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Recovering clear, natural identifiers from obfuscated JS names.

, , and . ESEC/SIGSOFT FSE, page 683-693. ACM, (2017)

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What the Fork: A Study of Inefficient and Efficient Forking Practices in Social Coding, , and . Proceedings of the 27th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT symposium on the Foundations of Software Engineering, page 350--361. (August 2019)How to Not Get Rich: An Empirical Study of Donations in Op\euron \$our¢e, , , and . 42nd International Conference on Software Maintenance, page ???. (July 2020)Gender, Representation and Online Participation: A Quantitative Study., , and . Interact. Comput., 26 (5): 488-511 (2014)Augmenting Decompiler Output with Learned Variable Names and Types., , , , , and . CoRR, (2021)Software developers are humans, too!. CSCW Companion, page 97-100. ACM, (2014)The Babel of Software Development: Linguistic Diversity in Open Source., , and . SocInfo, volume 8238 of Lecture Notes in Computer Science, page 391-404. Springer, (2013)Statistical Machine Translation Is a Natural Fit for Automatic Identifier Renaming in Software Source Code., , , , and . AAAI Workshops, volume WS-18 of AAAI Technical Report, page 771-774. AAAI Press, (2018)One size does not fit all: an empirical study of containerized continuous deployment workflows., , , and . ESEC/SIGSOFT FSE, page 295-306. ACM, (2018)VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning., , , , , and . ICSE, page 2327-2339. ACM, (2022)Exploring differences and commonalities between feature flags and configuration options., , , and . ICSE (SEIP), page 233-242. ACM, (2020)