arXiv subjects

Risha Parveen

Publications and source records attributed to Risha Parveen.

3 recordsLinked to original sources

arXiv2026

Req-Space: A User Study of Interactive Visualisations for Requirements Review

Requirements review involves identifying inconsistencies and assessing change implications across distributed specifications. Motivated by needs raised in industrial project workshops, we investigate Req-Space, an interactive prototype integrating semantic exploration and traceability visualisation to support human-led review. We conducted a fixed-order, two-phase study with 20 participants, including 11 with at least three years of software or IT experience. Participants reviewed a fictional 40-requirement software specification and a guest-checkout change request, first using source documents and then revisiting the same tasks with Req-Space. During the supported review, 17 participants recorded at least one additional source-supported item or pair. Of 69 assessable additional units, 58 (84.1%) were judged supported by the source materials. Seven decision rationales were judged stronger in Phase 2, including five without a change in the decision category. Participants generally found the visualisations helpful, although workload responses were mixed and some misinterpreted visual relationships. The findings suggest that visual support can facilitate requirements exploration and decision justification, provided relationship meanings and source context remain clear. The fixed study sequence prevents attributing the observed changes specifically to Req-Space.

cs.SE↗

arXiv2025

Students' Perception of LLM Use in Requirements Engineering Education: An Empirical Study Across Two Universities

The integration of Large Language Models (LLMs) in Requirements Engineering (RE) education is reshaping pedagogical approaches, seeking to enhance student engagement and motivation while providing practical tools to support their professional future. This study empirically evaluates the impact of integrating LLMs in RE coursework. We examined how the guided use of LLMs influenced students' learning experiences, and what benefits and challenges they perceived in using LLMs in RE practices. The study collected survey data from 179 students across two RE courses in two universities. LLMs were integrated into coursework through different instructional formats, i.e., individual assignments versus a team-based Agile project. Our findings indicate that LLMs improved students' comprehension of RE concepts, particularly in tasks like requirements elicitation and documentation. However, students raised concerns about LLMs in education, including academic integrity, overreliance on AI, and challenges in integrating AI-generated content into assignments. Students who worked on individual assignments perceived that they benefited more than those who worked on team-based assignments, highlighting the importance of contextual AI integration. This study offers recommendations for the effective integration of LLMs in RE education. It proposes future research directions for balancing AI-assisted learning with critical thinking and collaborative practices in RE courses.

cs.SE↗

arXiv2024

6GSoft: Software for Edge-to-Cloud Continuum

In the era of 6G, developing and managing software requires cutting-edge software engineering (SE) theories and practices tailored for such complexity across a vast number of connected edge devices. Our project aims to lead the development of sustainable methods and energy-efficient orchestration models specifically for edge environments, enhancing architectural support driven by AI for contemporary edge-to-cloud continuum computing. This initiative seeks to position Finland at the forefront of the 6G landscape, focusing on sophisticated edge orchestration and robust software architectures to optimize the performance and scalability of edge networks. Collaborating with leading Finnish universities and companies, the project emphasizes deep industry-academia collaboration and international expertise to address critical challenges in edge orchestration and software architecture, aiming to drive significant advancements in software productivity and market impact.

cs.SE↗