زهرا خاتمی

In the current era, artificial intelligence (AI), one of the most advanced technologies to this day, has had a distinct effect on various industries including software development. Considering the complications and challenges raised in software development, utilizing AI technologies can help improve and speed up software development processes. In this research, Rational Unified Process (RUP) and Scrumban software development cycles were studied as practical software development frameworks and the effect of AI on software development processes was thoroughly investigated. RUP cycle is a comprehensive and flexible process framework widely used in large-scale and high-risk projects. The mentioned framework provides better risk management and gradual process improvement by the distribution of projects into different phases with high repeatability. On the other hand, Scrumban, a cycle combined from Scrum and Kanban frameworks, has drawn attention to itself due to its capability in rapid change management, flexibility and alignment with dynamic conditions particularly in rapid development demanding quick response-times.

The main purpose of the present study is to understand the extent and the manner in which productive AI impacts the process of software product development. To achieve this goal, productive AI tools used in software product development-related activities were identified and following initial studies and extraction of the possible impacts of these tools on each activity, a designed survey questionnaire was filled out by ۳۶ professional experts in the three expert clusters of AI, software development and project/product management.  After the calculation of the  correlation coefficient of the received responses and authenticating the respective coefficient, the statistical mode indices of the designed questions were calculated and the questionnaire was thoroughly analyzed. Then, the agreed-upon options for each one of the ۱۱ activities in software product development which represents the possible impacts of AI tools were presented. The results showed that not only AI tools help with the improvement of software products but also shorten development time. Furthermore, implementing AI in these processes raises new challenges which require appropriate strategies and thorough management. Finally, suggestions regarding the utilization of AI in different software development stages were presented for future studies.