Papers may address issues along the general themes, including but not limited to the following:

• Analysis of software ecosystems and mining of repositories across multiple projects
• Models for social and development processes that occur in large software projects
• Prediction of future software qualities via analysis of software repositories
• Models of software project evolution based on historical repository data
• Characterization, classification, and prediction of software defects based on analysis of software repositories
• Techniques to model reliability and defect occurrences
• Search-driven software development, including search techniques to assist developers in finding suitable components and code fragments for reuse, and software search engines
• Analysis of change patterns and trends to assist in future development
• Visualization techniques and models of mined data
• Techniques and tools for capturing new forms of data for storage in software repositories, such as effort data, fine-grained changes, and refactoring
• Characterization of bias in mining and guidelines to ensure quality results
• Privacy and ethics in mining software repositories
• Meta-models, exchange formats, and infrastructure tools to facilitate the sharing of extracted data and to encourage reuse and repeatability
• Empirical studies on extracting data from repositories of large long-lived and/or industrial projects
• Methods of integrating mined data from various historical sources
• Approaches, applications, and tools for software repository mining
• Mining software licensing and copyrights
• Mining execution traces and logs
• Mining code review repositories
• Mining interaction data repositories
• Mining mobile app stores and app reviews
• Analysis of natural language artifacts in software repositories
• Energy aware mining
• Studies of programming language features and their usage in code corpuses