<html><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">PROMISE'12<br>The 8th International Conference on Predictor Models in Software Engineering<br>Sep 21-22, 2012, Lund, Sweden: <a href="http://promisedata.org/2012/">http://promisedata.org/2012/</a><br><br>(Co-located with ESEM 2012)<br><br>IMPORTANT DATES:<br>Submissions due: April 16, 2012<br>Author notification: May 14, 2012<br>Camera ready copy due: June 11, 2012<br><br>KEYNOTE SPEAKERS:<br>Martin Shepperd: "The scientific basis for prediction research"<br>Sung Kim: "Defect, Defect, Defect: Defect Prediction 2.0"<br><br>ABOUT:<br>This international conference seeks repeatable methods for building<br>verifiable models, useful for implementation, evaluation, & management<br>of software development projects (both in general or for specific<br>domains like telecom, finance, scientific applications, etc).<br><br>THEME:<br>The theme of PROMISE'12 is the next generation of empirical SE<br>(next-gen). While we encourage submission of the traditional style of<br>PROMISE papers, we also seek "next gen" papers that extend this area<br>in significant new directions (see "kinds of papers" below)<br><br>TOPICS:<br>Topics of interest include but are not limited to:<br><br>* Effort prediction models<br>* Defect prediction models<br>* Meta-analysis and generalizations of predictive models exploring<br>certain questions<br>* Replicated studies<br>* Predicting various intermediate or final outcomes of interest<br>regarding business, team, human, people, process, and organizational<br>aspects of software engineering<br>* Privacy and ethical issues in sharing and modeling<br>* Qualitative research guiding and informing the process of building<br>future predictive models<br>* Instance-based models predicting outcomes by examining similarities<br>to past experiences<br>* Industrial experience reports detailing the application of software<br>technologies - processes, methods, or tools - and their effectiveness<br>in industrial settings.<br>* Tools for software researchers that effectively gather and analyze<br>data to support reproducible and verifiable research.<br><br>KINDS OF PAPERS:<br>This conference encourages both standard papers and next-gen papers<br>(and note that only next-gen papers can be submitted for consideration<br>to the special journal issue associated with this conference).<br><br>Standard papers focus on prediction systems; e.g. L learners applied<br>to D data sets in some M*N cross-val. For an excellent examples of<br>L*D*M*N studies, see TSE pre-prints and the papers by Hall et al.<br><a href="http://goo.gl/XRWuk">http://goo.gl/XRWuk</a> (for defect prediction) and Dajaeger et al.<br><a href="http://goo.gl/UNO4E">http://goo.gl/UNO4E</a> (for effort prediction). For such standard papers,<br>we strongly discourage results based on<br><br>- just a few data sets in domains where many data sets are available<br>available in the PROMISE repository;<br>- tiny effects sizes: e.g. an MMRE improvement of 10% when in data<br>sets where the MMRE can range up to 10,000%;<br>- the "broken" PROMISE data sets (see comments at <a href="http://promisedata.org/?p=30">http://promisedata.org/?p=30</a>).<br><br>Next-gen papers focus on all the issues that surround predictive<br>models. For discussions on next generation predictive modeling see (a)<br>the ICSE'11 tutorial on Empirical SE, version 2.0 at<br><a href="http://goo.gl/MWzlq">http://goo.gl/MWzlq</a>; or (b) the "Special Issue Notes" at<br><a href="http://goo.gl/b3E05">http://goo.gl/b3E05</a>. Issues relevant to next-gen papers include, but<br>are not restricted to the following:<br><br>+ Before a predictive model is built:<br>++ Privacy concerns of the individual and the corporate must be addressed.<br>++ Training data data quality must be assessed : see <a href="http://goo.gl/QE5au">http://goo.gl/QE5au</a>.