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Harald Gall
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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
10622019
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
9862009
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
8592007
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
7902003
Detection of logical coupling based on product release history
H Gall, K Hajek, M Jazayeri
Proceedings. International Conference on Software Maintenance (Cat. No …, 1998
6621998
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
5962015
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
5542011
CVS release history data for detecting logical couplings
H Gall, M Jazayeri, J Krajewski
Sixth International Workshop on Principles of Software Evolution, 2003 …, 2003
4282003
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
3592009
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
3382016
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
3132007
Predicting the fix time of bugs
E Giger, M Pinzger, H Gall
Proceedings of the 2nd international workshop on recommendation systems for …, 2010
3002010
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
2942009
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
2752019
Classifying change types for qualifying change couplings
B Fluri, HC Gall
14th IEEE International Conference on Program Comprehension (ICPC'06), 35-45, 2006
2652006
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
2542016
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
2372007
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
2231997
Visualizing multiple evolution metrics
M Pinzger, H Gall, M Fischer, M Lanza
Proceedings of the 2005 ACM symposium on Software visualization, 67-75, 2005
2222005
Analyzing and relating bug report data for feature tracking
M Fischer, M Pinzger, H Gall
WCRE 3, 90, 2003
2222003
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