Research on Software Engineering Planning Integrating Deep Artificial Intelligence and Spatiotemporal Big Data
With the development of information technology,software engineering has gradually become an important pillar of social informatization development.In order to schedule and plan software engineering projects and avoid delayed delivery,a software engineering project schedu-ling model incorporating employee personality traits was studied and constructed,and employee personality traits were obtained through spatiotemporal big data.In order to solve the scheduling model,a heuristic scheduling algorithm considering two priority rules was studied and designed,fully utilizing deep artificial intelligence technology.The results show that the average relative deviation of the algorithm varies under different priority rules.When the number of tasks and skills arc 10 and 2,respectively,the computational time of the algorithm designed by the re-search institute,CPLEX algorithm,and genetic algorithm is 0.39 seconds,627.10 seconds,and 1.88 seconds,respectively.The performance of the algorithm designed by the research institute is more advantageous and can provide technical support for solving scheduling models in soft-ware engineering project planning.
Artificial intelligenceSpace time big dataSoftware engineeringPriority rulesdis-patch
NETL
NSTL
万方数据
