SYSTEM AND METHOD FOR IDENTIFYING FAULT PRONE COMPUTER CODE FILES

Patent №

US 9,268,665

Granted

2016-02-23

Filed 2011

Owner

GOOGLE INC.

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13190599

Metrics associated with computer code files within a codebase may be analyzed to identify bug-prone files. Functions of the method or system may determine metrics corresponding to each file of a plurality of codebase files within an application codebase. The functions may also store the metrics corresponding to each codebase file in a record of a database table, rank order the plurality of codebase files according to at least one metric, and flag each codebase file having a ranking over a threshold value of the metric. The codebase file metrics may describe fault-inducing characteristics of the plurality of codebase files and include both a total number of previous faults and a total number of changes that are associated with each codebase file.

AI classification

Knowledge representation1.00
Planning1.00
AI hardware0.92
Machine learning0.73
Vision0.00
Speech0.00
Evolutionary computation0.00
Natural language0.00

Ownership

GOOGLE INC.

assignment · 266470848

Assignors

BARROW, FLINT, NICOLO, SIMONE

On an employer assignment, the assignors are typically the inventors.

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