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20242026
most citedAI-powered Code Review with LLMs: Early Results

6 citations · 14 across the 15 of their papers we have counts for

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6 papers · 1 filter

cs.SE2024

TimeLess: A Vision for the Next Generation of Software Development

Zeeshan Rasheed, Malik Abdul Sami, Jussi Rasku +16

Present-day software development faces three major challenges: complexity, time consumption, and high costs. Developing large software systems often requires battalions of teams an…

cs.SE2024★ 3 cited

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…

cs.SE2024★ 2 cited

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,…

cs.SE2024★ 2 cited

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…

cs.SE2024★ 6 cited

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…

cs.SE2024

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology

Zeeshan Rasheed, Muhammad Waseem, Kai-Kristian Kemell +5

Existing Large Language Model (LLM)-based multi-agent systems are capable of executing tasks and providing data-driven recommendations, thereby enabling automation and decision sup…