Research on Software Quality Supervision Methods in Typical Application Scenarios
With the increasingly obvious characteristics of equipment systematization and informatization,software is becoming more and more important.However,software quality issues have strong concealment and diverse fault phe-nomena,so its quality management is difficult.In order to enhance the effectiveness of quality supervision and prevent software quality issues,a framework for software quality supervision methods is innovatively constructed based on knowledge graph technology.Key intelligent recommendation technologies such as TF-IDF and SIM models are ana-lyzed,and an intelligent Q&A processing flow is designed.Focusing on of four scenarios of,"new equipment","new problems","new acceptance",and"new risks"encountered in the process of equipment software quality su-pervision,the specific application model is studied,which provides an effective means for equipment software quality supervision,especially for problem solving and quality risk prevention.
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维普
