Results 131 to 140 of about 5,732,657 (181)
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1999
This chapter discusses the statistical testing of software. Statistical Software Testing (SST) is gaining more acceptance as a method of assessing software integrity and provides a quantifiable measure of reliability. The tasks necessary to carry out SST are described.
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This chapter discusses the statistical testing of software. Statistical Software Testing (SST) is gaining more acceptance as a method of assessing software integrity and provides a quantifiable measure of reliability. The tasks necessary to carry out SST are described.
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1995
Statistical testing is based on a probabilistic generation of test data: structural or functional criteria serve as guides for defining an input profile and a test size. The method is intended to compensate for the imperfect connection of criteria with software faults, and should not be confused with random testing, a blind approach that uses a uniform
Pascale Thévenod-Fosse +2 more
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Statistical testing is based on a probabilistic generation of test data: structural or functional criteria serve as guides for defining an input profile and a test size. The method is intended to compensate for the imperfect connection of criteria with software faults, and should not be confused with random testing, a blind approach that uses a uniform
Pascale Thévenod-Fosse +2 more
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2011
Statistical software and their corresponding computing environments are essential factors that will lead to the achievement of efficient and better research. If we think of computing and classifying algorithms as the roadmap to arrive at our final destination, a statistical package is the vehicle that is used to reach this point.
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Statistical software and their corresponding computing environments are essential factors that will lead to the achievement of efficient and better research. If we think of computing and classifying algorithms as the roadmap to arrive at our final destination, a statistical package is the vehicle that is used to reach this point.
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2011
Abstract: JMP is a statistical software environment that enables scientists, engineers, and business analysts to make discoveries through data exploration. One powerful method for beginning the process of discovery employs statistically designed experiments. A well-designed experiment ensures that the resulting data have large information content.
Jones, Bradley, Sall, J.
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Abstract: JMP is a statistical software environment that enables scientists, engineers, and business analysts to make discoveries through data exploration. One powerful method for beginning the process of discovery employs statistically designed experiments. A well-designed experiment ensures that the resulting data have large information content.
Jones, Bradley, Sall, J.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly