Detecting emergent behavior in distributed systems using an ontology based methodology

Lack of central control makes the design of distributed software systems a challenging task because of possible unwanted behavior at runtime, commonly known as emergent behavior. Developing methodologies to detect emergent behavior prior to the implementation stage of the system can lead to huge sav...

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Bibliographic Details
Main Authors: Moshirpour, M., Alhajj, R., Moussavi, M., Far, B. H.
Format: Conference Proceeding
Language:English
Subjects:
Accidents
Distributed systems
Emergent behavior
Graphical user interfaces
Message sequence charts
Ontologies
Ontology
Roads
Scenario based specification
Semantics
Unified modeling language
Vehicle to vehicle communication
Vehicles
Online Access:Request full text
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Description
Summary:Lack of central control makes the design of distributed software systems a challenging task because of possible unwanted behavior at runtime, commonly known as emergent behavior. Developing methodologies to detect emergent behavior prior to the implementation stage of the system can lead to huge savings in time and cost. However manual review of requirements and design documents for real-life systems is inefficient and error prone; thus automation of analysis methodologies is considered greatly beneficial. This paper proposes the utilization of an ontology-based approach to analyze system requirements expressed by a set of message sequence charts (MSC). This methodology involves building a domain-specific ontology of the system, and examines the requirements based on this ontology. The advantages of this approach in comparison with other methodologies are its consistency and increased level of automation. The effectiveness of this approach is explained using a case study of an IntelliDrive system.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2011.6084038