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This special track seeks high-quality original and unpublished papers in the following topics including but not limited to these topics: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

Paper submission instructions will be announced at http://www.bionetics.org/. All accepted papers will be published by Springer.

A selected number of best papers will be considered for publication in leading journals such as ACM Transactions on Autonomous and Adaptive Systems (TAAS; http://taas.acm.org/), Int'l Journal of Autonomous and Adaptive Communications Systems (IJAACS; http://www.inderscience.com/browse/ index.php?journalCODE=ijaacs), and Nano Communication Networks Journal (http://www.elsevier.com/locate/nanocomnet).

Important Dates:

Paper Submission Deadline: July 16
Notification of Acceptance: September 12
Camera Ready Deadline: October 10
Conference date: December 1 to 3
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
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
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