Automating feedback analysis to support requirements relation and usage understanding [data]
Contains all relevant data for the dissertation "Automating Feedback Analysis to Support Requirements Relation and Usage Understanding". ReadMe are provided for each section of dataset. Software development often faces a gap between developers' assumptions and users' real needs....
Gespeichert in:
| 1. Verfasser: | |
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| Dokumenttyp: | Datenbank Forschungsdaten |
| Sprache: | Englisch |
| Veröffentlicht: |
Heidelberg
Universität
2025-04-17
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| DOI: | 10.11588/DATA/RTCGSG |
| Schlagworte: | |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.11588/DATA/RTCGSG Verlag, kostenfrei, Volltext: https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/DATA/RTCGSG 
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| Verfasserangaben: | Michael Anders |
MARC
| LEADER | 00000cmi a2200000 c 4500 | ||
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| 001 | 1928526039 | ||
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| 008 | 250618c20259999xx |o | eng c | ||
| 024 | 7 | |a 10.11588/DATA/RTCGSG |2 doi | |
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| 100 | 1 | |a Anders, Michael |d 1994- |e VerfasserIn |0 (DE-588)122093528X |0 (DE-627)1738053431 |4 aut | |
| 245 | 1 | 0 | |a Automating feedback analysis to support requirements relation and usage understanding [data] |c Michael Anders |
| 264 | 1 | |a Heidelberg |b Universität |c 2025-04-17 | |
| 300 | |a 1 Online-Ressource (4 Files) | ||
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| 337 | |a Computermedien |b c |2 rdamedia | ||
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| 520 | |a Contains all relevant data for the dissertation "Automating Feedback Analysis to Support Requirements Relation and Usage Understanding". ReadMe are provided for each section of dataset. Software development often faces a gap between developers' assumptions and users' real needs. While direct user involvement is valuable, it is often impractical, making online user feedback a crucial but challenging resource due to its unstructured nature. This dissertation addresses two main challenges: identifying which functionalities users discuss in their feedback and understanding how users interact with them. To tackle these, two machine learning-based approaches are proposed: one relates user feedback to existing software requirements, and the other extracts detailed usage information using the TORE framework. Following a Design Science methodology, the thesis includes systematic mapping studies, the design and evaluation of automatic classifiers, and the development of a supporting software prototype, Feed.UVL, along with a Jira plugin to integrate into existing workflows. The contributions include new methods for feedback analysis, evaluated classifiers, annotated datasets, and insights into current research in the field. | ||
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| 787 | 0 | 8 | |i Forschungsdaten zu |a Anders, Michael, 1994 - |t Automating feedback analysis to support requirements relation and usage understanding |d Heidelberg, 2025 |h 1 Online-Ressource (X, 172 Seiten) |w (DE-627)193046410X |
| 856 | 4 | 0 | |u https://doi.org/10.11588/DATA/RTCGSG |x Verlag |x Resolving-System |z kostenfrei |3 Volltext |
| 856 | 4 | 0 | |u https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/DATA/RTCGSG |x Verlag |z kostenfrei |3 Volltext |
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| BIB | |a Y | ||
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