Method and system for generating a predictive analysis of the performance of peer reviews
AssigneeRaytheon Company
InventorJoe H. Lindley
Life of this patent
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Abstract
According to one embodiment of the disclosure, a method for use in software development includes receiving, for a software project, parameters indicative of one or more peer reviews for the software project. The method also includes generating a predictive analysis of the performance of the one or more peer reviews based on the parameters.
Claims15
A computer-implemented method for use in software development, the method comprising:
- receiving, for a software project, a plurality of parameters indicative of one or more peer reviews for the software project;
- and
- generating, by at least one computer system, a predictive analysis of the performance of the one or more peer reviews based on the parameters, wherein generating a predictive analysis of the performance of the one or more peer reviews based on the parameters comprises:
- identifying a desired defect density, the desired defect density indicating defects per lines of code;
- and
- calculating a number of peer reviews to be performed for the desired defect density.
A system for use in software development, comprising:
- a processor;
- and
- a storage device embodying a program of instructions operable, when executed on the processor, to:
- receive, for a software project, a plurality of parameters indicative of one or more peer reviews for the software project;
- generate a predictive analysis of the performance of the one or more peer reviews based on the parameters;
- identify a desired defect density, the desired defect density indicating defects per lines of code;
- and
- calculate a number of peer reviews to be performed for the desired defect density.
A computer readable media having executable instruction stored thereon, the executable instruction being operable, when executed on a processor, to:
- receive, for a software project, a plurality of parameters indicative of one or more peer reviews for the software project;
- generate a predictive analysis of the performance of the one or more peer reviews based on the parameters;
- identify a desired defect density, the desired defect density indicating defects per lines of code;
- and
- calculate a number of peer reviews to be performed for the desired defect density.
Dependencies are inferred from the claim text.