22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2014), November 16–21, 2014, Hong Kong, China

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Software Analytics: Achievements and Challenges
Hall 2
Software Analytics: Achievements and Challenges
Dongmei Zhang and Tao Xie
Abstract: A huge wealth of various data exists 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, user experiences, as well as the dynamics of software development. Software analytics is to develop and apply data exploration and analysis technologies, such as pattern recognition, machine learning, and information visualization, on software data in order to empower software practitioners to obtain insightful and actionable information for modern software and services. This 90-minute 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 have transferred to industrial practice, and future directions in software analytics. Attendees will acquire the skills and knowledge needed to perform research or conduct practice in the field of software analytics and to integrate analytics in their own research, practice, or teaching.


Time stamp: 2019-08-19T02:02:09+02:00