We propose the use of crowdsourcing and human computation to help solve difficult problems in verification and debugging that can benefit from human insight. As a specific scenario, we explain how non-expert humans can assist in the verification process by finding patterns in portions of simulation or execution traces which are represented as images. Such patterns can be used in a variety of ways, including assertion-based verification, improving coverage, bug localization, and error explanation. Several related issues are discussed, including privacy and incentive mechanisms.
Title
CrowdMine: Towards Crowdsourced Human-Assisted Verification
Published
2012-05-25
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
EECS-2012-121
Type
Text
Extent
6 p
Archive
The Engineering Library
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