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.

Highlights

  • Rule-based methods have traditionally been applied to develop knowledge-based systems that replicate expert performance on a deep but narrow problem domain

  • One approach to reducing this burden is knowledgeenhanced search: a search tool that integrates higher-level coaching about structures it can analyze with text-based matching for structures that it cannot

  • A search tool must go beyond a simple text matching engine on Service Oriented Architecture (SOA) artifacts because such artifacts require interpretation

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Summary

SOA MAINTENANCE CHALLENGES

To illustrate the problem of understanding SOA, consider an example from WebAutoParts.com, one of the composite applications in our Open SOALab collection of resources for SOA teaching and research [19]. WebAutoParts.com (Fig. 2) is a hypothetical online automobile parts supplier that uses external services to facilitate agile development. As is true for many SOA composite applications that are based on the Web Services standards, the main artifacts that describe WebAutoParts are BPEL program code, WSDL service interface descriptions and XSD data type definitions

RELATED WORK
INTELLIGENT SEARCH FOR SOA MAINTENANCE
A KNOWLEDGE-BASED SYSTEM FOR SOA ABSTRACTION
Rationale for Using a Rule-Based System
System Architecture
Design of the Knowledge Base
Example Application
EVALUATION CASE STUDY AND RESULTS
Compact data type summaries
High-level BPEL invoke relationships
The evaluation study and its results
EVALUATION RESULTS FOR THE INITIAL RULE SET
CONCLUSIONS

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