Patent ID: 9020943
Filing Date: 2015-04-28
Classification: G06F

Abstract:
1. A machine-implemented method for automatically categorizing software product defects into two or more categories, the method comprising: identifying first information regarding a first defect; identifying or receiving additional information from a data structure, wherein the additional information is related to an act of categorizing the first defect into a first category, wherein the data structure comprises a rule base which comprises at least one inference rule to mimic a reasoning process of a human expert, and wherein the data structure comprises a keyword database; identifying a first keyword for the first defect based at least in part upon the first information; identifying a plurality of weights for the first keyword wherein values for the plurality of weights are specific to a combination of a given keyword and a given category; accessing, from the keyword database, a first weight for the first keyword with respect to a first category; accessing from the keyword database, a second weight for the first keyword with respect to a second category; categorizing the first defect into the first category, based at least in part on the first weight for the first keyword with respect to the first category; and categorizing the first defect into the second category based at least in part on the second weight for the first keyword with respect to the second category; wherein the second category is distinct different from the first category; wherein the first weight is distinct different from the second weight; and