Seuraa
Tobias Baum
Tobias Baum
FG SE, Leibniz Universität Hannover
Vahvistettu sähköpostiosoite verkkotunnuksessa inf.uni-hannover.de - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
712016
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
522016
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
382017
A survey on software coupling relations and tools
E Fregnan, T Baum, F Palomba, A Bacchelli
Information and Software Technology 107, 159-178, 2019
302019
On the need for a new generation of code review tools
T Baum, K Schneider
Product-Focused Software Process Improvement: 17th International Conference …, 2016
302016
The choice of code review process: A survey on the state of the practice
T Baum, H Leßmann, K Schneider
Product-Focused Software Process Improvement: 18th International Conference …, 2017
292017
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
282019
Associating working memory capacity and code change ordering with code review performance
T Baum, K Schneider, A Bacchelli
Empirical Software Engineering 24, 1762-1798, 2019
272019
Comparing pre commit reviews and post commit reviews using process simulation
T Baum, F Kortum, K Schneider, A Brack, J Schauder
Proceedings of the International Conference on Software and Systems Process …, 2016
252016
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
62020
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
52018
An industrial case study on shrinking code review changesets through remark prediction
T Baum, S Herbold, K Schneider
arXiv preprint arXiv:1812.09510, 2018
52018
ChangeViz: Enhancing the GitHub Pull Request Interface with Method Call Information
L Gasparini, E Fregnan, L Braz, T Baum, A Bacchelli
2021 Working Conference on Software Visualization (VISSOFT), 115-119, 2021
42021
Leveraging pre-commit hooks for context-sensitive checklists: a case study
T Baum
Software Engineering 2015 (SE 2015), 2015
42015
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
32019
Do explicit review strategies improve code review performance? Towards understanding the role of cognitive load
PW Gonçalves, E Fregnan, T Baum, K Schneider, A Bacchelli
Empirical Software Engineering 27 (4), 99, 2022
22022
Integrating GUI Mockups and User Stories.
O Liskin, T Baum
REFSQ Workshops, 226-227, 2015
12015
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Artikkelit 1–17