QDAcity-RE

1 to 6 of 22

20NOV 2023
2 Research
Dissertation: The QDAcity-RE-RS Method for Creating Complete, Consistent, and Traceable Requirements Specifications (Dr. Julia Mucha)
Abstract: Resolving issues that arise in a software project becomes more expensive as the project advances. Hence, it is crucial for a requirements engineer to develop a complete, consistent, and traceable requirements specification (RS). To create such a high-quality RS, the requirements engineer must develop a deep understanding of the problem domain. In science, researchers […]
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17OCT 2022
4 Theses
Final Thesis: Meta Model to support requirements specification creation
Abstract: Requirements elicitation is an initial phase and an essential cornerstone in a software development lifecycle. The requirements and, in particular, the software requirements specification form a base for the design and development of software. Several surveys and studies have identified a range of problems, whereby one of them showed that incomplete and hidden requirements […]
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01JUL 2022
2 Research
Research Paper: The Benefits of Pre-Requirements Specification Traceability
Abstract: Requirements traceability is the ability to trace requirements to other software engineering artifacts. Traceability can be classified as either pre- or post-requirements specifications (RS) traceability. Pre-RS traceability is the ability to trace between requirements and their origin. However, the benefits of pre-RS traceability are often not clear. In this article, we systematically lay out […]Abstract: Requirements traceability is the ability to trace requirements to other software engineering artifacts. Traceability can be classified as either pre- or post-requirements specifications (RS) traceability. Pre-RS traceability is the ability to trace between requirements and their origin. However, the benefits of pre-RS traceability are often not clear. In this article, we systematically lay out […]
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16AUG 2021
2 Research
Research Paper: A validation of QDAcity‐RE for domain modeling using qualitative data analysis
Abstract: Using qualitative data analysis (QDA) to perform domain analysis and modeling has shown great promise. Yet, the evaluation of such approaches has been limited to single-case case studies. While these exploratory cases are valuable for an initial assessment, the evaluation of the efficacy of QDA to solve the suggested problems is restricted by the […]
Read more about Research Paper: A validation of QDAcity‐RE for domain modeling using qualitative data analysis
20JUL 2021
2 Research
Dissertation: Domain Modeling Using Qualitative Data Analysis (Dr. Andreas Kaufmann)
Abstract: The creation of domain models from qualitative input relies heavily on experience. An uncodified ad-hoc modeling process is still common and leads to poor documentation of the requirements analysis. In this thesis, we present a novel method for domain analysis based on qualitative data analysis (QDA). The method helps identifying inconsistencies, ensures a high […]
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16MAY 2019
4 Theses
Final Thesis: Conflict Resolution in Collaborative Web Apps With Offline Use
Abstract: Offline usage is a great advantage for the web apps. It gives the opportunity to interact with the app without the need of constantly having the network connection. After network recovery the app synchronizes the collected offline data with the backend data. However, when the synchronized data is shared with other users, it may lead […]
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