| Automated program repair C Le Goues, M Pradel, A Roychoudhury Communications of the ACM 62 (12), 56-65, 2019 | 573 | 2019 |
| Deepbugs: A learning approach to name-based bug detection M Pradel, K Sen Proceedings of the ACM on Programming Languages 2 (OOPSLA), 1-25, 2018 | 478 | 2018 |
| Small world with high risks: A study of security threats in the npm ecosystem M Zimmermann, CA Staicu, C Tenny, M Pradel 28th USENIX Security symposium (USENIX security 19), 995-1010, 2019 | 426 | 2019 |
| Getafix: Learning to fix bugs automatically J Bader, A Scott, M Pradel, S Chandra Proceedings of the ACM on Programming Languages 3 (OOPSLA), 1-27, 2019 | 354 | 2019 |
| A survey of compiler testing J Chen, J Patra, M Pradel, Y Xiong, H Zhang, D Hao, L Zhang ACM Computing Surveys (CSUR) 53 (1), 1-36, 2020 | 328 | 2020 |
| Fuzz4all: Universal fuzzing with large language models CS Xia, M Paltenghi, J Le Tian, M Pradel, L Zhang Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 310 | 2024 |
| Everything old is new again: Binary security of {WebAssembly} D Lehmann, J Kinder, M Pradel 29th USENIX Security Symposium (USENIX Security 20), 217-234, 2020 | 246 | 2020 |
| Repairagent: An autonomous, LLM-based agent for program repair I Bouzenia, P Devanbu, M Pradel arXiv preprint arXiv:2403.17134, 2024 | 223 | 2024 |
| NL2Type: Inferring JavaScript function types from natural language information RS Malik, J Patra, M Pradel 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019 | 199 | 2019 |
| Automatic generation of object usage specifications from large method traces M Pradel, TR Gross 2009 IEEE/ACM International Conference on Automated Software Engineering …, 2009 | 199 | 2009 |
| Performance issues and optimizations in javascript: an empirical study M Selakovic, M Pradel Proceedings of the 38th International Conference on Software Engineering, 61-72, 2016 | 198 | 2016 |
| Typewriter: Neural type prediction with search-based validation M Pradel, G Gousios, J Liu, S Chandra Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 171 | 2020 |
| SYNODE: Understanding and Automatically Preventing Injection Attacks on NODE. JS. CA Staicu, M Pradel, B Livshits NDSS 1, 12-52, 2018 | 161 | 2018 |
| Freezing the Web: a study of {ReDoS} vulnerabilities in {JavaScript-based} web servers CA Staicu, M Pradel 27th USENIX security symposium (USENIX Security 18), 361-376, 2018 | 154 | 2018 |
| How many of all bugs do we find? a study of static bug detectors A Habib, M Pradel Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018 | 147 | 2018 |
| Wasabi: A framework for dynamically analyzing webassembly D Lehmann, M Pradel Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 137 | 2019 |
| An empirical study of real-world webassembly binaries: Security, languages, use cases A Hilbig, D Lehmann, M Pradel Proceedings of the web conference 2021, 2696-2708, 2021 | 135 | 2021 |
| CrystalBLEU: precisely and efficiently measuring the similarity of code A Eghbali, M Pradel Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 127 | 2022 |
| Statically checking API protocol conformance with mined multi-object specifications M Pradel, C Jaspan, J Aldrich, TR Gross 2012 34th International Conference on Software Engineering (ICSE), 925-935, 2012 | 124 | 2012 |
| A survey of dynamic analysis and test generation for JavaScript E Andreasen, L Gong, A Møller, M Pradel, M Selakovic, K Sen, CA Staicu ACM Computing Surveys (CSUR) 50 (5), 1-36, 2017 | 123 | 2017 |
Cristian-Alexandru StaicuCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
