Results 261 to 270 of about 12,459,906 (292)
Some of the next articles are maybe not open access.
On the Testing of Statistical Software
Journal of Statistical Theory and Practice, 2021Ryan Lekivetz, Joseph Morgan
semanticscholar +1 more source
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.
openaire +1 more source
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.
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
Wiley StatsRef: Statistics Reference Online, 2020
A. G. Schissler, Alexander D. Knudson
semanticscholar +1 more source
A. G. Schissler, Alexander D. Knudson
semanticscholar +1 more source
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.
openaire +1 more source
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.
openaire +1 more source
The discounting model selector: Statistical software for delay discounting applications.
Journal of The Experimental Analysis of Behavior, 2017S. Gilroy, C. Franck, D. Hantula
semanticscholar +1 more source
Statistical errors in software
International Journal of Epidemiology, 1988M, Porta, F, Sanz
openaire +2 more sources
An Introduction to Statistical Learning
Springer Texts in Statistics, 2013Gareth M. James +3 more
semanticscholar +1 more source