The Art and Science of Analyzing Software Data

Past, Present, and Future of Analyzing Software Data
Part 1 TUTORIAL-TECHNIQUES
Mining Patterns and Violations Using Concept Analysis Analyzing Text in Software Projects Synthesizing Knowledge from Software Development Artifacts A Practical Guide to Analyzing IDE Usage Data Latent Dirichlet Allocation: Extracting Topics from Software Engineering Data Tools and Techniques for Analyzing Product and Process Data
PART 2 DATA/PROBLEM FOCUSSED
Analyzing Security Data A Mixed Methods Approach to Mining Code Review Data: Examples and a Study of Multicommit Reviews and Pull Requests Mining Android Apps for Anomalies Change Coupling Between Software Artifacts: Learning from Past Changes
PART 3 STORIES FROM THE TRENCHES
Applying Software Data Analysis in Industry Contexts: When Research Meets Reality Using Data to Make Decisions in Software Engineering:

Providing a Method to our Madness Community Data for OSS Adoption Risk Management Assessing the State of Software in a Large Enterprise: A 12-Year Retrospective Lessons Learned from Software Analytics in Practice
PART 4 ADVANCED TOPICS
Code Comment Analysis for Improving Software Quality Mining Software Logs for Goal-Driven Root Cause Analysis Analytical Product Release Planning
PART 5 DATA ANALYSIS AT SCALE (BIG DATA)
Boa: An Enabling Language and Infrastructure for Ultra-Large-Scale MSR Studies Scalable Parallelization of Specification Mining Using Distributed Computing

Bird, Christianis a researcher in the empirical software engineering group at Microsoft Research. He is primarily interested in the relationship between software design, social dynamics, and processes in large development projects. He has studied software development teams at Microsoft, IBM, and in the Open Source realm, examining the effects of distributed development, ownership policies, and the ways in which teams complete software tasks. He has published in the top Software Engineering venues and is the recipient of the ACM SIGSOFT distinguished paper award.