<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "Automating Feedback Analysis to Support Requirements Relation and Usage Understanding"^^ . "Context: Software development is an iterative process requiring continuous adaptation to\r\nuser needs. However, a gap often exists between developers’ assumptions and users’ actual\r\nexpectations for the software. While direct user participation is valuable for bridging this gap,\r\npractical constraints often make it difficult. Online user feedback provides an alternative source\r\nfor insights but is typically unstructured and lacks context. To bridge the gap between developers\r\nand users through online feedback, two key challenges need to be tackled: (1) identifying which\r\nfunctionalities users discuss in their feedback and (2) understanding how users interact with\r\nthese functionalities. Moreover, manually analyzing large volumes of feedback is time-consuming,\r\nhighlighting the need for automation and tool support.\r\nObjective: The goal of this thesis is to introduce two approaches to tackle the above mentioned\r\nchallenges. One approach, handling challenge (1), facilitates the relation of feedback and existing\r\nrequirements of a software. The functionalities of a software are documented in its requirements.\r\nBy relating feedback directly to the requirements, developers are able to identify the discussed\r\nfunctionalities of the software. The other approach, handling challenge (2), allows the analysis\r\nof users’ needs and expectations by extracting the usage information in their feedback. Usage\r\ncomprises both the real-life actions of the users as well as the interactions of the user with the\r\nsoftware. This usage information is captured through the application of the TORE framework on\r\nthe user feedback and allows developers to gain a better understanding of how the users interact\r\nwith the software’s functionalities. For both of these approaches, the relation and the usage\r\ninformation analysis, this thesis offers machine learning classifiers and tool support to reduce the\r\nmanual labour required for the analysis.\r\nMethods: This thesis follows the Design Science approach consisting of solution investigation,\r\ntreatment design and treatment validation. The solution investigation is conducted via two\r\nsystematic mapping studies in order to identify existing machine learning classifiers and evaluate\r\ntheir applicability to feedback requirements relation and usage information classification. The\r\ntreatment design contains goals that match the two approaches presented in this thesis: The\r\ndesign and implementation of an approach and accompanying automatic classifiers to relate\r\nfeedback to existing requirements and to identify the usage information contained in feedback.\r\nThe implemented classifiers are also evaluated on multiple manually created datasets to identify\r\nthe best-performing ones. Additionally, a software prototype is presented as part of the treatment\r\ndesign, which offers tool support for the developed approaches. The treatment validation evaluates\r\nthe developed classifiers in the context of a hypothetical deployment scenario in a company.\r\nContributions: The main contributions of this thesis are the presented approaches for\r\nfeedback requirements relation and usage information analysis as well as the classifiers for the\r\nautomation of these approaches and their evaluation. Multiple manually created datasets are\r\nalso provided to train and evaluate the presented classifiers. Furthermore, two mapping studies\r\nare included, which capture the current state of research towards the relation of software artifacts\r\nand detailed user feedback classification. Additionally, a prototype (Feed.UVL) is created to\r\nprovide tool support for the developed approaches. A Jira plugin is also provided to integrate\r\nthe tool support for the approaches into existing development workflows."^^ . "2025" . . . . . . . "Michael"^^ . "Anders"^^ . "Michael Anders"^^ . . . . . . "Automating Feedback Analysis to Support Requirements Relation and Usage Understanding (PDF)"^^ . . . "Dissertation_final.pdf"^^ . . . "Automating Feedback Analysis to Support Requirements Relation and Usage Understanding (Other)"^^ . . . . . . "indexcodes.txt"^^ . . . "Automating Feedback Analysis to Support Requirements Relation and Usage Understanding (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "Automating Feedback Analysis to Support Requirements Relation and Usage Understanding (Other)"^^ . . . . . . "preview.jpg"^^ . . . "Automating Feedback Analysis to Support Requirements Relation and Usage Understanding (Other)"^^ . . . . . . "medium.jpg"^^ . . . "Automating Feedback Analysis to Support Requirements Relation and Usage Understanding (Other)"^^ . . . . . . "small.jpg"^^ . . "HTML Summary of #36811 \n\nAutomating Feedback Analysis to Support Requirements Relation and Usage Understanding\n\n" . "text/html" . . . "004 Informatik"@de . "004 Data processing Computer science"@en . .