Software Engineering Process for AI Projects
AI projects are highly complex and differ significantly from conventional software products. Therefore, an appropriate process is essential to manage, coordinate the entire team, and deliver high-quality products. We introduce the Software Engineering Process for AI Projects, which consists of 12 stages and is built based on our previous experience in developing AI applications.
A document management system within the Total Quality Management (TQM) framework for AI projects has also been established. This AI process has already been applied to several QAI projects. We have surveyed this process with four project managers and two quality assurance (QA) personnel from AI projects, and the results have been very promising.
We hope this process will spark valuable discussions and feedback to enhance AI development at FSOFT and FPT.
Research paper: Software Engineering Process for AI Projects
Le Manh Diem, Nguyen Minh Trang, Tran Ngoc Nguyen, Nguyen Van Vinh
3/21/2025
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