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Interlinking user stories and GUI prototyping: A semi-automatic LLM-based approach
Kolthoff, Kristian
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Kretzer, Felix
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Bartelt, Christian
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Maedche, Alexander
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Ponzetto, Simone Paolo
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Additional URL:
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https://conf.researchr.org/details/RE-2024/RE-2024...
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Document Type:
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Conference or workshop publication
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Year of publication:
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2024
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Book title:
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2024 IEEE 32nd International Requirements Engineering Conference (RE)
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Page range:
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1-9
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Conference title:
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32nd IEEE International Requirements Engineering 2024 Conference
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Location of the conference venue:
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Reykjavik, Iceland
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Date of the conference:
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24.-28.6.2024
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Place of publication:
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Reykjavik, Iceland
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Publishing house:
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IEEE
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Related URLs:
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Publication language:
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English
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Institution:
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Außerfakultäre Einrichtungen > Institut für Enterprise Systems (InES)
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Subject:
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004 Computer science, internet
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Abstract:
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Interactive systems are omnipresent today and the need to create graphical user interfaces (GUIs) is just as ubiquitous. For the elicitation and validation of requirements, GUI prototyping is a well-known and effective technique, typically employed after gathering initial user requirements represented in natural language (NL) (e.g., in the form of user stories). Unfortunately, GUI prototyping often requires extensive resources, resulting in a costly and time-consuming process. Despite various easy-to-use prototyping tools in practice, there is often a lack of adequate resources for developing GUI prototypes based on given user requirements. In this work, we present a novel Large Language Model (LLM)-based approach providing assistance for validating the implementation of functional NL-based requirements in a GUI prototype embedded in a prototyping tool. In particular, our approach aims to detect functional user stories that are not implemented in a GUI prototype and provides recommendations for suitable GUI components directly implementing the requirements. We collected requirements for existing GUIs in the form of user stories and evaluated our proposed validation and recommendation approach with this dataset. The obtained results are promising for user story validation and we demonstrate feasibility for the GUI component recommendations.
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 Search Authors in
BASE:
Kolthoff, Kristian
;
Kretzer, Felix
;
Bartelt, Christian
;
Maedche, Alexander
;
Ponzetto, Simone Paolo
Google Scholar:
Kolthoff, Kristian
;
Kretzer, Felix
;
Bartelt, Christian
;
Maedche, Alexander
;
Ponzetto, Simone Paolo
ORCID:
Kolthoff, Kristian, Kretzer, Felix, Bartelt, Christian, Maedche, Alexander and Ponzetto, Simone Paolo  ORCID: https://orcid.org/0000-0001-7484-2049
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