Colloquium announcement

Faculty of Engineering Technology

Department Design, Production and Management
Master programme Industrial Design Engineering

As part of his / her master assignment

Kekem, J.A.W. van (Jeroen)

will hold a speech entitled:

Designing a System to Aid in Conversational Requirement Elicitation Practices

Date24-05-2024
Time13:30
RoomWH224 + W244
Designing a System to Aid in Conversational Requirement Elicitation Practices - Kekem, J.A.W. van (Jeroen)

Summary

In any product development cycle, Requirement Elicitation (RE) stands as a cornerstone for capturing and communicating client needs early, mitigating costs later. Recognized as integral, it involves an interactive process between analysts and clients to identify essential requirements.

In agile software development, Conversational Requirement Elicitation is popular. Fizor collaborates with the University of Utrecht on Conversational RE. Fizor specializes in low-code solutions, benefiting from Forza IT group's expertise. Two functionalities, REConSum and Trace2Conv, process conversations. Fizor aims to integrate these into a system useful in agile software development.

Business Analysts stand to gain the most from such a system, benefiting from a literature review and interviews conducted. Video conferencing software, like Microsoft Teams, is used widely but lacks required accuracy for practical use.

A functional system with four subsystems has been realized: Conversation artifact generation, Natural Language Processing, Data storage, and Guided User Interface. It enables gathering research data and annotating conversations.

Further development is needed, focusing on improving environments for capturing conversations and adding more functionalities. The system aims to be accessible, integrated, and requiring minimal effort to use. Real-world testing is crucial to validate effectiveness, efficiency, and user-friendliness.

The system offers valuable benefits to Business Analysts, allowing them to revisit discussions for clarification and reference. Initial discussions with industry experts show promise, though further refinement and testing are necessary.

Fizor's meeting rooms serve as a testing ground to validate the system's capabilities. As manual processing is currently relied upon, the system's ability to accurately transcribe conversations and filter data can provide significant value.

In conclusion, the developed system represents a significant advancement in Conversational Requirement Elicitation. Further refinement and testing are essential to realize its full potential.