Evidence-based Software Engineering

• 1 Introduction
• 2 Human cognition 
• 3 Cognitive capitalism
• 4 Ecosystems
• 5 Projects
• 6 Reliability
• 7 Source code
• 8 Stories told by data
• 9 Probability
• 10 Statistics
• 11 Regression modeling
• 12 Miscellaneous techniques
• 13 Experiments
• 14 Data preparation
• 15 Overview of R

This book discusses what is currently known about software engineering, based on an analysis of all the publicly available data. This aim is not as ambitious as it sounds, because there is not a great deal of data publicly available.

The intent is to provide material that is useful to professional developers working in industry; until recently researchers in software engineering have been more interested in vanity work, promoted by ego and bluster.

The material is organized in two parts, the first covering software engineering and the second the statistics likely to be needed for the analysis of software engineering data.