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.

George Goehring, Thomas Reichherzer, Eman El-Sheikh, Dallas Snider, Norman Wilde, Sikha Bagui, John Coffey and Laura J. White, “A Knowledge-Based System Approach for Extracting Abstractions from Service Oriented Architecture Artifacts” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(3), 2013. http://dx.doi.org/10.14569/IJARAI.2013.020307

@article{Goehring2013,
title = {A Knowledge-Based System Approach for Extracting Abstractions from Service Oriented Architecture Artifacts},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2013.020307},
url = {http://dx.doi.org/10.14569/IJARAI.2013.020307},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {3},
author = {George Goehring and Thomas Reichherzer and Eman El-Sheikh and Dallas Snider and Norman Wilde and Sikha Bagui and John Coffey and Laura J. White}
}