Software repositories such as source control systems, archived communications between project personnel, and defect tracking systems are used to help manage the progress of software projects. Software practitioners and researchers are recognizing the benefits of mining this information to support the maintenance of software systems, improve software design/reuse, and empirically validate novel ideas and techniques. Research is now proceeding to uncover the ways in which mining these repositories can help to understand software development and software evolution, to support predictions about software development, and to exploit this knowledge in planning future development. The goal of this two-day international conference is to advance the science and practice of software engineering via the analysis of data stored in software repositories.
This year, we solicit three types of papers: research, practice, and data. As in previous MSR editions, there will be a Mining Challenge and a special issue of the best MSR papers published in the Empirical Software Engineering journal. For the research and practice papers, we especially encourage submissions that facilitate reproducibility and follow up research by publicly providing data sets and tools. Publicly providing reusable research artifacts (data or tools) is not mandatory, but will strengthen the reproducibility of the research, which is an explicit evaluation criterion.
The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of ICSE 2017. The official publication date affects the deadline for any patent filings related to published work. Purchases of additional pages in the proceedings is not allowed.
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
05月20日
2017
05月21日
2017
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