Software Analytics: Data Analytics for Software Engineering
Speakers: Tao Xie
Topic(s): Artificial Language/Machine Learning,Knowledge Discovery in Data,Operating Systems,Security & Information Protection,Software Engineering,Web Topics
A huge wealth of various data exists in software life cycle, including source code, feature specifications, bug reports, test cases, execution traces/logs, and real-world user feedback, etc. Data plays an essential role in modern software development, because hidden in the data is information about the quality of software and services as well as the dynamics of software development. Software analytics is to utilize data-driven approaches to enable software practitioners to perform data exploration and analysis in order to obtain insightful and actionable information for completing various tasks around software systems, software users, and software development process. The viewpoints and example work described in this talk are primarily drawn from recent work in the Software Analytics group (http://research.microsoft.com/groups/sa/) of Microsoft Research Asia.
About this Lecture
Number of Slides: 50
Duration: 60 minutes
Languages Available: English
Last Updated: 06-10-2014
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