41 citations · 79 across the 29 of their papers we have counts for
8 papers · 1 filter
AI based Multiagent Approach for Requirements Elicitation and Analysis
Malik Abdul Sami, Muhammad Waseem, Zheying Zhang +3
Requirements Engineering (RE) plays a pivotal role in software development, encompassing tasks such as requirements elicitation, analysis, specification, and change management. Des…
A Tool for Test Case Scenarios Generation Using Large Language Models
Abdul Malik Sami, Zeeshan Rasheed, Muhammad Waseem +3
Large Language Models (LLMs) are widely used in Software Engineering (SE) for various tasks, including generating code, designing and documenting software, adding code comments, re…
Experimenting with Multi-Agent Software Development: Towards a Unified Platform
Malik Abdul Sami, Muhammad Waseem, Zeeshan Rasheed +3
Large language models are redefining software engineering by implementing AI-powered techniques throughout the whole software development process, including requirement gathering,…
Prioritizing Software Requirements Using Large Language Models
Malik Abdul Sami, Zeeshan Rasheed, Muhammad Waseem +3
Large Language Models (LLMs) are revolutionizing Software Engineering (SE) by introducing innovative methods for tasks such as collecting requirements, designing software, generati…
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…
Large Language Model Evaluation Via Multi AI Agents: Preliminary results
Zeeshan Rasheed, Muhammad Waseem, Kari Systä +1
As Large Language Models (LLMs) have become integral to both research and daily operations, rigorous evaluation is crucial. This assessment is important not only for individual tas…
LLM-based agents for automating the enhancement of user story quality: An early report
Zheying Zhang, Maruf Rayhan, Tomas Herda +2
In agile software development, maintaining high-quality user stories is crucial, but also challenging. This study explores the use of large language models to automatically improve…
System for systematic literature review using multiple AI agents: Concept and an empirical evaluation
Abdul Malik Sami, Zeeshan Rasheed, Kai-Kristian Kemell +6
Systematic literature review (SLR) is foundational to evidence-based research, enabling scholars to identify, classify, and synthesize existing studies to address specific research…