439fa4f4414981d2be43 · Estimating t-way Fault Profile Evolution During Testing
Estimating t-way Fault Profile Evolution During Testing
Empirical studies have shown that most software interaction faults involve one or two variables interacting, with progressively fewer triggered by three or more, and no failure has been reported involving more than six variables interacting. This paper
{
"title_en": "Estimating t-way Fault Profile Evolution During Testing",
"designation": "",
"series": "",
"status": "",
"date": "2016-08-25",
"date_original": "August 25, 2016",
"url": "https://www.nist.gov/publications/estimating-t-way-fault-profile-evolution-during-testing",
"source": "NIST Publications",
"display_en": "",
"authors_en": "David R. Kuhn , Raghu N. Kacker , Lei Yu",
"abstract_excerpt_en": "Empirical studies have shown that most software interaction faults involve one or two variables interacting, with progressively fewer triggered by three or more, and no failure has been reported involving more than six variables interacting. This paper",
"id": "439fa4f4414981d2be43",
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"NIST Publications"
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{
"title_en": "Estimating t-way Fault Profile Evolution During Testing",
"designation": "",
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"date": "2016-08-25",
"date_original": "August 25, 2016",
"url": "https://www.nist.gov/publications/estimating-t-way-fault-profile-evolution-during-testing",
"source": "NIST Publications",
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"authors_en": "David R. Kuhn , Raghu N. Kacker , Lei Yu",
"abstract_excerpt_en": "Empirical studies have shown that most software interaction faults involve one or two variables interacting, with progressively fewer triggered by three or more, and no failure has been reported involving more than six variables interacting. This paper"
}
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