CISE 2012 - 2nd International Workshop on Computational Intelligence in Software Engineering (CISE 2012)
Topics/Call fo Papers
Workshop Aim: The CISE workshop focuses on theoretical and applied research related to the utilization of Computational Intelligence techniques in Software Engineering, targeting the provision of alternative, interdisciplinary approaches for tackling problems found in Software Engineering.
The aim of the workshop is to host research papers that present practical solutions to emerging Software Engineering issues by applying Computational Intelligence methods. The workshop is associated with research and development advances in many fields of Software Engineering and particularly the study, analysis, design, modelling, implementation and application of Computational Intelligence techniques that tackle significant Software Engineering problems. The topics of interest call, especially, for papers with theoretical and practical importance, while research papers reporting emerging and innovative ideas are also highly desirable.
Nature-inspired Computational Intelligence methodologies demonstrate adaptive behaviour and learning ability. As such, they can be effectively utilized to address convoluted problems and applications in real-world environments, where traditional methodologies and approaches find highly complex and difficult to tackle. Particularly, techniques associated with learning, reasoning, optimization and decision making, such as Fuzzy Systems, Artificial Neural Networks, Evolutionary Computing, Swarm Intelligence, Artificial Immune Systems, Dempster-Shafer Theory, Chaos Theory and Multi-valued Logic, may be applied in real-world conditions and serve the Software Engineering community.
The integration of Software Engineering with Computational Intelligence is very important to both academic and research communities as well as to software industries. In fact, software development teams adopt a variety of conceptual and algorithmic practices that are combined with Computational Intelligence methods within various areas of Software Engineering, such as Project Management, Risk Analysis, Testing, Cost Estimation and Failure Modelling. Computational Intelligence also provides the means for more precise measurement of software metrics and more effective handling of uncertainty or ambiguity of information.
The CISE workshop welcomes research papers with direct impact or high dependence on practical issues encountered in real-world environments. Industrial- and market-oriented research papers are also highly encouraged. To this end, CISE's Program Committee consists of members not only from academic/research institutions but also from the software industry, and these members will assist in the review process in cases of industrial- and market-related papers.
In particular the topics of the workshop include but are not limited to the following:
Clustering and Classification
Decision Support
Machine Learning
Data Mining
Text Mining & Retrieval
Fuzzy Logic & Systems
Probabilistic Reasoning
Model Learning
Recommender Systems
Expert Systems
Artificial Neural Networks
Evolutionary Algorithms
Ranking Algorithms
Cognitive Processes
Evolutionary Computing
Swarm Intelligence
Artificial Immune Systems
Dempster-Shafer Theory
Chaos Theory
Multi-valued Logic
Ensemble Techniques
Hybrid Approaches
applied to
Requirements Engineering
Software Architectures
Software Methodologies
Software Design
Software Performance
Software Quality Modelling & Assessment
Software Reliability Modelling & Forecasting
Software Maintenance
Software Testing, Verification & Validation
Software Metrics
Software Reuse
Software Project Management
Object-Oriented Development
Open Source Software
Agile Software Development
Software Repository Management
Mobile Software Development
Software Risk Analysis & Modelling
Configuration Management
Component-Based Software Development
Cloud Computing
Web Engineering
The aim of the workshop is to host research papers that present practical solutions to emerging Software Engineering issues by applying Computational Intelligence methods. The workshop is associated with research and development advances in many fields of Software Engineering and particularly the study, analysis, design, modelling, implementation and application of Computational Intelligence techniques that tackle significant Software Engineering problems. The topics of interest call, especially, for papers with theoretical and practical importance, while research papers reporting emerging and innovative ideas are also highly desirable.
Nature-inspired Computational Intelligence methodologies demonstrate adaptive behaviour and learning ability. As such, they can be effectively utilized to address convoluted problems and applications in real-world environments, where traditional methodologies and approaches find highly complex and difficult to tackle. Particularly, techniques associated with learning, reasoning, optimization and decision making, such as Fuzzy Systems, Artificial Neural Networks, Evolutionary Computing, Swarm Intelligence, Artificial Immune Systems, Dempster-Shafer Theory, Chaos Theory and Multi-valued Logic, may be applied in real-world conditions and serve the Software Engineering community.
The integration of Software Engineering with Computational Intelligence is very important to both academic and research communities as well as to software industries. In fact, software development teams adopt a variety of conceptual and algorithmic practices that are combined with Computational Intelligence methods within various areas of Software Engineering, such as Project Management, Risk Analysis, Testing, Cost Estimation and Failure Modelling. Computational Intelligence also provides the means for more precise measurement of software metrics and more effective handling of uncertainty or ambiguity of information.
The CISE workshop welcomes research papers with direct impact or high dependence on practical issues encountered in real-world environments. Industrial- and market-oriented research papers are also highly encouraged. To this end, CISE's Program Committee consists of members not only from academic/research institutions but also from the software industry, and these members will assist in the review process in cases of industrial- and market-related papers.
In particular the topics of the workshop include but are not limited to the following:
Clustering and Classification
Decision Support
Machine Learning
Data Mining
Text Mining & Retrieval
Fuzzy Logic & Systems
Probabilistic Reasoning
Model Learning
Recommender Systems
Expert Systems
Artificial Neural Networks
Evolutionary Algorithms
Ranking Algorithms
Cognitive Processes
Evolutionary Computing
Swarm Intelligence
Artificial Immune Systems
Dempster-Shafer Theory
Chaos Theory
Multi-valued Logic
Ensemble Techniques
Hybrid Approaches
applied to
Requirements Engineering
Software Architectures
Software Methodologies
Software Design
Software Performance
Software Quality Modelling & Assessment
Software Reliability Modelling & Forecasting
Software Maintenance
Software Testing, Verification & Validation
Software Metrics
Software Reuse
Software Project Management
Object-Oriented Development
Open Source Software
Agile Software Development
Software Repository Management
Mobile Software Development
Software Risk Analysis & Modelling
Configuration Management
Component-Based Software Development
Cloud Computing
Web Engineering
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- 2012 International Conference on Biodiversity and Climate Change (ICBCC 2012)
- 2012 International Conference on Chemical Science and Engineering (ICCSE 2012)
Last modified: 2012-02-19 15:10:55