2024 FORGE Planning to Guide LLM for Code Coverage Prediction Hridya Dhulipala, Aashish Yadavally, and Tien N. Nguyen 2024 Bib PDF @article{forge24, author = {Dhulipala, Hridya and Yadavally, Aashish and Nguyen, Tien N.}, title = {Planning to Guide LLM for Code Coverage Prediction}, booktitle = {{FORGE}}, pages = {To Appear}, publisher = {{ACM}}, year = {2024}, } FSE Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning Aashish Yadavally, Yi Li, and Tien N. Nguyen Proc. ACM Soft. Engg., 2024 Bib PDF @article{fse24, author = {Yadavally, Aashish and Li, Yi and Nguyen, Tien N.}, title = {Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning}, journal = {Proc. {ACM} Soft. Engg.}, volume = {1}, number = {{FSE}}, pages = {To Appear}, year = {2024}, } OOPSLA A Learning-Based Approach to Static Program Slicing Aashish Yadavally, Yi Li, Shaohua Wang, and Tien N. Nguyen Proc. ACM Program. Lang., 2024 Bib PDF @article{oopsla24, author = {Yadavally, Aashish and Li, Yi and Wang, Shaohua and Nguyen, Tien N.}, title = {A Learning-Based Approach to Static Program Slicing}, journal = {Proc. {ACM} Program. Lang.}, volume = {8}, number = {{OOPSLA}}, pages = {To Appear}, year = {2024}, } Learning to Recommend Exception Handling Yi Li, Aashish Yadavally, Yuchen Cai, Abhishek Mishra, Genesis Montejo, and Tien N. Nguyen In , 2024 Bib @inproceedings{oopsla24-2, author = {Li, Yi and Yadavally, Aashish and Cai, Yuchen and Mishra, Abhishek and Montejo, Genesis and Nguyen, Tien N.}, title = {Learning to Recommend Exception Handling}, journal = {Proc. {ACM} Program. Lang.}, volume = {8}, number = {{OOPSLA}}, pages = {To Appear}, year = {2024} } ICSE Programming Assistant for Exception Handling with CodeBERT Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo, and Tien N. Nguyen 2024 Bib @article{icse24, author = {Cai, Yuchen and Yadavally, Aashish and Mishra, Abhishek and Montejo, Genesis and Nguyen, Tien N.}, title = {Programming Assistant for Exception Handling with CodeBERT}, booktitle = {{ICSE}}, publisher = {{ACM}}, pages = {To Appear}, year = {2024} } 2023 ESEC/FSE Commit-Level, Neural Vulnerability Detection and Assessment Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, and Tien N. Nguyen In ESEC/SIGSOFT FSE, 2023 Bib PDF Slides @inproceedings{DBLP:conf/sigsoft/LiYZWN23, author = {Li, Yi and Yadavally, Aashish and Zhang, Jiaxing and Wang, Shaohua and Nguyen, Tien N.}, title = {Commit-Level, Neural Vulnerability Detection and Assessment}, booktitle = {{ESEC/SIGSOFT} {FSE}}, pages = {1024--1036}, publisher = {{ACM}}, year = {2023}, } DeMinify: Neural Variable Name Recovery and Type Inference Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, and Tien N. Nguyen In ESEC/SIGSOFT FSE, 2023 Bib PDF Slides @inproceedings{DBLP:conf/sigsoft/LiYZ0N23, author = {Li, Yi and Yadavally, Aashish and Zhang, Jiaxing and Wang, Shaohua and Nguyen, Tien N.}, title = {DeMinify: Neural Variable Name Recovery and Type Inference}, booktitle = {{ESEC/SIGSOFT} {FSE}}, pages = {758--770}, publisher = {{ACM}}, year = {2023}, } ICSE (Partial) Program Dependence Learning Aashish Yadavally, Tien N. Nguyen, Wenbo Wang, and Shaohua Wang In ICSE, 2023 🏆 Nominated for ACM SIGSOFT Distinguished Paper Award Bib PDF Slides @inproceedings{DBLP:conf/icse/YadavallyNWW23, author = {Yadavally, Aashish and Nguyen, Tien N. and Wang, Wenbo and Wang, Shaohua}, title = {(Partial) Program Dependence Learning}, booktitle = {{ICSE}}, pages = {2501--2513}, publisher = {{IEEE}}, year = {2023}, note = {ACM SIGSOFT Distinguished Paper Award}, nomination = {true} } DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection Wenbo Wang, Tien N. Nguyen, Shaohua Wang, Yi Li, Jiyuan Zhang, and Aashish Yadavally In ICSE, 2023 Bib PDF Slides @inproceedings{DBLP:conf/icse/WangNWLZY23, author = {Wang, Wenbo and Nguyen, Tien N. and Wang, Shaohua and Li, Yi and Zhang, Jiyuan and Yadavally, Aashish}, title = {DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection}, booktitle = {{ICSE}}, pages = {2249--2261}, publisher = {{IEEE}}, year = {2023}, } 2022 ASE A Hybrid Approach for Inference between Behavioral Exception API Documentation and Implementations, and Its Applications Hoan Anh Nguyen, Hung Dang Phan, Syeda Khairunnesa Samantha, Son Nguyen, Aashish Yadavally, Shaohua Wang, Hridesh Rajan, and Tien N. Nguyen In ASE, 2022 Bib PDF @inproceedings{DBLP:conf/kbse/NguyenPSNYWRN22, author = {Nguyen, Hoan Anh and Phan, Hung Dang and Samantha, Syeda Khairunnesa and Nguyen, Son and Yadavally, Aashish and Wang, Shaohua and Rajan, Hridesh and Nguyen, Tien N.}, title = {A Hybrid Approach for Inference between Behavioral Exception {API} Documentation and Implementations, and Its Applications}, booktitle = {{ASE}}, pages = {2:1--2:13}, publisher = {{ACM}}, year = {2022}, } Next Syntactic-Unit Code Completion and Applications Anh Tuan Nguyen, Aashish Yadavally, and Tien N. Nguyen In ASE, 2022 Bib PDF Slides @inproceedings{DBLP:conf/kbse/0001YN22, author = {Nguyen, Anh Tuan and Yadavally, Aashish and Nguyen, Tien N.}, title = {Next Syntactic-Unit Code Completion and Applications}, booktitle = {{ASE}}, pages = {180:1--180:5}, publisher = {{ACM}}, year = {2022}, } SANER Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering Applications Thanh V. Nguyen, Aashish Yadavally, and Tien N. Nguyen In SANER, 2022 🏆 IEEE TCSE Distinguished Paper Award Bib PDF @inproceedings{DBLP:conf/wcre/NguyenYN22, author = {Nguyen, Thanh V. and Yadavally, Aashish and Nguyen, Tien N.}, title = {Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering Applications}, booktitle = {{SANER}}, pages = {502--513}, publisher = {{IEEE}}, year = {2022}, note = {IEEE TCSE Distinguished Paper Award}, award = {true} } 2020 MS Thesis An Exploration of Machine Learning-Based Day-Ahead Solar Irradiance Forecasting Methodologies Aashish Yadavally 2020 Bib PDF @article{ms-thesis, author = {Yadavally, Aashish}, title = {An Exploration of Machine Learning-Based Day-Ahead Solar Irradiance Forecasting Methodologies}, publisher = {{ProQuest}}, year = {2020}, }