• Submission: June 30, 2020
  • Notification: July 30
  • Camera ready: Aug 30
  • Meeting: Nov 8

Co-chairs

Tim Menzies : NC State, USA
Mei Nagappan : U.Waterloo, Canada

Proceedings chair

David Bowes : Lancaster Uni., UK

promise20@easychair.org

Program Committee

TBD

About

 PROMISE is an annual forum for researchers and practitioners to present, discuss and exchange ideas, results, expertise and experiences in construction and/or application of predictive models and data analytics in software engineering. PROMISE encourages researchers to publicly share their data in order to provide interdisciplinary research between the software engineering and data mining communities, and seek for verifiable and repeatable experiments that are useful in practice

Program

 TBD

Notes (from call for Papers)

The workshop goal is to:

  • Exchange research work on exploring new ideas, metrics, and algorithms in software prediction;
  • Discuss emergent challenges in software prediction;
  • Propose and ideally converge on a research road map for the next 5-10 year.

Accordingly, we ask for papers on related topics that include (but are not limited to) the following:

  • Experiences and lessons learned on the strengths and limitations of current software predictive models; (i.e. how reliable are existing methods?)
  • Challenges and barriers to adopt current models and methodologies in the context of new software technologies, such as crowdsourcing, architecture migration, cloud service composition, etc.
  • Roles of automation in improving predictive power in software estimation.
  • New metrics and models to better measure, search and recommend the underlying causal relationships of cost, schedule, and quality, etc.
  • Trends and needs of emergent software planning practices and impact on software estimation;
  • Research agenda for maturing and enriching software planning decision models.

Publication

All accepted papers will appear in the ACM Digital Library.

Special Issue

Following on from this meeting, there will be a special issue in the Empirical Software Engineering Journal on "Inventing the next generation of software analytics". Like this conference meeting, this special issue will ask authors to comment on the success and failings of software analytics over the last 20 years and will ask "what and how can we do it better in future?".

The special issue will have the same guest editors as the co-PC chairs of this conferences. Where possible, that special issue will also try to use the same reviewers as PROMISE'20. The special issue will be open to the entire SE community.

Submission

Full papers: max 10 pages (+2 pages refs).
Vision statements: max 4 pages (including refs)

Submit at goo.gl/bEuolb, PDF format= goo.gl/XxBwt.

Authors should use US letter style. LaTeX users should use this their document class: 

\documentclass[conference]{IEEEtran}
% The compsoc option is not to be used.