Optimization of Software Engineering Supervision Based on Machine Learning Algorithm

Sound supervision regulations and technical standards, forming a professional supervision team, and implementing the software engineering project supervision system are not only the common practice and successful experience in the world, but also the objective requirements of the software industry and the only way for the healthy development of the software industry. This paper establishes a comprehensive mathematical optimization model for the quality, cost, construction period and resources of software engineering supervision, and makes comprehensive optimization of multiple objectives. The improved machine learning algorithm is applied to the optimization process of the parts project supervision network plan, and the algorithm flow of the software engineering supervision network plan optimization is designed satisfactory solution.