System and method for identifying optimal test cases for software development

A computerized system for identifying a test case stored in a test case repository, the system comprising:

• a computer comprising a processor and a memory;
• a natural language processing module stored in the memory of the computer and, when executed by the processor, configured to:
• receive an input containing a requirement;
• apply a natural language processing rule to the input to generate a first output;
• and
• tokenize the first output into a set of tokens comprising a first search token;
• an analytics module stored in the memory of the computer and, when executed by the processor, configured to:
• cluster the first search token with a first quantification metric, whereby the first quantification metric is retrieved from a master database based upon a correlation between the first search token and a first persistent term associated with the first quantification metric;
• cluster the first search token with a first test case, whereby the first test case is retrieved from the test case repository based upon a correlation between the first search token and a tokenized description associated with the first test case;
• score the first search token based upon the first quantification metric;
• score the first test case based upon the score of the first search token;
• and
• a reporting module stored in the memory of the computer and, when executed by the processor configured to generate a report comprising the score of first test case.