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 associate 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; associate 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; characterized in that, after a user acceptance is received by the reporting module, the analytics module being further configured to: update the first quantification metric within the master database based upon at least data related to the user acceptance of the first test case. 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 associate 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; associate 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 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 associate 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; associate 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; characterized in that, after a user acceptance is received by the reporting module, the analytics module being further configured to: update the first quantification metric within the master database based upon at least data related to the user acceptance of the first test case.