Zeeshan Rasheed

Orcid: 0000-0001-9655-3096

Affiliations:
  • Tampere University, Finland


According to our database1, Zeeshan Rasheed authored at least 25 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Agentic Frameworks for Reasoning Tasks: An Empirical Study.
CoRR, April, 2026

LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review.
CoRR, April, 2026

Generative AI Adoption in an Energy Company: Exploring Challenges and Use Cases.
CoRR, February, 2026

Bridging Humans and LLMs: Investigating Human-AI Collaboration in Multi-agent Requirements Analysis for Organizational AI Adoption.
e Informatica Softw. Eng. J., 2026

2025
From Specification to Service: Accelerating API-First Development Using Multi-Agent Systems.
CoRR, October, 2025

VAPU: System for Autonomous Legacy Code Modernization.
CoRR, October, 2025

Distributed Approach to Haskell Based Applications Refactoring with LLMs Based Multi-Agent Systems.
CoRR, February, 2025

Large Language Models for Code Generation: The Practitioners Perspective.
CoRR, January, 2025

LLM-Based Multi-agent System for Intelligent Refactoring of Haskell Code.
Proceedings of the Product-Focused Software Process Improvement, 2025

A Multi-agent LLM System for Automated Requirements Analysis: A Study on User Story Generation and Prioritization.
Proceedings of the Software Engineering and Advanced Applications, 2025

LLM-Generated Microservice Implementations from RESTful API Definitions.
Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering, 2025

Autonomous Legacy Web Application Upgrades Using a Multi-Agent System.
Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering, 2025

2024
TimeLess: A Vision for the Next Generation of Software Development.
CoRR, 2024

AI based Multiagent Approach for Requirements Elicitation and Analysis.
CoRR, 2024

A Tool for Test Case Scenarios Generation Using Large Language Models.
CoRR, 2024

Experimenting with Multi-Agent Software Development: Towards a Unified Platform.
CoRR, 2024

Prioritizing Software Requirements Using Large Language Models.
CoRR, 2024

AI-powered Code Review with LLMs: Early Results.
CoRR, 2024

Large Language Model Evaluation Via Multi AI Agents: Preliminary results.
CoRR, 2024

System for systematic literature review using multiple AI agents: Concept and an empirical evaluation.
CoRR, 2024

CodePori: Large Scale Model for Autonomous Software Development by Using Multi-Agents.
CoRR, 2024

Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis.
CoRR, 2024

Autonomous Agents in Software Development: A Vision Paper.
Proceedings of the Agile Processes in Software Engineering and Extreme Programming - Workshops, 2024

Early Results of an AI Multiagent System for Requirements Elicitation and Analysis.
Proceedings of the Product-Focused Software Process Improvement, 2024

2023
Autonomous Agents in Software Development: A Vision Paper.
CoRR, 2023


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