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Christopher Vendome
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Year
Deep learning code fragments for code clone detection
M White, M Tufano, C Vendome, D Poshyvanyk
Proceedings of the 31st IEEE/ACM international conference on automated …, 2016
7002016
Toward deep learning software repositories
M White, C Vendome, M Linares-Vásquez, D Poshyvanyk
2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 334-345, 2015
3872015
Automatically discovering, reporting and reproducing android application crashes
K Moran, M Linares-Vásquez, C Bernal-Cárdenas, C Vendome, ...
2016 IEEE international conference on software testing, verification and …, 2016
2152016
Automatically assessing code understandability: How far are we?
S Scalabrino, G Bavota, C Vendome, M Linares-Vásquez, D Poshyvanyk, ...
2017 32nd IEEE/ACM International Conference on Automated Software …, 2017
1282017
How developers detect and fix performance bottlenecks in android apps
M Linares-Vasquez, C Vendome, Q Luo, D Poshyvanyk
2015 IEEE international conference on software maintenance and evolution …, 2015
1202015
Enabling mutation testing for android apps
M Linares-Vásquez, G Bavota, M Tufano, K Moran, M Di Penta, ...
Proceedings of the 2017 11th Joint Meeting on Foundations of Software …, 2017
992017
Automatically assessing code understandability
S Scalabrino, G Bavota, C Vendome, M Linares-Vasquez, D Poshyvanyk, ...
IEEE Transactions on Software Engineering 47 (3), 595-613, 2019
892019
Crashscope: A practical tool for automated testing of android applications
K Moran, M Linares-Vásquez, C Bernal-Cárdenas, C Vendome, ...
2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017
812017
Can everyone use my app? an empirical study on accessibility in android apps
C Vendome, D Solano, S Liñán, M Linares-Vásquez
2019 IEEE International Conference on Software Maintenance and Evolution …, 2019
722019
License usage and changes: a large-scale study of java projects on github
C Vendome, M Linares-Vásquez, G Bavota, M Di Penta, D German, ...
2015 IEEE 23rd International Conference on Program Comprehension, 218-228, 2015
672015
Automatically documenting unit test cases
B Li, C Vendome, M Linares-Vásquez, D Poshyvanyk, NA Kraft
2016 IEEE international conference on software testing, verification and …, 2016
612016
MDroid+ a mutation testing framework for android
K Moran, M Tufano, C Bernal-Cárdenas, M Linares-Vásquez, G Bavota, ...
Proceedings of the 40th International Conference on Software Engineering …, 2018
522018
When and why developers adopt and change software licenses
C Vendome, M Linares-Vásquez, G Bavota, M Di Penta, DM German, ...
2015 IEEE international conference on software maintenance and evolution …, 2015
512015
License usage and changes: a large-scale study on github
C Vendome, G Bavota, MD Penta, M Linares-Vásquez, D German, ...
Empirical Software Engineering 22, 1537-1577, 2017
502017
Machine learning-based detection of open source license exceptions
C Vendome, M Linares-Vásquez, G Bavota, M Di Penta, D German, ...
2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE …, 2017
412017
A multi-study investigation into dead code
S Romano, C Vendome, G Scanniello, D Poshyvanyk
IEEE Transactions on Software Engineering 46 (1), 71-99, 2018
342018
Documenting database usages and schema constraints in database-centric applications
M Linares-Vásquez, B Li, C Vendome, D Poshyvanyk
Proceedings of the 25th International Symposium on Software Testing and …, 2016
322016
How do developers document database usages in source code?(n)
M Linares-Vásquez, B Li, C Vendome, D Poshyvanyk
2015 30th IEEE/ACM International Conference on Automated Software …, 2015
302015
A large scale study of license usage on github
C Vendome
2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 2 …, 2015
282015
Toward deep learning software repositories. In 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories
M White, C Vendome, M Linares-Vásquez, D Poshyvanyk
IEEE, 2015
262015
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Articles 1–20