Patent ID: 9501274
Filing Date: 2016-11-22
CPC Classification: G06F

Claim Text:
1. A method for correlating user feedback with program code, the method comprising: a computer receiving a first set of one or more tags associated with a first section of code of one or more sections of code, wherein the one or more sections of code correspond to an application; the computer identifying feedback corresponding to the application, wherein the feedback contains a first set of one or more terms, and wherein identifying feedback corresponding to the application further comprises the computer utilizing a method selected from the group consisting of natural language processing, character recognition techniques, and markup language analysis to: the computer computing feedback statistics, wherein the feedback statistics include a code section associated with a largest amount of feedback, a code section associated with a largest amount of positive feedback, and a code section associated with a largest amount of negative feedback; the computer determining whether at least one term of the first set of one or more terms corresponds to at least one tag in the first set of one or more tags; and based on determining that at least one term of the first set of one or more terms corresponds to at least one tag in the first set of one or more tags, the computer associating the feedback with the first section of code.