Takip et
Denys Poshyvanyk
Denys Poshyvanyk
Chancellor Professor of Computer Science, William & Mary
cs.wm.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
8152013
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
7752016
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
6482007
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
5572019
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
4602011
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
4442013
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
4112019
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
4072015
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
4042015
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
3722008
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
3512007
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
3482013
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
3372014
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
3312013
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
3162014
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
3072007
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
2852017
Using information retrieval based coupling measures for impact analysis
D Poshyvanyk, A Marcus, R Ferenc, T Gyimóthy
Empirical software engineering 14, 5-32, 2009
2842009
Studying the usage of text-to-text transfer transformer to support code-related tasks
A Mastropaolo, S Scalabrino, N Cooper, DN Palacio, D Poshyvanyk, ...
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
2772021
On learning meaningful code changes via neural machine translation
M Tufano, J Pantiuchina, C Watson, G Bavota, D Poshyvanyk
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
2752019
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Makaleler 1–20