Martin Obaidi, M. Sc.
© Fachgebiet Software Engineering
30167 Hannover
© Fachgebiet Software Engineering
Forschungsinteressen und -bereiche
- Kommunikation und Interaktionen in Entwicklerteams
- Stimmungsanalyse in Entwicklerteams
- Anwendungen vom maschinellen Lernen in Software Engineering
PUBLIKATIONEN
Anders M, Obaidi M, Paech B, Schneider K. A Study on the Mental Models of Users Concerning Existing Software. in Gervasi V, Vogelsang A, Hrsg., Requirements Engineering: Foundation for Software Quality - 28th International Working Conference, Proceedings. Springer, Cham. 2022. S. 235-250. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Herrmann M, Obaidi M, Chazette L, Klünder J. On the subjectivity of emotions in software projects: How reliable are pre-labeled data sets for sentiment analysis? Journal of Systems and Software. 2022 Nov;193. 111448.
doi.org/10.48550/arXiv.2207.07954
,Herrmann M, Obaidi M, Klünder J. SEnti-Analyzer: Joint Sentiment Analysis For Text-Based and Verbal Communication in Software Projects. 2022.
Obaidi M, Nagel L, Specht A, Klünder J. Sentiment analysis tools in software engineering: A systematic mapping study. Information and Software Technology. 2022 Nov;151. 107018.
Schroth L, Obaidi M, Specht A, Klünder J. On the Potentials of Realtime Sentiment Analysis on Text-Based Communication in Software Projects. in Bernhaupt R, Ardito C, Sauer S, Hrsg., Human-Centered Software Engineering. Cham: Springer International Publishing AG. 2022. S. 90-109. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Obaidi M, Klünder J. Development and application of sentiment analysis tools in software engineering: A systematic literature review. in Proceedings of EASE 2021: Evaluation and Assessment in Software Engineering. Association for Computing Machinery (ACM). 2021. S. 80-89. (ACM International Conference Proceeding Series).