<br>+ When building a predictive model:<br>++ It is important that the tools are run correctly, as discussed in<br><a href="http://goo.gl/qtc9o">http://goo.gl/qtc9o</a>;<br>+ After the predictors are built:<br>++ Prediction systems could be used in decision making for project<br>managers (e.g. as done in <a href="http://goo.gl/AIqC4">http://goo.gl/AIqC4</a> or <a href="http://goo.gl/y7Agm">http://goo.gl/y7Agm</a>).<br><br>DATA:<br>PROMISE'12 will give the highest priority to empirical studies based<br>on publicly available datasets. It is therefore encouraged, but it is<br>not mandatory, that conference attendees contribute the data used in<br>their analysis to the on-line PROMISE data repository. The repository<br>currently holds 142 data sets, which can be used to<br>repeat/confirm/refute/improve previous results.<br><br>SPECIAL ISSUE:<br><br>Papers accepted to PROMISE'12 may also be submitted to a forthcoming<br>special journal issue on "Empirical Software Engineering, version<br>2.0".<br>Authors with good reviews from PROMISE'12 are strongly encouraged to<br>submit to this special issue since several reviewers used for<br>PROMISE'12 will also review papers for this issue. It is a requirement<br>for all submissions to the special issue to have some section called<br>"Empirical SE, V2.0" that discusses next gen issues; i.e. how their<br>work fits into the broader picture beyind just building a predictor<br>(see notes, above).<br><br>The venue for that special issue is TBD. Previous PROMISE special<br>issues have appeared in IEEE Software, the Empirical Software<br>Engineering Journal, and the Information and Software Technology<br>Journal.<br><br>SUBMISSIONS:<br><br>* Submissions must be original work, not published or under review elsewhere.<br>* Submissions must conform to the ACM SIG proceedings templates from<br><a href="http://goo.gl/wE1k">http://goo.gl/wE1k</a>.<br>* Papers must not exceed 10 pages (including references).<br>* Papers should be submitted to via Easychair:<br><a href="http://www.easychair.org/conferences/?conf=promise2012">http://www.easychair.org/conferences/?conf=promise2012</a>.<br>* Accepted papers will be published in the ACM digital library.<br><br>ORGANIZATION:<br><br>Steering Committee:<br><br>Ayse Bener, Ryerson University, Canada (i-Promise)<br>Tim Menzies, West Virginia University, USA (General Chair)<br>Burak Turhan, University of Oulu, Finland (Publicity Chair)<br>Stefan Wagner, University of Stuttgart, Germany (PC Chair)<br>Ye Yang, Chinese Academy of Science, China (Proceedings Chair)<br>Du Zhang, Sacramento State University, USA (Local Organization Chair)<br><br>Programme Committee:<br><br>Lefteris Angelis, University of Thessaloniki<br>Ayse Bener, Ryerson University<br>David Bowes, University of Herfordshire<br>Daniela da Cruz, University of Minho<br>Bojan Cukic, West Virginia University<br>Bernd Fischer, University of Southampton<br>Harald Gall, University of Zürich<br>Dragan Gašević, Athabasca University<br>Greg Gay, University of Minnesota<br>Tracy Hall, Brunel University<br>Mark Harman, University College<br>Rachel Harrison, Oxford Brookes University<br>Jacky Keung, Hong Kong Polytechnic University<br>Rainer Koschke, University of Bremen<br>Ken-ichi Matsumoto, Nara Institute of Science and Technology<br>Thilo Mende, University of Bremen<br>Tim Menzies, West Virginia University<br>Leandro Minku, University of Birmingham<br>Sandro Morasca, University of Insubria<br>Tom Ostrand, AT&T<br>Massimiliano di Penta, University of Sannio<br>Daniel Rodriguez, University of Alcalá<br>Alessandra Russ, Imperial College<br>Alessandro Sarcia, University of Rome<br>Martin Shepperd, Brunel University<br>Burak Turhan, University of Oulu<br>Stefan Wagner, University of Stuttgart<br>Laurie Williams, North Carolina State University<br>Ye Yang, Chinese Academy of Science<br>Du Zhang,Sacramento State University<br>Hongyu Zhang, Tsinghua University<br>Tom Zimmermann, Microsoft</body></html>