From the 1 of 12 linked papers with an AI index.
12 papers
Integrating AI into Requirements Quality Learning in Software Engineering Education: A TPACK-Guided Empirical Study
Hansika Ekanayake Mudiyanselage, Rohan Jai Dharmaraj, Malik Abdul Sami +1
The paper reports an empirical study of how a generative multi‑agent AI tool was integrated into a master‑level requirements engineering assignment using the TPACK framework, exami…
Identifying and Prioritizing Generative AI Use Cases in an Organization: An Industrial Case Study
Malik Abdul Sami, Zeeshan Rasheed, Meri Olenius +4
Organisations are examining how generative AI can support their operational work and decision-making processes. This study investigates how employees in a energy company understand…
CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology
Zeeshan Rasheed, Muhammad Waseem, Kai-Kristian Kemell +5
Context: LLM-based multi-agent systems enable automation and decision support in software development, yet existing studies rely on benchmark datasets offering only binary pass-or-…
Agentic Frameworks for Reasoning Tasks: An Empirical Study
Zeeshan Rasheed, Abdul Malik Sami, Muhammad Waseem +3
Recent advances in agentic frameworks have enabled AI agents to perform complex reasoning and decision-making. However, evidence comparing their reasoning performance, efficiency,…
AI-powered Code Review with LLMs: Early Results
Zeeshan Rasheed, Malik Abdul Sami, Muhammad Waseem +5
In this paper, we present a novel approach to improving software quality and efficiency through a Large Language Model (LLM)-based model designed to review code and identify potent…
From Specification to Service: Accelerating API-First Development Using Multi-Agent Systems
Saurabh Chauhan, Zeeshan Rasheed, Malik Abdul Sami +6
This paper presents a system that uses Large Language Models (LLMs)-based agents to automate the API-first development of RESTful microservices. This system helps to create an Open…