Method and system for optimizing configuration classification of software

A software configuration classification module configured to create a knowledge base intelligently, comprising:

• a software testing tool module configured to test a software system to determine an optimal configuration parameter set, the optimal configuration parameter set determined based on profiling data of the software system;
• a decision tree communicatively coupled to the software testing tool module, the decision tree designed to store a previously tested optimal configuration parameter set at a leaf node and utilized by the software testing tool module to determine an optimal solution for a new software system,
• wherein the new software system is provided by a user;
• a table storing a plurality of desirable decision tree branches, each of the plurality of desirable decision tree branches associated with a corresponding predetermined category of software systems;
• and
• a tree branch module coupled to the decision tree and the table, the tree branch module configured to build a further decision tree branch storing a new optimal configuration parameter set when the decision tree needs to be defined further to classify the new software system,
• wherein the tree branch module is configured to use at least one of the plurality of desirable tree branches selected from the table based on a category of the new software system in order to build the further decision tree branch.

A computer readable medium containing program instructions for classifying a new software system by adding a subset to a decision tree intelligently, the program instructions comprising:

• categorizing the software system;
• searching the decision tree having optimal configurations for a plurality of categorized software systems to determine a configuration parameter set for the software system based on the categorizing of said software system;
• determining whether the configuration parameter set is an optimal configuration for said software system,
• if the configuration parameter set is optimal, using the configuration parameter set for said software system;
• and
• if the configuration parameter set is not optimal, selecting a desirable tree branch, the desirable tree branch limiting the number of test to determine a new optimal solution for the new software based on the received category of the software, and building a further decision tree branch, the further decision tree branch added to the decision tree after the new optimal solution has found,
• wherein a leaf node of the further decision tree branch stores an optimal configuration parameter set for the new software system.