Haut PDF Non regression testing for the JOREK code
Non regression testing for the JOREK code
... of the variables modelled in JOREK code are: the poloidal flux Ψ, the electric potential u, the toroidal current density j, the toroidal vorticity ω, the density ρ, ...
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Empirical Investigation of the Web Browser Attack Surface under Cross-Site Scripting: an Urgent Need for Systematic Security Regression Testing
... the PHP code of five web ...kill the mutants. In their study, they do not consider the impact of the browser on the efficiency of an XSS vector, thus introducing a bias in their ...
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The Seemingly Unrelated Dynamic Cointegration Regression Model and Testing for Purching Power Parity
... of the first differences of the regressors and estimating this augmented dynamic regression model by feasible generalized least squares using the long-run covariance matrix, we obtain an ...
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The seemingly unrelated dynamic cointegration regression model and testing for purchasing power parity
... of the first differences of the regressors and estimating this augmented dynamic regression model by feasible generalized least squares using the long-run covariance matrix, we obtain an ...
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Minimax rate of testing in sparse linear regression
... bound) for any ε ∈ (0, 1) there exists a ε > 0 such that, for all 0 < A < a ε , R s,Aλ ≥ 1 − ...that the rate λ defined in this way is a non-asymptotic minimax rate of testing ...
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Source-Code Level Regression Test Selection: the Model-Driven Way
... during regression testing (RT) phases. The RT time becomes problematic as the number of test cases is ...growing. Regression test selection (RTS) aims at running only the test ...
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Challenges & Opportunities in Low-Code Testing
... year. The latest mapping study on MBT performed by Bernardino et ...promotes the opportunity to create a repository of existing MBT tools which can be analyzed for different purposes, but there is no ...
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NOTICE: A Framework for Non-functional Testing of Compilers
... decrease the quality of the software and deteriorate application per- formance over time ...heuristics. For example, in GCC, we can distinguish optimization levels from O1 to ...of ...
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Interactive Ultrasonic Field Simulation For Non-Destructive Testing
... avoiding the unnecessary storage of temporary data and providing more work for each thread has been ...settled. The resulting opti- mized code scales well on a 2x12 cores ...configurations. ...
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Sparse grids for eddy-current non-destructive testing
... and/or regression is established based on a pre-calculated set of simulation results, ...Once the sample set is obtained, the subsequent data-fitting is far less expensive that the true ...
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Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression
... showing the computational gain achieved by our ...and the code will be shared online upon publica- ...into the maximum-violating constraint (MaxVC) working set approach (algorithm in ...
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Smooth-transition regression models for non-stationary extremes
... Pareto regression model, useful for handling the time- varying effect of risk factors on the severity distribution of financial ...has the advantages of accounting explicitly for ...
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Testing for one-sided alternatives in nonparametric censored regression
... that the con- ditional location function (1.2) for a given function J (·) cannot be consistently estimated due to the presence of ...typically the case if two conditional means have to be ...
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Raffinement de maillage adaptatif pour la simulation numérique des instabilités MHD dans les tokamaks : le code JOREK
... strategy for the 2D version of the JOREK ...increase the accuracy of spatial discretization in regions where the spatial scales are insufficiently resolved and decrease computing ...
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Automatic Non-functional Testing of Code Generators Families
... In the first step, software developers have to define, at de- sign time, the software’s behavior using a high-level abstract language (DSLs, models, program, ...platform-specific code generators to ...
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Testing for one-sided alternatives in nonparametric censored regression
... satisfying the general model Y j = m j (X j ) + ε j , j = 1, 2, where m(·) is a smooth function, ε has zero location and Y j is possibly ...test the null hypothesis H 0 : m 1 = m 2 ...
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Non-destructive testing of concrete
... Tests The rebound hammer is a surface hardness tester for which an empirical correlation has been established between strength and rebound ...number. The only known instrument to make use of ...
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A regression based non-intrusive method using separated representation for uncertainty quantification
... In the context of uncertainty quantification, for problems involving very high stochastic dimension, instead of evaluating the coefficients of an expansion in a given approxi- mation basis ...of ...
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Rare variant association testing in the non-coding genome
... between the joint action of enhancers and promoters increasing transcriptional activity, and silencers having an opposite effect (Kolovos et ...with the action of many proteins that bind to these DNA ...
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Ridge regression for the functional concurrent model
... Functional ridge regression estimator FRRE The definition of the estimator of β in the centered model 2.2 is inspired by the estimator introduced by Hoerl [8] in the Ridge Regularization [r] ...
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