Proceedings Article | 29 November 2021
KEYWORDS: Data storage, Data processing, Software development, Data acquisition, Quality systems, Clouds, Information technology, Internet, Failure analysis, Analytical research
With the rapid development of the new generation of information technology, the foundation and core role of software are becoming more and more prominent, with more and more applications and complex functions, larger and larger code scale, more and more software quality problems, and more and more software quality data are generated in the software life cycle. In today's big data era, through the effective collection, management and application of these software quality data, the utilization of software quality data can be effectively improved, so as to improve software quality. Based on this, this paper studies the whole life cycle quality data of software, including fault data for software quality improvement, process data for software quality risk prevention and evaluation data for software quality evaluation, for the concept, development, testing, use and maintenance, decommissioning stages of software life cycle. At the same time, this paper studies the requirements definition, collection, transmission, processing, storage, application and sharing of software quality data lifecycle management methods. This can support the construction of software quality data resources, provide decision-making basis for software quality management activities, and help to improve software quality.
