Analyzing the requirements to implement a data analysis model for software process improvement

摘要

Software is everywhere. From simple applications to complicated pieces of software, these software products and services facilitate our day-to-day activities, but they also need to be high-quality products in order to guarantee their reliability, security, good performance, and usability. In this context, software development organizations have highlighted that a product's quality largely depends on the quality of the processes followed to build the software. The Software Process Improvement (SPI) initiative is a set of best practices designed to improve software processes through the evaluation of the current organizational practices, competencies, and experiences. However, these SPI initiatives have presented some issues and challenges that complicate their success and preclude software organizations to get improvements. Most of these issues are related to how organizations manage, analyze, and use their own data to improve software processes. The purpose of this paper is to analyze if the threemost used software repositories cover the key requirements to implement a data analysis model for implementing SPI initiatives. The results show that the three repositories analyzed as they are do not cover the complete requirements to implement a model highlighting the aspects to be improved.