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[PDF] Top 20 Adaptive random testing based on distribution metrics

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Adaptive random testing based on distribution metrics

Adaptive random testing based on distribution metrics

... probability of being selected as test cases. Therefore, an input that is adja- cent to some previously executed but non-failure-causing test cases may still be selected as the next test case. However, such a test case is ... See full document

42

Performance And Result Analysis Of Hybrid Adaptive Random Partition Testing For Improved Bug Detection and Test Coverage

Performance And Result Analysis Of Hybrid Adaptive Random Partition Testing For Improved Bug Detection and Test Coverage

... for testing the ...probability distribution, ...similar. Random testing has generally been viewed as being easy to implement and therefore ...probability distribution is not at all ... See full document

8

Application of a failure driven test profile in random testing

Application of a failure driven test profile in random testing

... Random testing techniques have been extensively used in reliability assessment, as well as in debug ...reliability, random testing selects test cases based on an operational profile; ... See full document

35

Randomized Quasi-Random Testing

Randomized Quasi-Random Testing

... effectiveness based on the F-measure, which refers to the expected number of test cases required to detect the first software failure, as defined in Section ...of random testing strategies (such as ... See full document

14

Random Testing For Language Design

Random Testing For Language Design

... at random, based on the distribution induced by the ...weighted distribution of instructions leads to longer runs (average ...better testing performance in terms of mean time to find a ... See full document

269

Sensitivity analysis on input parameters of probabilistic fracture mechanics code, pro-loca

Sensitivity analysis on input parameters of probabilistic fracture mechanics code, pro-loca

... probability distribution (DPD) important sampling, and adaptive sampling methods on the random variable such as material properties, weld residual stress, crack growth coefficients, crack morphology, ... See full document

9

Adaptive Markov Random Fields for Example-Based Super-resolution of Faces

Adaptive Markov Random Fields for Example-Based Super-resolution of Faces

... In increasing the resolution of a video frame, however, outside information is available. That is, its neighboring frames typically contain slightly di ff erent information that can be used to increase the resolution of ... See full document

11

Learning Adaptive Random Features

Learning Adaptive Random Features

... probability distribution over a large number of ref- erence ...basis based on explicit objective function can be computationally more tractable and more ... See full document

8

H-ARPT: A Hybrid Adaptive Random Partition Testing          for Improved Bug Detection and Test Coverage

H-ARPT: A Hybrid Adaptive Random Partition Testing for Improved Bug Detection and Test Coverage

... box testing by suggesting some modification of unsolved ...to random testing, partition testing and adaptive ...Partition testing deals with dividing the input space into several ... See full document

6

Enhancing adaptive random testing for programs with high dimensional input domains or failure-unrelated parameters

Enhancing adaptive random testing for programs with high dimensional input domains or failure-unrelated parameters

... spatial distribution of points is more ...case distribution like Figure 3(a) rather than Figure 3(b) because it test selection criterion does not take the spatial complexity (incidental to higher ... See full document

39

Code coverage of adaptive random testing

Code coverage of adaptive random testing

... In this study, we use the χSuds tool developed by Telcordia Technologies [40] to analyze the structure- based coverage of a test set. χSuds can evaluate both the control-ow and data-ow coverage, and output the ... See full document

22

Online Full Text

Online Full Text

... cases based on the six factors: customer priority, changes in requirement, implementation complexity, requirement traceability, execution time and fault impact of ...value based test case prioritization ... See full document

5

Distributing test cases more evenly in adaptive random testing

Distributing test cases more evenly in adaptive random testing

... are based on the same intuition of evenly spreading test cases, they distribute test cases in different ways, and hence have different failure detection ...case distribution, and thus have a poor ... See full document

43

Design & Investigate the Performance Characteristics of RLS Algorithm in Halfband FIR Filter Structure for WiMAX / WLAN Applications

Design & Investigate the Performance Characteristics of RLS Algorithm in Halfband FIR Filter Structure for WiMAX / WLAN Applications

... Applications are separated in basic classes: identification, prediction and interference cancelling. It have a common characteristic: an input signal is received for the adaptive filter and compared with a desired ... See full document

6

Centrality Metrics for Water Distribution Networks

Centrality Metrics for Water Distribution Networks

... centrality metrics tailored for WDNs in order to consider the “importance” of pipes and not of ...centrality metrics based on the direct graph generated by flows in the ...centrality metrics ... See full document

10

Posterior Analysis of Sequential Normal Testing Procedure

Posterior Analysis of Sequential Normal Testing Procedure

... study the robust characters of SNTP in respect of ,  and ASN function when prior has been updated with posterior as its distribution. For meeting this objective, we compare the generalized form of OC. curve in ... See full document

8

DESIGN OF RANDOM TESTING CIRCUIT BASED ON LFSR FOR THE EXTERNAL MEMORY INTERFACE

DESIGN OF RANDOM TESTING CIRCUIT BASED ON LFSR FOR THE EXTERNAL MEMORY INTERFACE

... Power dissipation during the testing is one of the most important issues. There are several reasons for this power increased in test mode. To test large circuit, circuits are partitioned to save the test time but ... See full document

6

Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators

Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators

... distribution function G b m of the p-values (Storey, 2002; Storey et al., 2004; Benjamini et al., 2006). Although these results were obtained in the conditional setting of Benjamini and Hochberg (1995), extending ... See full document

37

Adaptive False Discovery Rate Control under Independence and Dependence

Adaptive False Discovery Rate Control under Independence and Dependence

... of adaptive procedures that have provably controlled FDR under dependence appears to have been only studied scarcely (see Sarkar, 2008a, and Farcomeni, ...multiple testing with either controlled FWER or ... See full document

35

Adaptive particle image velocimetry based on sharpness metrics

Adaptive particle image velocimetry based on sharpness metrics

... Particle imaging velocimetry [17] is an image-based measurement technique that is used for fluid flow measure- ments. Seeding particles that follow the flow are added to the fluid. Usually a light-sheet ... See full document

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