A software enhancement system for embedded software development

This paper proposes a rule-based expert system model to assist developers in enhancing the quality of embedded software. The expert system supports semi-automated source code enhancements from multiple perspectives including optimization, reconfiguration to achieve quality of service (QoS) trade-offs, conformance to coding standards, etc., by defining a rule base that is composed of modularized and extensible rule sets. The rule sets are composed of re-usable rules; the rules capture the in-depth knowledge of different software experts. The expert system also adopts a technique to support automated fact generation. This allows the expert system to support processing programs developed in different programming languages