We invite you to submit original, high quality papers to the Search-Based Software Engineering (SBSE) track of the Genetic and Evolutionary Computation Conference (GECCO 2018).
After a few years as part of a combined track, SBSE is for the second consecutive year the subject of its own dedicated track at GECCO and we encourage you to continue supporting the track with your original contribution.
Note also this year GECCO invites shorter "poster-only" papers (2 pages) in addition to full-length technical papers (8 pages); see: http://gecco-2018.sigevo.org/index.html/Call+for+Papers for details. We encourage the community to submit short poster-only papers to present new ideas which are not fully empirically evaluated as well as new framework/tools for search-based software engineering.
All accepted papers will be published in the ACM Digital Library. Moreover, the authors of best selected papers accepted for the SBSE track will be invited to submit an extended version of their paper for a special section in the Elsevier Journal of Information and Software Technology (IST).
Please, find the full CfP below.
Kind regards,
Federica Sarro (f.sarro@ucl.ac.uk<mailto:f.sarro@ucl.ac.uk>), Associate Professor, CREST, University College London, United Kingdom
and
Giuliano Antoniol (antoniol@ieee.org<mailto:antoniol@ieee.org>), Professor of Software Engineering, Department of Computer and Software Engineering of the Polytechnique Montreal, Canada
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CALL FOR PAPERS
Search-Based Software Engineering (SBSE) Track @ Genetic and Evolutionary Computation Conference (GECCO) 2018
http://gecco-2018.sigevo.org/
**********KEY DATES**********
Conference: 15-19 July 2018, Kyoto, Japan
Abstract Submission: 30th January 2018 (non-extensible)
Paper Submission: 6th February 2018 (non-extensible)
**********KEY LINKS**********
Track Details: http://gecco2018.sigevo.org/index.html/Program+Tracks#id_SBSE%20-%20Search-Based%20Software%20Engineering
Paper Submission General Information: http://gecco-2018.sigevo.org/index.html/Call+for+Papers
Paper Submission Instructions: http://gecco-2018.sigevo.org/index.html/Papers+Submission+Instructions
**********SBSE TRACK DESCRIPTION**********
Search-Based Software Engineering (SBSE) is the application of search algorithms and strategies to the solution of software engineering problems.
Evolutionary computation is a foundation of SBSE, and since 2002 the SBSE track at GECCO has provided the unique opportunity to present
SBSE research in the widest context of the evolutionary computation community. Last but not least, participating to the SBSE track and, more generally, to GECCO allows to be informed by advances in evolutionary computation, new cutting edge meta-heuristic ideas, novel search strategies, approaches and findings.
We invite papers that address problems in the software engineering domain through the use of heuristic search techniques.
We particularly encourage papers demonstrating novel search strategies or the application of SBSE techniques to new problems in software engineering. Papers may also address the use of methods and techniques for improving the applicability and efficacy of search-based techniques when applied to software engineering problems.
While empirical results are important, papers that do not contain strong empirical results - but instead present new sound approaches, concepts, or theory - are also very welcome.
Moreover, this year for the first time we encourage the submission of both full papers and poster-only papers describing negative results as well as industrial reports on the practical use of search-based approaches. Moreover poster-only papers presenting frameworks/tools for search-based software engineering are also welcomed.
**********SCOPE**********
As an indication of the wide scope of the field, search techniques include, but are not limited to: Ant Colony Optimization, Automatic Algorithm configuration and Parameter Tuning, Estimation of Distribution Algorithms, Evolutionary Computation, Hybrid and Memetic Algorithms, Hyper-heuristics, Iterated Local Search, Particle Swarm Optimization, Simulated Annealing, Tabu Search, Variable Neighbourhood Search.
The software engineering tasks to which they are applied are drawn from throughout the software lifecycle and include, but are not limited to:
Automated Software Design and Hyper-Heuristics; Automatic Algorithm Selection and Configuration; Configuring Cloud-Based Architectures; Creating Recommendation Systems to Support Life Cycle (Software Requirement, Design, Development, Evolution and Maintenance, etc.); Developing Dynamic Service-Oriented Systems; Enabling Self-Configuring/Self-Healing/Self-Optimizing Systems; Network Design and Monitoring; Optimizing Functional and Non-Functional Software Properties (Genetic Improvement); Predictive Modelling for Software Engineering Tasks; Project Management and Organization; Regression Test Optimization; Requirements Engineering; Software Evolution, Maintenance, Program Repair, Refactoring and Transformation; Software Security; System and Software Integration; Test Data Generation.
**********REVIEW PROCESS**********
Each paper submitted to the track will be rigorously evaluated in a double-blind review process. Paper evaluation at GECCO occurs on a per-track basis, ensuring high interest and expertise of the reviewers. Review criteria include significance of the work, technical soundness, novelty, clarity, writing quality, and sufficiency of information to permit replication, if applicable.
**********PROCEEDINGS**********
All accepted papers will be published in the ACM Digital Library.
**********SPECIAL SECTION IN THE INFORMATION AND SOFTWARE TECHNOLOGY JOURNAL FOR THE BEST PAPERS**********
The authors of best selected papers accepted in the SBSE track will be invited to submit an extended version of their paper for a special section in the Elsevier Journal of Information and Software Technology (IST).
GECCO is sponsored by the Association for Computing Machinery Special Interest Group for Genetic and Evolutionary Computation (ACM SIGEVO).
===================================================================================================================================================
--
Dr. Federica Sarro
Senior Lecturer (Associate Professor)
CREST, Department of Computer Science
University College London
Malet Place, London, WC1E 6BT, UK
http://www0.cs.ucl.ac.uk/staff/F.Sarro/
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