Boa: A language and infrastructure for analyzing ultra-large-scale software repositories R Dyer, HA Nguyen, H Rajan, TN Nguyen Proceedings of the 2013 International Conference on Software Engineering …, 2013 | 508 | 2013 |
Modular software design with crosscutting interfaces WG Griswold, M Shonle, K Sullivan, Y Song, N Tewari, Y Cai, H Rajan IEEE software 23 (1), 51-60, 2006 | 332 | 2006 |
A comprehensive study on deep learning bug characteristics MJ Islam, G Nguyen, R Pan, H Rajan Proceedings of the 2019 27th ACM joint meeting on european software …, 2019 | 289 | 2019 |
Information hiding interfaces for aspect-oriented design K Sullivan, WG Griswold, Y Song, Y Cai, M Shonle, N Tewari, H Rajan ACM SIGSOFT Software Engineering Notes 30 (5), 166-175, 2005 | 249 | 2005 |
Are code examples on an online q&a forum reliable? a study of api misuse on stack overflow T Zhang, G Upadhyaya, A Reinhardt, H Rajan, M Kim Proceedings of the 40th international conference on software engineering …, 2018 | 184 | 2018 |
A study of repetitiveness of code changes in software evolution HA Nguyen, AT Nguyen, TT Nguyen, TN Nguyen, H Rajan 2013 28th IEEE/ACM International Conference on Automated Software …, 2013 | 172 | 2013 |
Classpects: unifying aspect-and object-oriented language design H Rajan, KJ Sullivan Software Engineering, 2005. ICSE 2005. Proceedings. 27th International …, 2005 | 159 | 2005 |
Ptolemy: A language with quantified, typed events H Rajan, GT Leavens European Conference on Object-Oriented Programming, 155-179, 2008 | 155 | 2008 |
Mining billions of AST nodes to study actual and potential usage of Java language features R Dyer, H Rajan, HA Nguyen, TN Nguyen Proceedings of the 36th International Conference on Software Engineering …, 2014 | 151 | 2014 |
Eos: instance-level aspects for integrated system design H Rajan, K Sullivan ACM SIGSOFT Software Engineering Notes 28 (5), 297-306, 2003 | 133 | 2003 |
Boa: Ultra-large-scale software repository and source-code mining R Dyer, HA Nguyen, H Rajan, TN Nguyen ACM Transactions on Software Engineering and Methodology (TOSEM) 25 (1), 1-34, 2015 | 127 | 2015 |
Repairing deep neural networks: Fix patterns and challenges MJ Islam, R Pan, G Nguyen, H Rajan Proceedings of the ACM/IEEE 42nd international conference on software …, 2020 | 121 | 2020 |
Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness S Biswas, H Rajan Proceedings of the 28th ACM joint meeting on European software engineering …, 2020 | 96 | 2020 |
Mining preconditions of APIs in large-scale code corpus HA Nguyen, R Dyer, TN Nguyen, H Rajan Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations …, 2014 | 95 | 2014 |
Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline S Biswas, H Rajan Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 88 | 2021 |
Modular aspect-oriented design with XPIs K Sullivan, WG Griswold, H Rajan, Y Song, Y Cai, M Shonle, N Tewari ACM Transactions on Software Engineering and Methodology (TOSEM) 20 (2), 5, 2010 | 75 | 2010 |
Deeplocalize: Fault localization for deep neural networks M Wardat, W Le, H Rajan 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 73 | 2021 |
Aspect language features for concern coverage profiling H Rajan, K Sullivan Proceedings of the 4th international conference on Aspect-oriented software …, 2005 | 66 | 2005 |
Slede: a domain-specific verification framework for sensor network security protocol implementations Y Hanna, H Rajan, W Zhang Proceedings of the first ACM conference on Wireless network security, 109-118, 2008 | 59 | 2008 |
The art and practice of data science pipelines: A comprehensive study of data science pipelines in theory, in-the-small, and in-the-large S Biswas, M Wardat, H Rajan Proceedings of the 44th International Conference on Software Engineering …, 2022 | 57 | 2022 |