| Feature location in source code: a taxonomy and survey B Dit, M Revelle, M Gethers, D Poshyvanyk Journal of software: Evolution and Process 25 (1), 53-95, 2013 | 796 | 2013 |
| 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 | 704 | 2016 |
| Feature location using probabilistic ranking of methods based on execution scenarios and information retrieval D Poshyvanyk, YG Guéhéneuc, A Marcus, G Antoniol, V Rajlich IEEE Transactions on Software Engineering 33 (6), 420-432, 2007 | 639 | 2007 |
| SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair Z Chen, S Kommrusch, M Tufano, LN Pouchet, D Poshyvanyk, ... IEEE Transactions on Software Engineering 47 (9), 1943-1959, 2019 | 467 | 2019 |
| Portfolio: finding relevant functions and their usage C McMillan, M Grechanik, D Poshyvanyk, Q Xie, C Fu Proceedings of the 33rd International Conference on Software Engineering …, 2011 | 439 | 2011 |
| How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms A Panichella, B Dit, R Oliveto, M Di Penta, D Poshyvanyk, A De Lucia 2013 35th International conference on software engineering (ICSE), 522-531, 2013 | 422 | 2013 |
| 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 | 392 | 2015 |
| When and why your code starts to smell bad M Tufano, F Palomba, G Bavota, R Oliveto, M Di Penta, A De Lucia, ... 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015 | 382 | 2015 |
| Using the conceptual cohesion of classes for fault prediction in object-oriented systems A Marcus, D Poshyvanyk, R Ferenc IEEE Transactions on Software Engineering 34 (2), 287-300, 2008 | 367 | 2008 |
| Combining formal concept analysis with information retrieval for concept location in source code D Poshyvanyk, A Marcus 15th IEEE International Conference on Program Comprehension (ICPC'07), 37-48, 2007 | 348 | 2007 |
| Api change and fault proneness: A threat to the success of android apps M Linares-Vásquez, G Bavota, C Bernal-Cárdenas, M Di Penta, R Oliveto, ... Proceedings of the 2013 9th joint meeting on foundations of software …, 2013 | 337 | 2013 |
| An empirical study on learning bug-fixing patches in the wild via neural machine translation M Tufano, C Watson, G Bavota, MD Penta, M White, D Poshyvanyk ACM Transactions on Software Engineering and Methodology (TOSEM) 28 (4), 1-29, 2019 | 334 | 2019 |
| Detecting bad smells in source code using change history information F Palomba, G Bavota, M Di Penta, R Oliveto, A De Lucia, D Poshyvanyk 2013 28th IEEE/ACM International Conference on Automated Software …, 2013 | 325 | 2013 |
| Mining version histories for detecting code smells F Palomba, G Bavota, M Di Penta, R Oliveto, D Poshyvanyk, A De Lucia IEEE Transactions on Software Engineering 41 (5), 462-489, 2014 | 317 | 2014 |
| Mining energy-greedy api usage patterns in android apps: an empirical study M Linares-Vásquez, G Bavota, C Bernal-Cárdenas, R Oliveto, M Di Penta, ... Proceedings of the 11th working conference on mining software repositories, 2-11, 2014 | 306 | 2014 |
| Feature location via information retrieval based filtering of a single scenario execution trace D Liu, A Marcus, D Poshyvanyk, V Rajlich Proceedings of the 22nd IEEE/ACM international conference on Automated …, 2007 | 305 | 2007 |
| Using information retrieval based coupling measures for impact analysis D Poshyvanyk, A Marcus, R Ferenc, T Gyimóthy Empirical software engineering 14, 5-32, 2009 | 275 | 2009 |
| When and why your code starts to smell bad (and whether the smells go away) M Tufano, F Palomba, G Bavota, R Oliveto, M Di Penta, A De Lucia, ... IEEE Transactions on Software Engineering 43 (11), 1063-1088, 2017 | 261 | 2017 |
| On the equivalence of information retrieval methods for automated traceability link recovery R Oliveto, M Gethers, D Poshyvanyk, A De Lucia 2010 IEEE 18th International Conference on Program Comprehension, 68-71, 2010 | 258 | 2010 |
| Machine learning-based prototyping of graphical user interfaces for mobile apps K Moran, C Bernal-Cárdenas, M Curcio, R Bonett, D Poshyvanyk IEEE Transactions on Software Engineering 46 (2), 196-221, 2018 | 244 | 2018 |
Mario Linares-VásquezAssociate Professor, Universidad de los Andes; Fuerza Aérea Colombiana在 uniandes.edu.co 的电子邮件经过验证
