Cross-project defect prediction: a large scale experiment on data vs. domain vs. process T Zimmermann, N Nagappan, H Gall, E Giger, B Murphy Proceedings of the 7th joint meeting of the European software engineering …, 2009 | 953 | 2009 |
Software engineering for machine learning: A case study S Amershi, A Begel, C Bird, R DeLine, H Gall, E Kamar, N Nagappan, ... 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 913 | 2019 |
Change distilling: Tree differencing for fine-grained source code change extraction B Fluri, M Wursch, M PInzger, H Gall IEEE Transactions on software engineering 33 (11), 725-743, 2007 | 820 | 2007 |
Populating a release history database from version control and bug tracking systems M Fischer, M Pinzger, H Gall International Conference on Software Maintenance, 2003. ICSM 2003 …, 2003 | 779 | 2003 |
Detection of logical coupling based on product release history H Gall, K Hajek, M Jazayeri Proceedings. International Conference on Software Maintenance (Cat. No …, 1998 | 650 | 1998 |
How can i improve my app? classifying user reviews for software maintenance and evolution S Panichella, A Di Sorbo, E Guzman, CA Visaggio, G Canfora, HC Gall 2015 IEEE international conference on software maintenance and evolution …, 2015 | 552 | 2015 |
Don't touch my code! Examining the effects of ownership on software quality C Bird, N Nagappan, B Murphy, H Gall, P Devanbu Proceedings of the 19th ACM SIGSOFT symposium and the 13th European …, 2011 | 525 | 2011 |
CVS release history data for detecting logical couplings H Gall, M Jazayeri, J Krajewski Sixth International Workshop on Principles of Software Evolution, 2003 …, 2003 | 427 | 2003 |
Does distributed development affect software quality? an empirical case study of windows vista C Bird, N Nagappan, P Devanbu, H Gall, B Murphy Communications of the ACM 52 (8), 85-93, 2009 | 351 | 2009 |
What would users change in my app? summarizing app reviews for recommending software changes A Di Sorbo, S Panichella, CV Alexandru, J Shimagaki, CA Visaggio, ... Proceedings of the 2016 24th ACM SIGSOFT international symposium on …, 2016 | 321 | 2016 |
Do code and comments co-evolve? on the relation between source code and comment changes B Fluri, M Wursch, HC Gall 14th Working conference on reverse engineering (WCRE 2007), 70-79, 2007 | 295 | 2007 |
Predicting the fix time of bugs E Giger, M Pinzger, H Gall Proceedings of the 2nd international workshop on recommendation systems for …, 2010 | 294 | 2010 |
Putting it all together: Using socio-technical networks to predict failures C Bird, N Nagappan, H Gall, B Murphy, P Devanbu 2009 20th International Symposium on Software Reliability Engineering, 109-119, 2009 | 288 | 2009 |
Classifying change types for qualifying change couplings B Fluri, HC Gall 14th IEEE International Conference on Program Comprehension (ICPC'06), 35-45, 2006 | 262 | 2006 |
Combining text mining and data mining for bug report classification Y Zhou, Y Tong, R Gu, H Gall Journal of Software: Evolution and Process 28 (3), 150-176, 2016 | 239 | 2016 |
Generation of business process models for object life cycle compliance JM Küster, K Ryndina, H Gall International Conference on Business Process Management, 165-181, 2007 | 231 | 2007 |
Software engineering for machine learning: a case study. In 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) S Amershi, A Begel, C Bird, R DeLine, H Gall, E Kamar, N Nagappan, ... IEEE, 2019 | 226 | 2019 |
Software evolution observations based on product release history H Gall, M Jazayeri, RR Klosch, G Trausmuth 1997 Proceedings International Conference on Software Maintenance, 160-166, 1997 | 222 | 1997 |
Visualizing multiple evolution metrics M Pinzger, H Gall, M Fischer, M Lanza Proceedings of the 2005 ACM symposium on Software visualization, 67-75, 2005 | 217 | 2005 |
Analyzing and relating bug report data for feature tracking M Fischer, M Pinzger, H Gall WCRE 3, 90, 2003 | 216 | 2003 |