DAPSE 2013 - CALL FOR PAPERS

International Workshop on Data Analysis Patterns in Software Engineering
May 21, 2013, San Francisco, CA, USA.

Web: http://research.microsoft.com/en-us/events/dapse2013/

Workshop in conjunction with ICSE 2013
http://2013.icse-conferences.org/

CALL FOR PAPERS

Data scientists in software engineering seek insight in data collected from software projects to improve software development. The demand for data scientists with domain knowledge in software development is growing rapidly and there is already a shortage of such data scientists.

Data science is a skilled art with a steep learning curve. To shorten that learning curve, this workshop will collect best practices in form of data analysis patterns, that is, analyses of data that leads to meaningful conclusions and can be reused for comparable data. In the workshop we will compile a catalog of such patterns that will help both experienced and emerging data scientists to better communicate about data analysis. The workshop is intended for anyone interested in how to analyze data correctly and efficiently in a community accepted way.

SUBMISSIONS

We solicit papers (2-3 pages) describing one or more data analysis pattern. Authors should use the form that is most suited to describe the pattern. Where possible, we encourage authors to describe pattern as follows (for more details and illustrative examples please visit the web-page): pattern name: a handle for the pattern; problem: when to apply the pattern; solution: how to apply the pattern; consequence: results and trade-offs of applying the pattern, common mistakes in applying the pattern to be avoided, etc.; examples: brief summary and/or example applications of the pattern in literature; if possible, R snippets or Weka code, etc.

There are two options for submitting a proposal.

Archival Papers: Submit the pattern by February 7, 2013. If accepted, it will be published in the workshop proceedings and the ACM and IEEE Digital Libraries.

Non-Archival Papers: Submit the paper by April 24, 2013; we will send the notification within two weeks. If accepted, the paper will be published on the workshop web-pages only; non-archival papers will not be published in the workshop proceedings and the ACM and IEEE Digital Libraries.

Both archival and non-archival papers will be reviewed by a program committee and accepted based on the clarity of the description and how broadly their proposed pattern might be applicable. Prior application of the pattern by the authors is not a requirement. This workshop is more interested in the mechanics and choice of the data analysis than the impact of published results.

Upon notification of acceptance, all authors of accepted archival papers will be asked to complete an IEEE Copyright form and will receive further instructions for preparing their camera ready versions. At least one author of each paper is expected to present the paper at the workshop.

All submitted papers must conform to the ICSE 2013 formatting and submission instructions and must not exceed the page limits mentioned above, including figures and references.
http://2013.icse-conferences.org/content/submission-guidelines

All submissions must be in English. Papers must be submitted electronically, in PDF format, using the submission site hosted by EasyChair:
https://www.easychair.org/conferences/?conf=dapse2013

It is the desire of the organizers that discussion of research at the workshop does not preclude publication of closely related material at conferences or journals. Authors of accepted papers will be able to choose whether to include their papers in the workshop proceedings.

IMPORTANT DATES

Workshop submissions (archival papers): February 7, 2013
Notification of authors: February 28, 2013
Camera-ready copy: March 7, 2013
Non-archival submissions accepted until: April 24, 2013

FORMAT OF THE WORKSHOP

The workshop will consist of the following sessions:

Lightning session. Authors of accepted papers will give a lightning talk in the morning to present their proposed pattern (about 5-10 minutes depending on the number of accepted papers).

Discussion session. This session has two goals: (1) Group the patterns into pattern types. (2) Refine the pattern groups and the interactions between patterns. For example, we expect that some patterns could be composed into more powerful patterns while other patterns could be split into smaller pattern.

Breakout session. For the next session, participants will break out into groups and try to use the data analysis patterns to solve several data science tasks provided by the workshop organizers. The tasks will come from academic research but also from industry. The goal of this session is to assess the usefulness as well as the completeness of the patterns identified. We expect that patterns will be refined and new patterns will be discovered. At the end of the session each group presents their findings in a 5 minute blitz presentation.

Before the workshop there will be a blog to promote and discuss accepted patterns.

After the workshop there will be a Dagstuhl seminar on software development analytics building on the outcomes of this workshop, to which selected authors will be invited. Furthermore the organizers plan to edit a book on "Data Science for Software Engineers" with a collection of data analysis patterns. Selected authors from the workshop will be invited to contribute chapters to this book.

WORKSHOP ORGANIZERS

Christian Bird, Microsoft Research, USA
Tim Menzies, West Virginia University, USA
Thomas Zimmermann, Microsoft Research, USA

PROGRAM COMMITTEE

Lionel Briand, University of Luxembourg, Luxembourg
Yuanfang Cai, Drexel University, USA
Prem Devanbu, University of California at Davis, USA
Massimiliano Di Penta, University of Sannio, Italy
Harald Gall, University of Zurich, Switzerland
Michael Godfrey, University of Waterloo, Canada
Tracy Hall, Brunel University, UK
Shi Han, Microsoft Research, China
Ahmed Hassan, Queen's University, Canada
Abram Hindle, University of Edmonton, Canada
Sung Kim, Hongkong University of Science and Technology, China
Michele Lanza, University of Lugano, Switzerland
Audris Mockus, Avaya Labs Research, USA
Emerson Murphy-Hill, North Carolina State University, USA
Venkatesh-Prasad Ranganath, Microsoft Research, India
Romain Robbes, University in Chile, Chile
Pete Rotella, Cisco Systems, USA
Anita Sarma, University of Nebraska, USA
Carolyn Seaman, University of Maryland, USA
Martin Shepperd, Brunel University, UK
Burak Turhan, University of Oulu, Finland
Stefan Wagner, University of Stuttgart, Germany
Patrick Wagstrom, IBM, USA
Laurie Williams, North Carolina State University, USA
Ye Yang, Chinese Academy of Sciences, China

We look forward to receiving your submissions and seeing you in San Francisco in May!

Chris Bird, Tim Menzies, and Thomas Zimmermann