Early Results of an AI Multiagent System for Requirements Elicitation and Analysis
Presented at the 25th International Conference on Product-Focused Software Process Improvement (PROFES 2024), Tartu, Estonia, December 2–4, 2024
At the forefront of software engineering research, this study introduces a pioneering AI Multiagent System designed for requirements elicitation and analysis. Conducted by a team of experts, including Sami, M. A., Waseem, M., Zhang, Z., Rasheed, Z., Systä, K., and Abrahamsson, P., the study presents ground-breaking early results that are paving the way for more efficient and effective software development processes.
The research is a part of the lectures compiled in the esteemed Lecture Notes in Computer Science series, volume 15452 LNCS, highlighting its academic significance. By employing a novel multiagent system approach, the study introduces scalable and adaptive methodologies to improve the accuracy and efficiency of understanding stakeholder needs in software projects.
This paper is essential reading for anyone involved in software engineering, especially those focusing on the enhancement of requirements gathering processes. It offers insights not just into traditional practices but also into future possibilities of AI’s role in transforming software development dynamics.
To delve deeper into the innovative methodologies and findings of this research, we invite you to read the full paper. Access it here:
AI Multiagent System for Requirements Elicitation and Analysis.
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