Tobias Baum
Title
Cited by
Cited by
Year
Factors influencing code review processes in industry
T Baum, O Liskin, K Niklas, K Schneider
Proceedings of the 2016 24th acm sigsoft international symposium on …, 2016
382016
A faceted classification scheme for change-based industrial code review processes
T Baum, O Liskin, K Niklas, K Schneider
2016 IEEE International Conference on Software Quality, Reliability and …, 2016
332016
On the Optimal Order of Reading Source Code Changes for Review
T Baum, K Schneider, A Bacchelli
33rd IEEE International Conference on Software Maintenance and Evolution (ICSME), 2017
222017
Comparing pre‐commit reviews and post‐commit reviews using process simulation
T Baum, F Kortum, K Schneider, A Brack, J Schauder
Journal of Software: Evolution and Process 29 (11), e1865, 2017
162017
The choice of code review process: A survey on the state of the practice
T Baum, H Leßmann, K Schneider
International Conference on Product-Focused Software Process Improvement …, 2017
132017
Test-driven code review: an empirical study
D Spadini, F Palomba, T Baum, S Hanenberg, M Bruntink, A Bacchelli
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
112019
On the need for a new generation of code review tools
T Baum, K Schneider
International Conference on Product-Focused Software Process Improvement …, 2016
112016
A survey on software coupling relations and tools
E Fregnan, T Baum, F Palomba, A Bacchelli
Information and Software Technology 107, 159-178, 2019
102019
Associating working memory capacity and code change ordering with code review performance
T Baum, K Schneider, A Bacchelli
Empirical Software Engineering 24 (4), 1762-1798, 2019
62019
Leveraging pre-commit hooks for context-sensitive checklists: a case study
T Baum
Software Engineering 2015 (SE 2015), 2015
32015
Cognitive-support code review tools: improved efficiency of change-based code review by guiding and assisting reviewers
T Baum
Hannover: Institutionelles Repositorium der Universität Hannover, 2019
12019
A multi-objective anytime rule mining system to ease iterative feedback from domain experts
T Baum, S Herbold, K Schneider
arXiv preprint arXiv:1812.09746, 2018
12018
An industrial case study on shrinking code review changesets through remark prediction
T Baum, S Herbold, K Schneider
arXiv preprint arXiv:1812.09510, 2018
12018
Integrating GUI Mockups and User Stories.
O Liskin, T Baum
REFSQ Workshops, 226-227, 2015
12015
Do Explicit Review Strategies Improve Code Review Performance?
PW Gonçalves, E Fregnan, T Baum, K Schneider, A Bacchelli
Proceedings of the 17th International Conference on Mining Software …, 2020
2020
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Articles 1–15