The PROMISE conference provides an annual forum for researchers and practitioners to present and exchange ideas, results, and experiences with predictive models that are applicable to implementation, evaluation, and management of software processes and projects.

A key objective of PROMISE is to help establish verifiable and repeatable models that are useful to the software engineering community.
Scope
Traditionally, PROMISE meetings have primarily focused on effort and defect prediction. PROMISE 2010 is also expanding its scope to include non-traditional predictive models regarding the business, team, human, people, process, and organizational aspects of software engineering. Predictive models related to software development efforts in particular application domains (e.g., healthcare) are encouraged as well.

The topics of interest include but are not limited to:

* Effort prediction models
* Defect prediction models
* Meta-analysis and generalizations of predictive models exploring certain questions (e.g., defect prediction)
* Replicated studies contributing to theory building in software engineering
* Predicting various intermediate or final outcomes of interest regarding business, team, human, people, process, and organizational aspects of software engineering, as well as the product aspects
* Privacy and ethical issues in data sharing and predictive modeling
* Qualitative research guiding and informing the process of building future predictive models
* Instance-based models predicting outcomes by examining similarities to earlier experiences
* Industrial experience reports detailing the application of software technologies - processes, methods, or tools - and their effectiveness in industrial settings.
* Tools for software researchers that effectively gather and analyze data to support reproducible and verifiable research.

Data
The PROMISE on-line repository provides researchers and practitioners a central location where they can store the data they use to make their conclusions, and access models and data used by other researchers and practitioners, The repository now contains 89 data sets, which can be used to repeat/confirm/refute/improve previous results. Conference attendees are encouraged to provide their datasets to the PROMISE repository, to be used for experiments and as benchmarks by other researchers.

Following the tradition of the PROMISE effort, PROMISE 2010 will give the highest priority to empirical studies based on publicly available datasets. Conducting reproducible, verifiable, and refutable research is an important goal of PROMISE. A public data set is defined as a data set made available online to the general public. All other data sets are considered proprietary data sets (e.g., those made available only to certain individuals with agreements restricting public distribution). To increase the chance of acceptance, authors are urged to submit papers that use public datasets. Data can come from anywhere including the PROMISE repository .

Submissions should be five to ten pages long (max), and must be original and previously unpublished.
Kinds of papers

Full papers:

* For completed results, to be critically reviewed by the full program committee.

Student symposium papers:

* For work-in-progress. Such papers will be reviewed, but more "helpfully" than "critically", for the student symposium.

Publication
Full Papers presented at PROMISE 2010 will be published in the ACM digital library.

Student symposium papers will not be published in ACM but will be listed in our program as a PROMISE paper.
Special Issue
Extended versions of selected papers from prior PROMISE workshops appeared in IEEE Software, Empirical Software Engineering journal, and the Journal of Information and Software Technology.

Exceptional student symposium papers may be candidates for special issues.

For PROMISE'10, the special issue will be in the journal of Empirical Software Engineering (guest editors Gunes Koru and Tim Menzies).
Prizes

Awards will be given for best full paper and best student symposium paper.