b0d9cb3d75d93630746b · Impact of Code Complexity On Software Analysis
Impact of Code Complexity On Software Analysis
The Software Assurance Metrics and Tool Evaluation (SAMATE) team evaluated approximately 800 000 warnings from static analyzers.We learned that elements that we call code complexities make the detection of warnings more difficult. Most tools cannot not
{
"title_en": "Impact of Code Complexity On Software Analysis",
"designation": "",
"series": "",
"status": "",
"date": "2017-02-09",
"date_original": "February 9, 2017",
"url": "https://www.nist.gov/publications/impact-code-complexity-software-analysis",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Charles Daniel De Oliveira , Elizabeth N. Fong , Paul E. Black",
"abstract_excerpt_en": "The Software Assurance Metrics and Tool Evaluation (SAMATE) team evaluated approximately 800 000 warnings from static analyzers.We learned that elements that we call code complexities make the detection of warnings more difficult. Most tools cannot not",
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"sources": [
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{
"title_en": "Impact of Code Complexity On Software Analysis",
"designation": "",
"series": "",
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"date": "2017-02-09",
"date_original": "February 9, 2017",
"url": "https://www.nist.gov/publications/impact-code-complexity-software-analysis",
"source": "NIST Publications",
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"authors_en": "Charles Daniel De Oliveira , Elizabeth N. Fong , Paul E. Black",
"abstract_excerpt_en": "The Software Assurance Metrics and Tool Evaluation (SAMATE) team evaluated approximately 800 000 warnings from static analyzers.We learned that elements that we call code complexities make the detection of warnings more difficult. Most tools cannot not"
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