Jeremy Lacomis

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Claire Le GouesCarnegie Mellon UniversityVerified email at cs.cmu.edu
Edward J. SchwartzCarnegie Mellon UniversityVerified email at cmu.edu
Bogdan VasilescuAssociate Professor at Carnegie Mellon UniversityVerified email at cmu.edu
Graham NeubigCarnegie Mellon University, Inspired CognitionVerified email at cs.cmu.edu
Pengcheng YinGoogleVerified email at google.com
Miltiadis AllamanisGoogle Deep MindVerified email at google.com
Qibin ChenApple AI/MLVerified email at apple.com
Stephanie ForrestProfessor of Computer Science, Univ. of New MexicoVerified email at santafe.edu
Westley WeimerProfessor Computer Science, University of MichiganVerified email at umich.edu
Alexander ShypulaMITVerified email at mit.edu
Christopher Steven TimperleySystems Scientist, Carnegie Mellon UniversityVerified email at cmu.edu
Afsoon AfzalNuro IncVerified email at nuro.ai
Jonathan DornUniversity of VirginiaVerified email at virginia.edu

Jeremy Lacomis

Ph.D. Student, Carnegie Mellon University

Verified email at cmu.edu - Homepage

SBSE Software Maintenance Automated Program Repair Reverse-Engineering


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Dire: A neural approach to decompiled identifier naming J Lacomis, P Yin, E Schwartz, M Allamanis, C Le Goues, G Neubig, ... 2019 34th IEEE/ACM International Conference on Automated Software …, 2019	77	2019
Meaningful Variable Names for Decompiled Code: A Machine Translation Approach A Jaffe, J Lacomis, EJ Schwartz, C Le Goues, B Vasilescu International Conference on Program Comprehension (ICPC), 20-30, 2018	46	2018
Automatically exploring tradeoffs between software output fidelity and energy costs J Dorn, J Lacomis, W Weimer, S Forrest IEEE Transactions on Software Engineering 45 (3), 219-236, 2017	17	2017
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning Q Chen, J Lacomis, EJ Schwartz, G Neubig, B Vasilescu, C Le Goues arXiv preprint arXiv:2112.02650, 2021	13	2021
Augmenting decompiler output with learned variable names and types Q Chen, J Lacomis, EJ Schwartz, C Le Goues, G Neubig, B Vasilescu 31st USENIX Security Symposium (USENIX Security 22), 4327-4343, 2022	6	2022
Learning to Superoptimize Real-world Programs A Shypula, P Yin, J Lacomis, C Le Goues, E Schwartz, G Neubig arXiv preprint arXiv:2109.13498, 2021	5	2021
A Turing Test for Genetic Improvement A Afzal, J Lacomis, C Le Goues, CS Timperley Genetic Improvement Workshop, 17-18, 2018	2	2018
Statistical Machine Translation is a Natural Fit for Automatic Identifier Renaming in Software Source Code J Lacomis, A Jaffe, EJ Schwartz, C Le Goues, B Vasilescu Statistical Modeling of Natural Software Corpora, 2018 AAAI Workshop, 2018	1	2018
DIRE and its Data: Neural Decompiled Variable Renamings with Respect to Software Class L Dramko, J Lacomis, P Yin, E Schwartz, M Allamanis, G Neubig, ... ACM Transactions on Software Engineering and Methodology 32 (2), 1-34, 2023		2023
2023 Theses by Author JT BLANE, P CASANOVA, V DWIVEDI, J LACOMIS, T MAGELINSKI
Automatically Annotating Decompiled Code with Meaningful Names and Type J Lacomis
Automatically Reducing Energy Consumption of Software J Lacomis, J Dorn, W Weimer, S Forrest

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