Software analytics: achievements and challenges

Abstract

A huge wealth of various data exist in the practice of software development. Further rich data are produced by modern software and services in operation, many of which tend to be data-driven and/or data-producing in nature. Hidden in the data is information about the quality of software and services or the dynamics of software development. Software analytics is to utilize a data-driven approach to enable software practitioners to perform data exploration and analysis in order to obtain insightful and actionable information; such information is used for completing various tasks around software systems, software users, and software development process. This tutorial presents achievements and challenges of research and practice on principles, techniques, and applications of software analytics, highlighting success stories in industry, research achievements that are transferred to industrial practice, and future research and practice directions in software analytics.