System and method for resource modeling and simulation in test planning

A system comprising:

• a test planning optimization workbench including:
• a processor;
• a memory;
• a test modeling module operable to identify constraints including at least one of a test environment, language and knowledge for a test for test cases, generate a test model from the test cases and test case dependencies, and determine a test estimate effort for each test case by leveraging knowledge of at least one of best practices and an applicable reference project using pre-defined rules, logic or probability tables, wherein the pre-defined rules, logic and probability tables are based on analysis and data-mining of historic data from past projects;
• a cost module operable to generate a cost model based on at least one constraint;
• and
• a resource modeling and simulation module operable to generate a resource plan based on a resource base, the test model, and the cost model, wherein the resource plan allocates resources defined in the resource base to the test cases, minimizes a total cost base on the cost model, conforms to the test case dependencies defined in the test model, and satisfies the at least one constraint defined in the cost model;
• wherein the test model comprises a dependency graph and a critical path.

A computer program product comprising a computer readable storage memory having readable program code embodied in the storage memory, the program code when executed on a computing device causes the computing device to:

• identify constraints including at least one of a test environment, language and knowledge for a test for test cases;
• generate a test model from the test cases and test case dependencies in a test modeling module of a test planning optimization workbench which includes a processor and a memory device;
• determine a test estimate effort for each test case by leveraging knowledge of at least one of best practices and an applicable reference project using pre-defined rules, logic or probability tables, wherein the pre-defined rules, logic and probability tables are based on analysis and data-mining of historic data from past projects;
• generate a cost model in a cost module based on at least one constraint;
• and
• generate a resource plan in a resource modeling and simulation module based on a resource base, the test model, and the cost model, wherein the resource plan allocates resources defined in the resource base to the test cases, minimizes a total cost base on the cost model, conforms to the test case dependencies defined in the test model, and satisfies the at least one constraint defined in the cost model;
• wherein the test model comprises a dependency graph and a critical path.