| 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 | 92 | 2016 |
| 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 | 68 | 2016 |
| 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 | 55 | 2017 |
| On the need for a new generation of code review tools T Baum, K Schneider Product-Focused Software Process Improvement: 17th International Conference …, 2016 | 46 | 2016 |
| 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 | 42 | 2019 |
| A survey on software coupling relations and tools E Fregnan, T Baum, F Palomba, A Bacchelli Information and Software Technology 107, 159-178, 2019 | 42 | 2019 |
| 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 | 36 | 2017 |
| 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 | 34 | 2016 |
| 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 | 33 | 2019 |
| 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 | 16 | 2022 |
| 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 | 13 | 2020 |
| 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 | 9 | 2021 |
| GIMO: A multi-objective anytime rule mining system to ease iterative feedback from domain experts T Baum, S Herbold, K Schneider Expert Systems with Applications: X 8, 100040, 2020 | 6 | 2020 |
| Test-driven code review: an empirical study. In 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE) D Spadini, F Palomba, T Baum, S Hanenberg, M Bruntink, A Bacchelli IEEE, 1061ś1072. https://doi. org/10.1109/ICSE, 2019 | 6 | 2019 |
| 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 | 5 | 2019 |
| An industrial case study on shrinking code review changesets through remark prediction T Baum, S Herbold, K Schneider arXiv preprint arXiv:1812.09510, 2018 | 4 | 2018 |
| Leveraging pre-commit hooks for context-sensitive checklists: a case study T Baum Software Engineering 2015 (SE 2015), 2015 | 3 | 2015 |
| Integrating GUI Mockups and User Stories. O Liskin, T Baum REFSQ Workshops, 226-227, 2015 | 1 | 2015 |
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