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Journal article
A knowledge-based system approach for extracting abstractions from service oriented architecture artifacts
International Journal of Advanced Research in Artificial Intelligence (IJARAI), Vol.2, pp.45-52
2
2013
Abstract
Rule-based methods have traditionally been applied to develop knowledge-based systems that replicate expert performance on a deep but narrow problem domain. Knowledge engineers capture expert knowledge and encode it as a set of rules for automating the expert’s reasoning process to solve problems in a variety of domains. We describe the development of a knowledge-based system approach to enhance program comprehension of Service Oriented Architecture (SOA) software. Our approach uses rule-based methods to automate the analysis of the set of artifacts involved in building and deploying a SOA composite application. The rules codify expert knowledge to abstract information from these artifacts to facilitate program comprehension and thus assist Software Engineers as they perform system maintenance activities. A main advantage of the knowledge-based approach is its adaptability to the heterogeneous and dynamically evolving nature of SOA environments.
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- Title
- A knowledge-based system approach for extracting abstractions from service oriented architecture artifacts
- Publication Details
- International Journal of Advanced Research in Artificial Intelligence (IJARAI), Vol.2, pp.45-52
- Resource Type
- Journal article
- Publisher
- The Science and Information Organization Inc.; United States
- Series
- 2
- Format
- pdf
- Copyright
- This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
- Identifiers
- 99380090351106600
- Academic Unit
- Computer Science; Hal Marcus College of Science and Engineering
- Language
- English