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A Testing Tool for Machine Learning Applications

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

We present the design of MTKeras, a generic metamorphic testing framework for machine learning, and demonstrate its effectiveness through case studies in image classification and sentiment analysis.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020
PublisherAssociation for Computing Machinery, Inc
Pages386-387
Number of pages2
ISBN (Electronic)9781450379632
DOIs
Publication statusPublished - 27 Jun 2020
Externally publishedYes
Event42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020 - Seoul, Korea, Republic of
Duration: 27 Jun 202019 Jul 2020

Publication series

NameProceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020

Conference

Conference42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020
Country/TerritoryKorea, Republic of
CitySeoul
Period27/06/2019/07/20

Free Keywords

  • Keras
  • metamorphic relation pattern
  • Metamorphic testing
  • MR composition
  • MTKeras
  • neural network API
  • oracle problem

ASJC Scopus subject areas

  • Software

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