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General Chair MSR 2013 — Call for PapersThomas ZimmermannMicrosoft Research, USA International Working Conference on Mining Software RepositoriesProgram Co-chairs Sponsored by IEEE TCSE and ACM SIGSOFTMassimiliano Di Penta May 18-10, 2013, San Francisco, CA, USA. Co-located with ICSE 2013.University of Sannio, Italy http://msrconf.org twitter: @msrconfSunghun KimHong Kong University of Science and Software repositories such as source control systems, archived communications between projectTechnology, China personnel, and defect tracking systems are used to help manage the progress of software pro- jects. Software practitioners and researchers are recognizing the benefits of mining this infor-Chief of Data mation to support the maintenance of software systems, improve software design/reuse, andDaniel Germán empirically validate novel ideas and techniques. Research is now proceeding to uncover the waysUniversity of Victoria, Canada in which mining these repositories can help to understand software development and software evolution, to support predictions about software development, and to exploit this knowledgeChallenge Chair concretely in planning future development. The goal of this two-day working conference is to ad-Alberto Bacchelli vance the research and practice of software engineering through the analysis of data stored inUniversity of Lugano, Switzerland software repositories.Web Chair This year, MSR solicits three types of papers: research, practice, and data papers. As in previousJulius Davies MSR editions, there will be a Mining Challenge and a special issue of best MSR papers in the Em-University of British Columbia, Canada pirical Software Engineering journal.Program Committee Important DatesTo be announced. Research/practice papers: February 15, 2013 (abstracts: February 8)Please see the conference website. Data papers: March 4, 2013 Challenge papers: March 4, 2013
Call for ArticlesSOFTWARE ANALYTICS: SO WHAT?Special Issue of IEEE SoftwareSubmission Deadline: 15 December 2012Publication: July/August 2013Software analytics are studies of software that lead to actionable changes toprojects. The feedback from analytics should alter decisions relating to thebusiness, management, design, development, or marketing of softwaresystems. These analytics can be applied to both the products of developers(design documents, code, emails between team members) and to data generated by running programs (usage patterns,economic effects of the running system). Often such analytics requires “big data” methods—visualizations or datamining of large datasets.In this special issue, we seek answers to seemingly simple questions: Do these software analytics really work? Inpractice, what has actually been achieved? For a supposedly data-driven field, there are surprisingly few exemplar casestudies in the literature—of both successes and failures—in this area. Hence we have no answer for the business user(or graduate student) who asks, “In this field, what are the best and worst practices, and why?”The guest editors invite articles addressing the practical successes, as well as the practical drawbacks, of softwareanalytics. Such analytics includes the application of data mining tools to SE data (but can also include combinations ofautomatic and manual data analysis). Topics for these submissions include but are not limited to the following: the added value of software analytics to the business community (if, indeed, it exists); the synergies (if any) that can be achieved by combining automatic and human insight about some industrial problems;