posted by organizer: dfucci || 1934 views || tracked by 10 users: [display]

PROMISE 2015 : The 11th International Conference on Predictive Models and Data Analytics in Software Engineering

FacebookTwitterLinkedInGoogle


Conference Series : Predictive Models in Software Engineering
 
Link: http://promisedata.org/2015/
 
When Oct 21, 2015 - Oct 21, 2015
Where Beijing, China
Submission Deadline Jun 17, 2015
Notification Due Jul 20, 2015
Final Version Due Jul 27, 2015
 

Call For Papers

************************************************************************************************************
CALL FOR PAPERS
PROMISE 2015 - The 11th International Conference on Predictive Models and Data Analytics in Software Engineering
http://promisedata.org/2015/
October 21, 2015, Beijing, China
Sponsored by Microsoft Research
Co-located with ESEM 2015 - 9th International Symposium on Empirical Software Engineering and Measurement
************************************************************************************************************

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. Such models and analyses could be targeted at: planning, design, implementation, testing, maintenance, quality assurance, evaluation, process improvement, management, decision making, and risk assessment in software and systems development. PROMISE is distinguished from similar forums with its public data repository and focus on methodological details, providing a unique interdisciplinary venue for software engineering and data mining communities, and seeking for verifiable and repeatable experiments that are useful in practice.


Topics of Interest
-----------------------

Topics of interest include, but are not limited to:

Application oriented:
- using predictive models and software data analytics in policy and decision-making;
- predicting for cost, effort, quality, defects, business value;
- quantification and prediction of other intermediate or final properties of interest in software development regarding people, process or product aspects;
- using predictive models and data analytics in different settings, e.g. lean/agile, waterfall, distributed, community-based software development;
- dealing with changing environments in software engineering tasks;
- dealing with multiple-objectives in software engineering tasks.

Theory oriented:
- model construction, evaluation, sharing and reusability;
- interdisciplinary and novel approaches to predictive modeling and data analytics that contribute to the theoretical body of knowledge in software engineering;
- verifying/refuting/challenging previous theory and results;
- combinations of predictive models and search-based software engineering;
- the effectiveness of human experts vs. automated models in predictions.

Data oriented:
- contributions to the repository;
- data quality, sharing, and privacy;
- ethical issues related to data collection;
- metrics;
- tools and frameworks to support researchers and practitioners to collect data and construct models to share/repeat experiments and results.


Student Poster Competition
-------------------------------------

This year we will also have a student poster competition open to short papers whose lead author is a student. The papers may have co-authors, but the student must be the lead author and present the poster at the conference. A letter confirming the enrolment of the student in a university will be required upon paper acceptance. Posters will be judged by a panel during the conference.


Kinds of Papers
-----------------------

We invite all kinds of 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.

Following the tradition, PROMISE 2015 will give the highest priority to studies based on publicly available datasets. It is therefore encouraged, but not mandatory, that conference attendees contribute the data used in their analysis to the on-line PROMISE data repository (http://openscience.us/). We also encourage authors to submit their source codes to the repository.

Submissions can be of the following kinds:
- Full papers (oral presentation): papers with novel and complete results.
- Short papers (oral presentation): papers to disseminate on-going work and preliminary results for early feedback, or vision papers about the future of predictive modelling and data analytics in software engineering.
- Short paper (student poster competition): papers to disseminate on-going work and preliminary results for early feedback.



Keynote
-----------------------

Keynote by Dr. Dongmei Zhang from Microsoft Research, China.


Important dates
-----------------------

Submission deadline: June 17th, 2015
Notification date: July 20th, 2015
Camera-ready copy: July 27th, 2015 (TBA)


Submissions
-----------------------

PROMISE 2015 submissions must meet the following criteria:
- be original work, not published or under review elsewhere;
- conform to the ACM SIG proceedings templates from http://goo.gl/wE1k
- not exceed 10 (4) pages for full (short) papers including references;
- papers should be submitted via EasyChair (please choose the paper category appropriately): https://easychair.org/conferences/?conf=promise2015

Accepted papers will be published in the ACM digital library.


Organisation
-----------------------

Steering Committee:
Ayse Bener, Ryerson University, Canada
Leandro Minku, University of Birmingham, UK
Massimiliano Di Penta, University of Sannio, Italy
Burak Turhan, University of Oulu, Finland
Hongyu Zhang, Microsoft Research, China

General Chair:
Ayse Bener, Ryerson University, Canada

PC Chair:
Leandro Minku, University of Birmingham, UK

Publicity Chair:
Massimiliano Di Penta, University of Sannio, Italy

Publication Chair:
Burak Turhan, University of Oulu, Finland

Local Organization Chair:
Hongyu Zhang, Microsoft Research, China


Program Committee:

Lefteris Angelis, Aristotle University of Thessaloniki, Greece
Gabriele Bavota, Free University of Bozen-Bolzano, Italy
Olga Baysal, Montreal University, Canada
Ayse Bener, Ryerson University, Canada
Bora Caglayan, Ryerson University, Canada
Thomas Fritz, University of Zurich, Switzerland
Tracy Hall, Brunel University, UK
Mark Harman, University College London, UK
Rachel Harrison, Oxford Brookes University, UK
Jacky Keung, City University of Hong Kong, China
Foutse Khomh, DGIGL École Polytechnique de Montréal, Canada
Ekrem Kocaguneli, Microsoft, USA
Chris Lokan, University of New South Wales, Australia
Lech Madeyski, Wroclaw University of Technology, Poland
Emilia Mendes, Blekinge Institue of Technology, Sweden
Tim Menzies, North Carolina State University, USA
Leandro Minku, University of Birmingham, UK
Massimiliano Di Penta, University of Sannio, Italy
Rudolf Ramler, Software Competence Center Hagenberg, Austria
Daniel Rodriguez, The University of Alcalá, Spain
Federica Sarro, University College London, UK
Martin Shepperd, Brunel University, UK
Qinbao Song, Xi'an Jiaotong Unversity, China
Ayse Tosun Misirli, Istanbul Technical University, Turkey
Burak Turhan, University of Oulu, Finland
Stefan Wagner, University of Stuttgart, Germany
Hironori Washizaki, Waseda University, Japan
Dietmar Winkler, Vienna University of Technology, Austria
Yang Ye, Stevens Institute of Technology, USA
Hongyu Zhang, Microsoft Research, China
Yuming Zhou, Nanjing University, China

Related Resources

ADAH 2017   Advanced Data Analytics in Health
PROMISE 2017   13th International Conference on Predictive Models and Data Analytics in Software Engineering
ICCDE--Ei and Scopus 2018   ACM - 2018 International Conference on Computing and Data Engineering (ICCDE 2018)--Ei Compendex and Scopus
SI Wiley SPE 2018   Call for Papers for Special Issue on Integration of Cloud, IoT and Big Data Analytics
ICDE 2018   ICDE 2018 : 20th International Conference on Data Engineering
MLPMEA 2017   Special Session On Machine Learning for Predictive Models in Engineering Applications, ICMLA 2017
DCTA 2017   Data Analytics: Concepts, Techniques and Applications
UMUAI SI 2018   UMUAI SI on Multimodal Learning Analytics & Personalized Support Across Spaces
ACM--ICCDE--Ei, Scopus 2018   ACM - 2018 International Conference on Computing and Data Engineering (ICCDE 2018)--Ei Compendex and Scopus
ICCAIAIT 2018   First International Conference on Contemporary Advances in Innovative & Applicable Information Technology