Pattern abstraction engine

A non-transitory computer readable storage medium

• structured to store instructions executable by the processor to generate an abstract representation for source code of an application the instructions
• when executed by the processor cause the processor to:
• receive the source code in a programming language;
• identify a plurality of blocks in the source code using first patterns;
• classify two or more of the plurality of blocks into a logic block that corresponds to a business rule;
• extract a plurality of knowledge elements from the logic block using second patterns;
• classify the plurality of knowledge elements using third patterns;
• determine context for the plurality of knowledge elements using user defined rules;
• generate the abstract representation of the source code in a standard format independent of the programming language of the source code using a dynamic rule and a fourth pattern, wherein the abstract representation includes the plurality of knowledge elements, wherein each of the first, second, third, and fourth patterns matches at least a part of the source code, and wherein each of the first, second, third, and fourth patterns comprises a predefined pattern or a dynamic pattern input
• hatch a dynamic pattern when no predefined pattern matches a part of the source code, wherein the dynamic pattern is created using fuzzy-neural rules and dynamic rules and is determined to be stored in a store;
• and
• identify the context of the plurality of knowledge elements in the abstract representation.

A system for generating an abstract representation for source code of an application, the system comprising:

• a processor;
• a non-transitory computer readable medium;
• a contextual pattern decoder engine configured for receiving the source code in a programming language;
• a pattern classification engine configured for identifying a plurality of blocks in the source code using first patterns, and classifying two or more of the plurality of blocks into a logic block that corresponds to a business rule;
• a pattern conversion engine configured for extracting a plurality of knowledge elements from the logic block using second patterns, wherein the pattern classification engine is further configured for classifying the plurality of knowledge elements using third patterns, and the contextual pattern decoder engine is further configured for determining context for the plurality of knowledge elements using user defined rules;
• a pattern abstraction engine configured for generating the abstract representation of the source code in a standard format independent of the programming language of the source code using a dynamic rule and a fourth pattern, wherein the abstract representation includes the plurality of knowledge elements, wherein each of the first, second, third, and fourth patterns matches at least a part of the source code, and wherein each of the first, second, third, and fourth patterns comprises a predefined pattern or a dynamic pattern;
• and
• a pattern hatcher engine configured for hatching a dynamic pattern when no predefined pattern matches a part of the source code, wherein the dynamic pattern is created using fuzzy-neural rules and dynamic rules and is determined to be stored in a contextual taxonomy store segment, wherein the pattern conversion engine is further configured for identifying the context of the plurality of knowledge elements in the abstract representation.