Mihai Codoban
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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
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
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
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
Mining continuous code changes to detect frequent program transformations
S Negara, M Codoban, D Dig, RE Johnson
Technical Report University of Illinois-Urbana Champaign, 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
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
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, ...
A Comparative Study on How SVN and Git Affect Software Changes
M Codoban
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
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
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