3 citations · 10 across the 6 of their papers we have counts for
6 papers
Distributed Approach to Haskell Based Applications Refactoring with LLMs Based Multi-Agent Systems
Shahbaz Siddeeq, Zeeshan Rasheed, Malik Abdul Sami +6
We present a large language models (LLMs) based multi-agent system to automate the refactoring of Haskell codebases. The multi-agent system consists of specialized agents performin…
Autonomous Legacy Web Application Upgrades Using a Multi-Agent System
Valtteri Ala-Salmi, Zeeshan Rasheed, Abdul Malik Sami +6
The use of Large Language Models (LLMs) for autonomous code generation is gaining attention in emerging technologies. As LLM capabilities expand, they offer new possibilities such…
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…