NIST · ИТ · 77a58b308a179090191c
A Method Level Test Generation Framework for Debugging Big Data Applications
When a failure occurs in a big data application, debugging with the original dataset can be difficult due to the large amount of data being processed. This paper introduces a framework for effectively generating method-level tests to facilitate debugging
NIST · ИТОфициальный источник · 2019-01-24
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"title_en": "A Method Level Test Generation Framework for Debugging Big Data Applications",
"designation": "",
"series": "",
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"date": "2019-01-24",
"date_original": "January 24, 2019",
"url": "https://www.nist.gov/publications/method-level-test-generation-framework-debugging-big-data-applications",
"source": "NIST Publications",
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"authors_en": "Huadong Feng, Jagan Chandrasekaran, Yu Lei, Raghu N. Kacker , D. Richard Kuhn",
"abstract_excerpt_en": "When a failure occurs in a big data application, debugging with the original dataset can be difficult due to the large amount of data being processed. This paper introduces a framework for effectively generating method-level tests to facilitate debugging",
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{
"title_en": "A Method Level Test Generation Framework for Debugging Big Data Applications",
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"date": "2019-01-24",
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"authors_en": "Huadong Feng, Jagan Chandrasekaran, Yu Lei, Raghu N. Kacker , D. Richard Kuhn",
"abstract_excerpt_en": "When a failure occurs in a big data application, debugging with the original dataset can be difficult due to the large amount of data being processed. This paper introduces a framework for effectively generating method-level tests to facilitate debugging"
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