As software engineering is requested to answer dynamic, automated, adaptive, optimal and/or large-scale demands, other computer science disciplines come to play. Artificial Intelligence is one of them that may bring software engineering into further height. Conversely, software engineering techniques also play an important role to alleviate development cost and time of AI techniques as well as assist in introducing new AI techniques. Such mutually beneficial characteristics have appeared in the past few decades and still evolved due to new challenges.

The objective of the special track on Artificial Intelligence and Software Engineering is to provide a forum for researchers and industry practitioners to exchange and discuss latest innovative "synergistic" AI and software engineering techniques/practices. Namely, we are interested in AI solutions to software engineering challenges, software engineering practices to answer AI obstacles, and techniques that could benefit these realms bi-directionally.

This special track seeks high-quality original and unpublished papers in the following topics including but not limited to these topics:

• AI techniques for optimization, transformation, and configuration management
• AI techniques for software reuse, evolution, maintenance and refactoring
• AI techniques for ontology and other semantic aspects in software engineering
• AI techniques for business process management and business rules
• AI techniques for reverse engineering and program understanding
• AI techniques for aspect mining and pattern mining
• AI techniques for testing and quality assurance
• AI techniques for performance engineering (e.g., performance approximation, monitoring, and adaptation)
• AI techniques for software specification, design, integration and requirement engineering
• AI techniques for software analysis and validation
• AI techniques for cost analysis and risk assessment in software projects
• Agent-based software engineering
• Visual modeling and model-driven development for AI techniques
• Domain modeling and software language engineering (e.g., domain-specific languages) for AI techniques
• Service-oriented computing and Cloud computing for AI-based techniques/software
• Object-oriented and aspect-oriented frameworks to implement and evaluate AI techniques
• Formal methods for AI techniques
• Rapid prototyping and scripting for AI techniques
• Software for knowledge acquisition and representation
• Software metrics applied to AI techniques
• Search engines in AI
• User interfaces for AI techniques

AI techniques of interest include (but are not limited to):

• Machine Learning (unsupervised and supervised learning)
• Evolutionary Algorithms (e.g. GA, GP, ES)
• Swarm Intelligence
• Simulated Annealing
• Tabu Search
• Probabilistic Reasoning
• Fuzzy Logic
• Neural Networks
• Petri Nets
• Data Mining
• Game Theory
• Time Series Analysis
• Logic and reasoning
• Knowledge representation
• AI planning

Paper Submission:

Authors are invited to submit papers in the following categories:

• Regular papers: Up to 15 pages
• Short papers: Up to 2 pages
• Work-in-progress papers: Up to 6 pages
• Demo papers: Up to 4 pages

Papers must follow the Springer LNICST format. Please visit http://www.bionetics.org/ submission.shtml for detailed submission instructions.

Important Dates:

• Regular paper submission due: July 30
• Short, work-in-progress and demo paper submission due: September 19
• Notification of acceptance for regular papers: September 12
• Notification of acceptance for short, work-in-progress and demo papers: September 30
• Camera ready due: October 10

Publication:

All accepted paper will be published by Springer. A selected number of best papers will be considered for publication in leading journals such as:

• Int'l Journal of Software Engineering and Knowledge Engineering (http://www.worldscinet.com/ijseke/ijseke.shtml)
• ACM Trans. on Autonomous and Adaptive Systems (http://taas.acm.org/)
• Int'l Journal of Autonomous and Adaptive Communications Systems (http://www.inderscience.com/browse/index.php?journalCODE=ijaacs)
• Journal of Ambient Intelligence and Humanized Computing (http://www.springer.com/engineering/journal/12652)

Program Committee Memebers:

• Andrea Arcuri, Simula Research Laboratory, Norway
• Ebrahim Bagheri, National Research Council Canada , Canada
• David Benavides, University of Seville, Spain
• Yu Cao, California State University, Fresno, USA
• Wei Ding, University of Massachusetts Boston, USA
• Federico Divina, Pablo de Olavide University of Seville, Spain
• Bogdan Filipic, Jozef Stefan Institute, Slovenia
• Maria Ganzha, Polish Academy of Sciences, Poland
• Dragan Gasevic, Athabasca University, Canada
• Pedro Henriques, University of Minho, Portugal
• James Hill, Indiana University Purdue University Indianapolis, USA
• Ming Li, Nanjing University, China
• Chien-Hung Liu, National Taipei University of Technology, Taiwan
• Ivan Lukovic, University of Novi Sad, Serbia
• Marcin Paprzycki, Polish Academy of Sciences, Poland
• Adnan Salihbegovic, University of Sarajevo, Bosnia and Herzegovina
• Thamar Solorio, University of Alabama at Birmingham, USA
• Richard Torkar, Blekinge Institute of Technology, Sweden
• Hiroshi Wada, National ICT Australia, Australia
• Jules White, Vanderbilt University, USA
• Hui Wu, University of Alabama at Birmingham, USA
• Chengcui Zhang, University of Alabama at Birmingham, USA
• Du Zhang, California State University, Sacramento, USA
• Yuming Zhou, Nanjing University, China

Track Co-Chairs:

• Shih-Hsi "Alex" Liu, California State University, Fresno, USA
  
• Marjan Mernik, University of Maribor, Slovenia