Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
addClaim

Reqcraft: An AI-Based Interview Simulator to Support Requirements Elicitation Learning in Software Engineering Education

Reqcraft: An AI-Based Interview Simulator to Support Requirements Elicitation Learning in Software Engineering Education

Abstract

Context: Teaching requirements elicitation remains challenging in Software Engineering education, as it requires the development of communication, analytical, and critical thinking skills in realistic settings. Goal: This paper presents and evaluates Reqcraft, an AI-based interview simulator designed to support students’ learning of requirements elicitation through interactive and realistic client simulations. Method: We conducted a mixed-methods study with 100 undergraduate students enrolled in Requirements Engineering courses. Data were collected through a survey combining Likert-scale questions and open-ended responses, and complemented with interviews with two experienced instructors. Results: The results indicate that Reqcraft improves students’ understanding of the elicitation process, enhances their ability to formulate questions, and supports the identification of functional and non-functional requirements. Students reported high levels of engagement and perceived realism, while instructors highlighted improvements in communication and collaborative learning. Some limitations were observed, particularly related to system performance and interaction constraints. Conclusion: AI-based simulators such as Reqcraft represent a promising approach to complement traditional teaching methods in Requirements Engineering by providing scalable, interactive, and practice-oriented learning experiences.

Keywords

Requirements Engineering, AI-based Simulation, Generative AI, Software Engineering Education, Requirements Elicitation

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average