2016计算智能与软件工程国际研讨会(CiSE 2016)

Welcome Message

The 8th Int'l Conference on Computational Intelligence and Software Engineering (CiSE 2016) will be held from May 29 to 31, 2016 in Nanjing, China. This Conference will cover issues on Computational Intelligence and Software Engineering. It dedicates to creating a stage for exchanging the latest research results and sharing the advanced research methods. 

CiSE 2016 is devoted to the advancement of Computational Intelligence and Software Engineering. Computational intelligence (CI) is a set of nature-inspired computational methodologies and approaches to address complex real-world problems to which traditional approaches, i.e., first principles modeling or explicit statistical modeling, are ineffective or infeasible. Software engineering is the study and an application of engineering to the design, development, and maintenance of software. The scope of CiSE 2016 is including, but not limited to the following topical subheadings: artificial intelligence, data mining, parallel and distributed computing, and software engineering.

CiSE 2016 will be a valuable and important platform for inspiring international and interdisciplinary exchange at the forefront of Computational Intelligence and Software Engineering. The Conference will bring together academicians, scientists, engineers, and technicians from all over the world, and we hope that you will take this opportunity to join us for academic exchange and visit the city of Nanjing.

Topics of Submission

You are invited to submit papers and participate in our academic exchange.

The conference is soliciting state-of-the-art research papers in the following areas of interest:

 

Artificial Intelligence 

Artificial Immune Systems 

Autonomy-Oriented Computing 

Artificial Neural Systems 

Bayesian Learning 

Biological Computing 

DNA Computing 

Evolutionary Programming 

Evolutionary Algorithms 

Image Understanding 

Intelligent Systems 

Knowledge Discovery 

Learning Algorithms 

Machine Learning 

Multi-Agent Systems 

Multi-Objective Evolutionary Algorithms 

Neural Networks 

Particle Swarm Optimization 

Probabilistic Reasoning 

Reinforcement Learning 

Supervised Learning 

Swarm Intelligence 

Probabilistic Learning 

Data Mining 

Discovering Patterns in Continuous Data 

Uncertainty Management for Data Mining 

Clustering Algorithms and Applications 

Classification Trees 

Mining Time Series 

Mining in a Mobile Environment 

Statistical Considerations in Learning 

XML Mining 

Text Mining 

Distributed Data Mining 

Database Querying 

Database Querying and Static Routing Algorithms 

Cryptography 

Security and Reliabilities Issues 

Software Engineering 

Agile Software Development 

Autonomic and Self-Managed Software 

Computer-Supported Collaborative Work 

Component-based Software Engineering 

Configuration Management and Deployment 

Dependendability, Safety and Reliability 

Distributed, Web-Based and Internet-Scale SE 

Empirical Software Engineering 

End-User Software Engineering 

Engineering Secure Software 

Feature Interaction and Generative Programming 

Human and Social Aspects 

Knowledge-Based Software Engineering 

Mobile, Embedded and Real-Time Systems 

Model-driven Software Engineering 

Patterns and Frameworks 

Processes and Workflow 

Program Comprehension and Visualization 

Requirements Engineering 

Reengineering and Reverse Engineering 

Quality and Performance 

Service-oriented Architectures and Applications 

Software Architecture and Design 

Software Economics and Metrics 

Software Evolution 

Software Maintenance 

Software Policy and Ethics 

Software Reuse 

Software Specifications 

Testing and Analysis 

Theory and Formal Methods 

Tools and Environments 

Validation and Verification 

Parallel and Distributed Computing 

MPI and Multicore Computing 

GPU and Heterogeneous Computing 

MapReduce and Distributed Computing 

Scheduling 

Cache and Storage 

Cloud, P2P and Mobile Computing