Martin Obaidi, M. Sc.
© Fachgebiet Software Engineering
Martin Obaidi, M. Sc.
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30167 Hannover
30167 Hannover
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© 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
Zeige Ergebnisse 1 - 17 von 17
Deters H, Droste J, Obaidi M, Schneider K. Exploring the means to measure explainability: Metrics, heuristics and questionnaires. Information and Software Technology. 2025 Mai;181:107682. Epub 2025 Feb 8. doi: 10.1016/j.infsof.2025.107682
Droste J, Deters H, Obaidi M, Klünder J, Schneider K. Framing what can be explained - an operational taxonomy for explainability needs. Requirements engineering. 2025 Mär 25. Epub 2025 Mär 25. doi: 10.1007/s00766-025-00440-x
Herrmann M, Obaidi M, Klünder J. Different and similar perceptions of communication among software developers. Information and Software Technology. 2025 Mai;181:107698. Epub 2025 Feb 19. doi: 10.1016/j.infsof.2025.107698
Deters H, Droste J, Obaidi M, Schneider K. How Explainable Is Your System? Towards a Quality Model for Explainability. in Mendez D, Mendez D, Moreira A, Moreira A, Hrsg., Requirements Engineering: Foundation for Software Quality - 30th International Working Conference, REFSQ 2024, Proceedings. Springer Nature Switzerland AG. 2024. S. 3-19. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-57327-9_1
Droste J, Deters H, Obaidi M, Schneider K. Explanations in Everyday Software Systems: Towards a Taxonomy for Explainability Needs. in Liebel G, Hadar I, Spoletini P, Hrsg., 2024 IEEE 32nd International Requirements Engineering Conference (RE). 2024. S. 55-66. (IEEE International Symposium on Requirements Engineering). Epub 2024 Apr 25. doi: 10.1109/RE59067.2024.00016, 10.48550/arXiv.2404.16644
Specht A, Obaidi M, Nagel L, Stess M, Klünder J. What is Needed to Apply Sentiment Analysis in Real Software Projects: A Feasibility Study in Industry. in Lárusdóttir MK, Naqvi B, Bernhaupt R, Ardito C, Sauer S, Hrsg., Human-Centered Software Engineering : 10th IFIP WG 13.2 International Working Conference, HCSE 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. S. 105-129. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-64576-1_6
Anders M, Obaidi M, Specht A, Paech B. What Can be Concluded from User Feedback? - An Empirical Study. in Schneider K, Dalpiaz F, Horkoff J, Hrsg., 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW). Institute of Electrical and Electronics Engineers Inc. 2023. S. 122-128. (IEEE International Requirements Engineering Conference Workshops (REW)). doi: 10.1109/REW57809.2023.00027
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: 10.15488/16374, 10.1109/REW57809.2023.00031
Unterbusch M, Sadeghi M, Fischbach J, Obaidi M, Vogelsang A. Explanation Needs in App Reviews: Taxonomy and Automated Detection. in Schneider K, Dalpiaz F, Horkoff J, Hrsg., 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW). Institute of Electrical and Electronics Engineers Inc. 2023. S. 102-111. (IEEE International Requirements Engineering Conference Workshops). doi: 10.48550/arXiv.2307.04367, 10.1109/REW57809.2023.00024
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. 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
