IDENTIFYING IMPACTED TESTS FROM STATICALLY COLLECTED DATA

Patent №

US 9,389,986

Granted

2016-07-12

Filed 2013

Owner

MICROSOFT CORPORATION

AI components

5

nlp · kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13887384

The present invention extends to methods, systems, and computer program products for identifying impacted tests from statically collected data. In general, static dependency data, possibly augmented with some dynamic data, is used to find an appropriate set of impacted tests for code changes. In some embodiments, static dependency analysis is used to identify tests impacted by a code change. Heuristics can be used to assist with identifying an appropriate set of impacted tests to run for a code change. Dynamic data can be used to augment static dependency data to identify more optimal sets of impacted tests to run for a code change.

AI classification

AI hardware1.00
Planning0.93
Natural language0.93
Knowledge representation0.88
Evolutionary computation0.62
Machine learning0.34
Vision0.00
Speech0.00

Ownership

MICROSOFT CORPORATION

assignment · 303510555

Assignors

ABRAHAM, ARUN MATHEW, XU, HAIYING, SU, JUN, PROVOST, PETER GERARD, FAN, JING, PRIEUR, JEAN-MARC

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

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