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活动简介

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.

征稿信息

重要日期

2017-02-03
摘要截稿日期
2017-02-10
初稿截稿日期

征稿范围

  • 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

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重要日期
  • 会议日期

    05月20日

    2017

    05月21日

    2017

  • 02月03日 2017

    摘要截稿日期

  • 02月10日 2017

    初稿截稿日期

  • 05月21日 2017

    注册截止日期

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