collaborators

6 papers

cs.SE2026

Epic-Organized vs. Requirement-Aligned Gherkin: An Empirical Evaluation of LLM-Based Acceptance Criteria Generation

Shahbaz Siddeeq, Mateen Abbasi, Jussi Rasku +4

Automated authoring of Gherkin Behavior-Driven Development (BDD) acceptance criteria remains a manual bottleneck in requirements engineering. This study investigates whether epic-o…

cs.CY2026

Human-AI Interaction Requirements in Public Sector Procurements

Mateen A. Abbasi, Tommi Mikkonen, Sinna Pirinen +1

Public sector organizations increasingly procure AI-enabled ICT systems to support decision-making and service delivery. Although ethical AI frameworks emphasize transparency, acco…

cs.SE2026

Carbon-Aware Governance Gates: An Architecture for Sustainable GenAI Development

Mateen A. Abbasi, Tommi J. Mikkonen, Petri J. Ihantola +4

The rapid adoption of Generative AI (GenAI) in the software development life cycle (SDLC) increases computational demand, which can raise the carbon footprint of development activi…

cs.SE2025

Towards Human-AI Synergy in Requirements Engineering: A Framework and Preliminary Study

Mateen Ahmed Abbasi, Petri Ihantola, Tommi Mikkonen +1

The future of Requirements Engineering (RE) is increasingly driven by artificial intelligence (AI), reshaping how we elicit, analyze, and validate requirements. Traditional RE is b…

cs.SE2025

Reconsidering Requirements Engineering: Human-AI Collaboration in AI-Native Software Development

Mateen Ahmed Abbasi, Petri Ihantola, Tommi Mikkonen +1

Requirement Engineering (RE) is the foundation of successful software development. In RE, the goal is to ensure that implemented systems satisfy stakeholder needs through rigorous…

cs.SE2025

Towards Shift-Up: A Framework and a Prestudy on High-Value Activities in GenAI Native Software Development

Vlad Stirbu, Mateen Ahmed Abbasi, Teerath Das +8

Generative AI (GenAI) has significantly influenced software engineering. Associated tools have created a shift in software engineering, where specialized agents, based on user-prov…