| API code recommendation using statistical learning from fine-grained changes AT Nguyen, M Hilton, M Codoban, HA Nguyen, L Mast, E Rademacher, ... Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016 | 214 | 2016 |
| How do centralized and distributed version control systems impact software changes? C Brindescu, M Codoban, S Shmarkatiuk, D Dig Proceedings of the 36th international conference on Software Engineering …, 2014 | 156 | 2014 |
| Mining fine-grained code changes to detect unknown change patterns S Negara, M Codoban, D Dig, RE Johnson Proceedings of the 36th International Conference on Software Engineering …, 2014 | 153 | 2014 |
| Software history under the lens: A study on why and how developers examine it M Codoban, SS Ragavan, D Dig, B Bailey 2015 IEEE International Conference on Software Maintenance and Evolution …, 2015 | 85 | 2015 |
| Version control systems: An information foraging perspective SS Ragavan, M Codoban, D Piorkowski, D Dig, M Burnett IEEE Transactions on Software engineering 47 (8), 1644-1655, 2019 | 9 | 2019 |
| Mining continuous code changes to detect frequent program transformations S Negara, M Codoban, D Dig, RE Johnson | 8 | 2013 |
| iProblems-an integrated instrument for reporting design flaws, vulnerabilities and defects M Codoban, C Marinescu, R Marinescu 2011 18th Working Conference on Reverse Engineering, 437-438, 2011 | 6 | 2011 |
| Should we beware the inheritance? An empirical study on the evolution of seven open source systems C Marinescu, M Codoban 2014 9th International Conference on Software Engineering and Applications …, 2014 | 3 | 2014 |
| Том. 13-18-November-2016. FSE 2016-Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering.-Сер. FSE 2016-Proceedings of the … S Apel, A Stahlbauer, D Beyer, V Mordan, V Mutilin, Y Kang, Y Zhou, H Xu, ... | | 2016 |
| A Comparative Study on How SVN and Git Affect Software Changes M Codoban | | 2015 |
| Should We Beware the Inheritance? C Marinescu, M Codoban | | 2014 |
| An Explorative Study of Test-Driven Development Practices M Hilton, H Mc Donald, S Mc Donald, N Nelson, M Codoban, D Dig | | |
| Using Change Context with Statistical Learning for API Code Recommendation A Nguyen, M Hilton, M Codoban, H Nguyen, L Mast, E Rademacher, ... | | |
| “Tedious and hideous”: How Software Developers struggle with Software History M Codoban, SS Ragavan, D Dig, B Bailey | | |
| Croder: Bringing the Knowledge of the Crowds into the IDE S Okur, M Codoban, C Brindescu, K Lee, S Yuan | | |
| Visualizing the TDD Cycle M Hilton, M Codoban, C Brindescu | | |
Danny DigAssociate Professor, CS, University of ColoradoVerified email at colorado.edu
