation LO Souza, ET Barr, J Petke, ES Almeida, PA Neto arXiv preprint arXiv:2307.10896, 2023 | | 2023 |
| CodeGrid: A Grid Representation of Code AK Kaboré, ET Barr, J Klein, TF Bissyandé Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 1 | 2023 |
| June: A Type Testability Transformation for Improved ATG Performance D Bruce, D Kelly, H Menendez, ET Barr, D Clark Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | | 2023 |
| Program transformation landscapes for automated program modification using Gin J Petke, B Alexander, ET Barr, AEI Brownlee, M Wagner, DR White Empirical Software Engineering 28 (4), 104, 2023 | 6 | 2023 |
| Model validation using mutated training labels: an exploratory study JM Zhang, M Harman, B Guedj, ET Barr, J Shawe-Taylor Neurocomputing 539, 126116, 2023 | 4 | 2023 |
| Rete: Learning namespace representation for program repair N Parasaram, ET Barr, S Mechtaev 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 7 | 2023 |
| Continuously Accelerating Research E Barr, J Bell, M Hilton, S Mechtaev, C Timperley 2023 IEEE/ACM 45th International Conference on Software Engineering: New …, 2023 | 1 | 2023 |
| Aide-mémoire: Improving a Project’s Collective Memory via Pull Request–Issue Links PP Pârţachi, DR White, ET Barr ACM Transactions on Software Engineering and Methodology 32 (2), 1-36, 2023 | 3 | 2023 |
| Improving few-shot prompts with relevant static analysis products T Ahmed, KS Pai, P Devanbu, ET Barr arXiv preprint arXiv:2304.06815, 2023 | 27* | 2023 |
| Modus: a Datalog dialect for building container images C Tomy, T Wang, ET Barr, S Mechtaev Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 2 | 2022 |
| PopArt: Ranked Testing Efficiency IP Bousy, ET Barr, D Clark IEEE Transactions on Software Engineering 49 (4), 2221-2238, 2022 | | 2022 |
| Is Surprisal in Issue Trackers Actionable? J Caddy, M Wagner, C Treude, ET Barr, M Allamanis arXiv preprint arXiv:2204.07363, 2022 | 2 | 2022 |
| High assurance software for financial regulation and business platforms S Goldbaum, A Mihaly, T Ellison, ET Barr, M Marron International Conference on Verification, Model Checking, and Abstract …, 2022 | 3 | 2022 |
| Trident: Controlling side effects in automated program repair N Parasaram, ET Barr, S Mechtaev IEEE Transactions on Software Engineering 48 (12), 4717-4732, 2021 | 5 | 2021 |
| Artefact relation graphs for unit test reuse recommendation R White, J Krinke, ET Barr, F Sarro, C Ragkhitwetsagul 2021 14th IEEE Conference on Software Testing, Verification and Validation …, 2021 | 4 | 2021 |
Prem DevanbuDistinguished Research Professor (பேராசிரியர்), ACM Fellow在 ucdavis.edu 的电子邮件经过验证
