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.

Topics of Interest

Application oriented:

Theory oriented:

Data oriented:

Validity oriented:


Important Dates


Journal Special Issue


Kinds of Papers

We invite theory and empirical studies on the topics of interest (e.g. case studies, meta-analysis, replications, experiments, simulations, surveys etc.), as well as industrial experience reports detailing the application of predictive modelling and data analytics in industrial settings. Both positive and negative results are welcome, though negative results should still be based on rigorous research and provide details on lessons learned. It is encouraged, but not mandatory, that conference attendees contribute the data used in their analysis on-line. Submissions can be of the following kinds:



Submissions must conform to the ACM SIG proceedings templates (, and within 10(4) pages for full(short) papers, including references. Papers should be submitted via EasyChair:

Submissions should not be published or under review elsewhere while being considered.

Accepted papers will be published in the ACM Digital Library within its International Conference Proceedings Series and will be available electronically via the ACM DL.

Programme Committee

Steering Committee

General Chair

PC Co-Chairs

Publication Chair

Publicity and Social Media Chair

Local Organization Chair