3 citations · 8 across the 12 of their papers we have counts for
14 papers · 1 filter
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 rapid adoption of generative Artificial Intelligence (AI) in software engineering (SE) practice creates a need for pedagogically grounded approaches to AI integration in SE edu…
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…
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…
VAPU: System for Autonomous Legacy Code Modernization
Valtteri Ala-Salmi, Zeeshan Rasheed, Abdul Malik Sami +5
In this study, we present a solution for the modernization of legacy applications, an area of code generation where LLM-based multi-agent systems are proving essential for complex…
LLM-Generated Microservice Implementations from RESTful API Definitions
Saurabh Chauhan, Zeeshan Rasheed, Abdul Malik Sami +4
The growing need for scalable, maintainable, and fast-deploying systems has made microservice architecture widely popular in software development. This paper presents a system that…
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…