Search results
31 sie 2023 · What must be tested? How can we devise relevant test cases for unit testing? How can we ensure a high (and possibly 100%) test coverage? Before considering these questions, we briefly recall the main features of interval arithmetic and of the IEEE 1788-2015 standard for interval arithmetic.
Definition. Interval analysis is a mathematical technique used to handle uncertainty in numerical computations by representing quantities as intervals rather than precise values. This approach allows for a systematic way to account for errors and uncertainties in data, which is essential for robust control system design and analysis.
1 wrz 2000 · Based on such a machine interval arithmetic, software is available which delivers verified solutions and bounds for them in various fields of mathematics. We will shortly consider this topic in Section 9.
21 cze 2024 · In this work, we evaluate whether the computational cost of interval analysis yields significant enough improvements in BMC's performance to justify its use.
Definition. Interval data is a type of quantitative data that is measured along a scale with equal intervals, where the difference between values is meaningful, but there is no true zero point. This means that while you can add and subtract values, you cannot multiply or divide them meaningfully.
1 sty 2017 · This book begins by presenting a method for Interval Analysis based on simple statistical tools applied on a space of Gaussian variables in Chapter One.
11 lip 2021 · Interval constraint-based mutation testing of numerical specifications. : ClothildeJeangoudoux, EvaDarulova, ChristophLauter Authors Info & Claims. ISSTA 2021: Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis. Pages 388 - 399. https://doi.org/10.1145/3460319.3464808.
