The Art and Science of Analyzing Software Data provides valuable information on analysis
techniques often used to derive insight from software data. This book shares best practices …

With software analytics, software practitioners explore and analyze data to obtain insightful,
actionable information for tasks regarding software development, systems, and users. The …

The scale and speed of today's software development efforts impose unprecedented
constraints on the pace and quality of decisions made during planning, implementation, and …

Despite large volumes of data and many types of metrics, software projects continue to be
difficult to predict and risky to conduct. In this paper we propose software analytics which …

Data Science for Software Engineering: Sharing Data and Models presents guidance and
procedures for reusing data and models between projects to produce results that are useful …

Software analytics is to enable software practitioners to perform data exploration and
analysis in order to obtain insightful and actionable information for data-driven tasks around …

Software systems are designed and engineered to process data. However, software is data
too. The size and variety of today's software artifacts and the multitude of stakeholder …

Software engineering data (such as code bases, execution traces, historical code changes,
mailing lists, and bug databases) contains a wealth of information about a project's status …

This report discusses the state-of-the-art, as well as recent advances in the use of data
mining techniques as applied to software process and product information. This report …

Empirical studies have become an important part of software engineering research and
practice. Ten years ago, it was rare to see a conference or journal article about a software …