software engineering

Compilable Neural Code Generation with Compiler Feedback ACL 2022 Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code IJCAI 2022 Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5 EMNLP 2022 Impact of Evaluation Methodologies on Code Summarization ACL 2022 Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract) AAAI 2022 Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors ACL 2021 Dialogue Disentanglement in Software Engineering: How Far are We? IJCAI 2021 Discourse-Driven Integrated Dialogue Development Environment for Open-Domain Dialogue Systems EMNLP 2021 Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing EMNLP 2021 How could Neural Networks understand Programs? ICML 2021 Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy EMNLP 2021 Associating Natural Language Comment and Source Code Entities AAAI 2020 AutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises AACL 2020 Beyond Accuracy: Behavioral Testing of NLP Models with CheckList ACL 2020 Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks NeurIPS 2020 User-centered & Robust NLP OSS: Lessons Learned from Developing & Maintaining RSMTool EMNLP 2020 DeBGUer: A Tool for Bug Prediction and Diagnosis AAAI 2019 SemEval-2017 Task 11: End-User Development using Natural Language SemEval 2017 Hidden Technical Debt in Machine Learning Systems NeurIPS 2015 Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically ICML 2013 Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development NeurIPS 2010 WEKA−Experiences with a Java Open-Source Project JMLR 2010 Mining Internet-Scale Software Repositories NeurIPS 2007