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Detect, Fix, and Verify TensorFlow API Misuses - SANER 2022 - Experimental Data

Research datakeyboard_double_arrow_right Dataset 09 Jan 2022 English Publisher:Zenodo
Authors: Baker, Wilson; O'Connor, Michael; Shahamiri, Seyed Reza; Terragni, Valerio;

doi: 10.5281/zenodo.5831267 , 10.5281/zenodo.5839064 , 10.5281/zenodo.5831266

Detect, Fix, and Verify TensorFlow API Misuses - SANER 2022 - Experimental Data

Abstract

Detect, Fix, and Verify TensorFlow API Misuses - SANER 2022 Experimental data

Related Organizations
Keywords

tensorflow, machine learning, APIs, Automated Program Repair (APR), deep learning, differential testing, static bug detection

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visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
5
2