Zeeshan Rasheed
About me
I did my Master's degree in Applied Computer Science from Inner Mongolia University of Technology, China, in 2021. My research is dedicated to advancing the fields of Generative AI and software engineering.
Responsibilities
The goal of my PhD project is to revolutionize software development by developing a system wherein multiple AI agents collaborate autonomously. These agents are designed to comprehend requirements, architect designs, write code, conduct tests, and perform debugging. This system is engineered to facilitate efficient collaboration and autonomous operation, coupled with stringent quality assurance. Additionally, it is equipped with capabilities that allow AI agents to continuously learn and enhance their performance over time.
Fields of expertise
I have six years expirence in field of Machine Learning.
Research topics
Advancing the fields of Generative AI and software engineering
Latest publications
A Multi-agent LLM System for Automated Requirements Analysis: A Study on User Story Generation and Prioritization
Sami, M. A., Zhang, Z., Waseem, M., Kemell, K. K., Rasheed, Z., Herda, T., Hasan, M. T., Rasku, J. & Abrahamsson, P., 2025, Software Engineering and Advanced Applications: 51st Euromicro Conference, SEAA 2025, Salerno, Italy, September 10–12, 2025, Proceedings, Part II. Taibi, D. & Smite, D. (eds.). Springer, p. 178-187 (Lecture Notes in Computer Science; vol. 16082 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Autonomous Agents in Software Development: A Vision Paper
Rasheed, Z., Waseem, M., Sami, M., Kemell, K.-K., Ahmad, A., Nguyen-Duc, A., Systä, K. & Abrahamsson, P., 2025, Agile Processes in Software Engineering and Extreme Programming – Workshops: XP 2024 Workshops, Bozen-Bolzano, Italy, June 4–7, 2024, Revised Selected Papers. Springer, p. 15-23 9 p. (Lecture Notes in Business Information Processing; vol. 524).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Autonomous Legacy Web Application Upgrades Using a Multi-Agent System
Ala-Salmi, V., Rasheed, Z., Sami, A. M., Zhang, Z., Kemell, K.-K., Rasku, J., Siddeeq, S., Saari, M. & Abrahamsson, P., 2025, Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2025). SCITEPRESS, Vol. 1. p. 185-196 (ENASE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
AI based Multiagent Approach for Requirements Elicitation and Analysis
Sami, M. A., Waseem, M., Zhang, Z., Rasheed, Z., Systä, K. & Abrahamsson, P., 2024.Research output: Working paper › Preprint › General public
CodePori: Large Scale Model for Autonomous Software Development by Using Multi-Agents
Rasheed, Z., Waseem, M., Saari, M., Systä, K. & Abrahamsson, P., 2024, (Submitted).Research output: Working paper › Preprint › Research
Early Results of an AI Multiagent System for Requirements Elicitation and Analysis
Sami, M. A., Waseem, M., Zhang, Z., Rasheed, Z., Systä, K. & Abrahamsson, P., 2024, Product-Focused Software Process Improvement: 25th International Conference, PROFES 2024, Tartu, Estonia, December 2–4, 2024, Proceedings. Pfahl, D., Anwar, H., Gonzalez Huerta, J. & Klünder, J. (eds.). Springer, p. 307-316 10 p. (Lecture Notes in Computer Science; vol. 15452 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Experimenting with Multi-Agent Software Development: Towards a Unified Platform
Sami, M. A., Waseem, M., Rasheed, Z., Saari, M., Systä, K. & Abrahamsson, P., 8 Jun 2024, (Submitted).Research output: Working paper › Preprint › Research
Large Language Model Evaluation Via Multi AI Agents: Preliminary results
Rasheed, Z., Waseem, M., Systä, K. & Abrahamsson, P., 11 May 2024, ICLR 2024 Workshop on Large Language Model (LLM) Agents. ICLR, p. 1-12Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
The Report of 85 AI Tools: GenAI Content Production: Enhancing Repeatability and Automation with ChatGPT
Harjamäki, J., Rantanen, P., Lahtinen, D., Sillberg, P., Saari, M., Grönman, J., Rasheed, Z., Sami, M. & Abrahamsson, P., 2024, Tampere University. 118 p.Research output: Book/Report › Book › Scientific