We have created a defect prediction model for Agile projects. This model is trained on attributes like iteration duration, story point sum, story count, and team velocity. The model output is iteration wise defect count for each severity type (critical, high, medium, low). This model can predict the defect count once a release is planned and the iteration and story details are passed as inputs into the model. Neural network is used as the model. I'll share information from  patent of a similar invention. Please tell me what are the differences between my model and the patented invention. Please include purpose, algorithm and techniques, input attributes and output along with other differences. 
ABSTRACT
<P>PROBLEM TO BE SOLVED: To provide a system for predicting number-of-defects countermeasure man-hour, which supports quality management of a software development project (PJ), predicts the number of remaining defects in each defect sort and predicts total defect countermeasure man-hour in each defect attribute. <P>SOLUTION: The system for predicting number-of-defects countermeasure man-hour includes: a number-of-defects prediction model preparation part 11 for preparing a number-of-defects prediction model for predicting the number of defects in each defect attribute based on defect result information extracted in a past project; a number-of-defects prediction calculation part 14 for predicting the number of remaining defects in each defect attribute based on the number-of-defects prediction model prepared by the number-of-defects prediction model preparation part 11 and the project defect result information of the project to be predicted; and a defect countermeasure man-hour prediction conversion part 17 for predicting the total defect countermeasure man-hour based on the number of remaining defects in each defect attribute, which is predicted by the number-of-defects prediction calculation part 14 and the result countermeasure man-hour in each past defect attribute. <P>COPYRIGHT: (C)2011,JPO&INPIT

CLAIMS
1. A method for predicting the number of defects / countermeasure man-hours in a defect / countermeasure man-hour predicting device that predicts the number of remaining defects and countermeasure man-hours in a software development project,A defect number prediction model for predicting the number of defects for each defect attribute is created based on defect result information extracted in a past project by the defect number / countermeasure man-hour predicting device, the defect number prediction model, and a prediction target The number of remaining defects for each defect attribute is predicted based on the project defect record information of the project, and the total number of defect countermeasure steps is calculated based on the number of remaining defects for each defect attribute and the past number of countermeasures for each past defect attribute. Predicting the number of defects and countermeasure man-hours.

2. This is a system for predicting the number of defects and countermeasure man-hours that predict the number of remaining defects and countermeasure man-hours in software development projects.A defect number prediction model creating unit that creates a defect number prediction model for predicting the number of defects for each defect attribute based on defect result information extracted in the past project,Based on the failure number prediction model created by the failure number prediction model creation unit and the project failure record information of the project to be predicted, a failure number prediction calculation unit that predicts the number of remaining failures for each failure attribute;
A failure countermeasure man-hour prediction conversion unit that predicts the total defect countermeasure man-hours based on the number of remaining defects for each defect attribute predicted by the defect number prediction calculation unit and the actual countermeasure man-hours for each past defect attribute The number of defects and countermeasure man-hour prediction system characterized by.

3. In the defect number / countermeasure man-hour prediction system according to claim 2,The failure countermeasure man-hour prediction conversion unit predicts the total defect countermeasure man-hours according to characteristics of profile information in which a profile of the project is stored.

4. In the defect number / countermeasure man-hour prediction system according to claim 2 and 3,A defect number / countermeasure man-hour prediction system, comprising: a display processing unit that displays on a display device the countermeasure man-hour planned by the project, the predicted remaining defect number, and the total defect countermeasure man-hour. .