AISE 2010 - Special Track on Artificial Intelligence and Software Engineering

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This special track seeks high-quality original and unpublished papers in the following topics including but not limited to these topics: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 16
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?journ...)
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