ICST '11 Proceedings of the 2011 Fourth IEEE International Conference on Software Testing, Verification and Validation
Software analytics as a learning case in practice: approaches and experiences
Proceedings of the International Workshop on Machine Learning Technologies in Software Engineering
Performance debugging in the large via mining millions of stack traces
Proceedings of the 34th International Conference on Software Engineering
Information needs for software development analytics
Proceedings of the 34th International Conference on Software Engineering
Software analytics in practice: mini tutorial
Proceedings of the 34th International Conference on Software Engineering
Healing online service systems via mining historical issue repositories
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
XIAO: tuning code clones at hands of engineers in practice
Proceedings of the 28th Annual Computer Security Applications Conference
Performance Issue Diagnosis for Online Service Systems
SRDS '12 Proceedings of the 2012 IEEE 31st Symposium on Reliable Distributed Systems
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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.