Eternal Systems
First International Workshop, EternalS 2011, Budapest, Hungary, May 3, 2011, Revised Selected Papers
Published on 4. July 2012
VIII, 128 pages
978-3-642-28033-7 (ISBN)
Description
This book constitutes the refereed post-proceedings of the First International Workshop on Eternal Systems, EternalS 2011, held in Budapest, Hungary, in May 2011. The workshop aimed at creating the conditions for mutual awareness and cross-fertilization among broad ICT areas such as learning systems for knowledge management and representation, software systems, networked systems and secure systems, by focusing on their shared objectives such as adaptation, evolvability and flexibility for the development of long living and versatile systems. The 6 revised full papers and 4 short papers presented were carefully reviewed and selected from 15 submissions. They are organized in topical sections on software and secure systems, machine learning for software systems, and ontology and knowledge representations.
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Alessandro Moschitti | Riccardo Scandariato
Eternal Systems
First International Workshop, EternalS 2011, Budapest, Hungary, May 3, 2011, Revised Selected Papers
Book
01/2012
1st Edition
Springer
€53.49
Shipment within 7-9 days
Content
- Title
- Preface
- Organization
- Table of Contents
- Software and Secure Systems
- Comparing Structure-Oriented and Behavior-Oriented Variability Modeling for Workflows
- Introduction
- Case Example
- Structure-Oriented Variability Modeling
- Behavior-Oriented Variability Modeling
- Related Work
- Conclusion and Perspectives
- References
- Towards Verification as a Service
- Introduction
- Related Work
- Verification as a Service
- Verification Workflows
- Workflow Execution
- Evolution
- Application Scenario
- Conclusion and Future Work
- References
- Requirements-Driven Runtime Reconfiguration for Security
- Introduction
- Change Patterns
- Reconfiguration
- Related Work
- Architectural Evolution
- Run-Time Adaptability
- Conclusion and Outlook
- References
- Machine Learning for Software Systems
- Large-Scale Learning with Structural Kernels for Class-Imbalanced Datasets
- Introduction
- Cutting Plane Algorithm with Sampling
- Improving CPA with Sampling
- Sampling Strategy for Imbalanced Data
- Parallelization
- Experimental Evaluation
- Related Work
- Conclusions
- References
- Combining Machine Learning and Information Retrieval Techniques for Software Clustering
- Introduction
- Related Works
- The Proposed Approach to Cluster Software Systems
- Feature Extraction and Zones
- Probabilistic Model
- Clustering
- K-Medoids
- Group Average Agglomerative Clustering
- Experimental Assessment
- Measures
- Data Sets
- Results and Discussion
- Conclusions
- References
- Reusing System States by Active Learning Algorithms
- Introduction
- Online Conference Service
- Active Learning
- Reusing System States
- Domain-Specific Reuse of System States
- Case Study
- Conclusions
- References
- Ontology and Knowledge Representations
- Inferring Affordances Using Learning Techniques
- Introduction
- Automatic Service Composition
- Affordances
- Legacy Applications
- Affordance Learning
- Typical Interface
- Learning Problem
- Potential Solution: Machine Learning of Categorisers
- Introduction to Machine Learning
- Representations for Categorisation
- Conclusions
- References
- Predicting User Tags Using Semantic Expansion
- Introduction
- Related Research
- Wikipedia as the Source of Knowledge
- Overview of the Proposed Framework
- Bag-of-Articles Classifier
- Alternative Approaches for Predicting User-Tags
- Wordnet-Based Classification
- Filename-Based Classification
- Evaluation
- Closed Set Annotation
- Open Set Annotation
- Conclusion and Future Work
- References
- LivingKnowledge: A Platform and Testbed for Fact and Opinion Extraction from Multimodal Data
- Introduction
- Testbed Analysis Platform
- Data Representation
- Testbed Architecture
- Extracting Facts and Opinions
- Text Analysis
- Image Analysis
- Page Layout Analysis
- Multimedia Applications
- Media Content Analysis
- Future Predictor
- Conclusion
- References
- Behaviour-Based Object Classifier for Surveillance Videos
- Introduction
- Object Classification Based on Geometrical Features
- Geometrical Features Extraction
- Trajectory
- Shape Ratio
- Velocity
- Experimental Results
- Conclusions and Future Work
- References
- Author Index
