Martin Obaidi, M. Sc.
© Fachgebiet Software Engineering
Martin Obaidi, M. Sc.
Telefon
Adresse
Welfengarten 1
30167 Hannover
30167 Hannover
Gebäude
Raum
© Fachgebiet Software Engineering
Martin Obaidi, M. Sc.
Forschungsinteressen und -bereiche
- Erklärbarkeit in Softwaresystemen
- Kommunikation und Interaktionen in Entwicklerteams
- Stimmungsanalyse in Entwicklerteams
- Anwendungen vom maschinellen Lernen in Software Engineering
Publikationen
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? (Summary). in Engels G, Hebig R, Tichy M, Hrsg., Software Engineering 2023 : Fachtagung des GI-Fachbereichs Softwaretechnik. Gesellschaft fur Informatik (GI). 2023. S. 67-68. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)).
Shi J, Karras O, Obaidi M, Tandun M. Can Videos as a By-Product of GUI Testing Help Developers Understand GUI Tests? in Schneider K, Dalpiaz F, Horkoff J, Hrsg., 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW). IEEE. 2023. S. 146-153. (IEEE International Requirements Engineering Conference Workshops (REW)). doi: 10.1109/REW57809.2023.00031
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)). doi: 10.1007/978-3-030-98464-9_18
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. Epub 2022 Jul 21. doi: 10.48550/arXiv.2207.07954, 10.1016/j.jss.2022.111448
Herrmann M, Obaidi M, Klünder J. SEnti-Analyzer: Joint Sentiment Analysis For Text-Based and Verbal Communication in Software Projects. arXiv. 2022 Jun 22. Epub 2022 Jun 22. doi: 10.48550/ARXIV.2206.10993
Obaidi M, Holm H, Schneider K, Klünder J. On the Limitations of Combining Sentiment Analysis Tools in a Cross-Platform Setting. in Taibi D, Kuhrmann M, Mikkonen T, Abrahamsson P, Klünder J, Hrsg., Product-Focused Software Process Improvement. Cham: Springer International Publishing AG. 2022. S. 108-123. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-21388-5_8
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. Epub 2022 Jul 22. doi: 10.1016/j.infsof.2022.107018
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)). doi: 10.1007/978-3-031-14785-2_6
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). doi: 10.1145/3463274.3463328
