hybrid test
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2022 ◽  
pp. 602-606
Author(s):  
Ashish Lathwal

Automation testing is a methodology that uses an application to implement the entire life cycle of the software in less time and provides efficiency and effectiveness to the testing software. In automation testing, the tester writes scripts and uses any suitable application software to test the software application. Automation is basically an automated process that is comprised of lots of manual activities. In other words, automation testing uses automation tools like Selenium, Sikuli, Appium, etc., to write test script and execute test cases, with no or minimal manual involvement required while executing an automated test suite. Usually, automation testers write test scripts and test cases using any of the automation tool and then groups test several cases. Here, we will discuss a neat case study explaining the automation testing using a hybrid test script.


Polymers ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3846
Author(s):  
Patrick Hirsch ◽  
Marianne John ◽  
Daniel Leipold ◽  
André Henkel ◽  
Sylvia Gipser ◽  
...  

In-situ thermoforming and overmolding of continuous fiber-reinforced thermoplastic composites by hybrid injection molding enables the mass production of thermoplastic lightweight structures with a complex geometry. In this study, the anisotropic mechanical behavior of such hybrid injection molded short and continuous fiber-reinforced thermoplastics and the numerical simulation of the resulting mechanical properties under flexural loading were investigated. For this, the influence of the volume flow rate between 25 and 100 cm3/s during injection molding of a PP/GF30 short fiber-reinforced overmolding material was studied and showed a strong effect on the fiber orientation but not on the fiber length, as investigated by computer tomography and fiber length analysis. Thus, the resulting anisotropies of the stiffness and strength as well as the strain hardening investigated by tensile testing were considered when the mechanical behavior of a hybrid test structure of short and continuous fiber-reinforced thermoplastic composites was predicted by numerical simulations. For this, a PP/GF60 and PP/GF30 hybrid injection molded test structure was investigated by a numerical workflow with implemented injection molding simulation data. In result, the prediction of the mechanical behavior of the hybrid test structure under flexural loading by numerical simulation was significantly improved, leading to a reduction of the deviation of the numerically predicted and experimentally measured flexural strength from 21% to 9% in comparison to the isotropic material model without the implementation of the injection molding data.


2021 ◽  
Vol 5 (OOPSLA) ◽  
pp. 1-28
Author(s):  
Nader Al Awar ◽  
Kush Jain ◽  
Christopher J. Rossbach ◽  
Milos Gligoric

Bounded-exhaustive testing (BET), which exercises a program under test for all inputs up to some bounds, is an effective method for detecting software bugs. Systematic property-based testing is a BET approach where developers write test generation programs that describe properties of test inputs. Hybrid test generation programs offer the most expressive way to write desired properties by freely combining declarative filters and imperative generators. However, exploring hybrid test generation programs, to obtain test inputs, is both computationally demanding and challenging to parallelize. We present the first programming and execution models, dubbed Tempo, for parallel exploration of hybrid test generation programs. We describe two different strategies for mapping the computation to parallel hardware and implement them both for GPUs and CPUs. We evaluated Tempo by generating instances of various data structures commonly used for benchmarking in the BET domain. Additionally, we generated CUDA programs to stress test CUDA compilers, finding four bugs confirmed by the developers.


2021 ◽  
Author(s):  
Sangjun Lee ◽  
Jongho Park ◽  
Inhwan Lee ◽  
Kwonhyoung Lee ◽  
Sungho Kang

2021 ◽  
Vol 7 (2) ◽  
pp. 395-398
Author(s):  
Nina Reinhardt ◽  
Theresa Dick ◽  
Laura Lang ◽  
Klaus Radermacher ◽  
Matías de la Fuente

Abstract Radial shock wave therapy is used for different therapeutic indications. In order to assess the effect on the treated tissue, it is important to know the sound field parameters. However, it is challenging to measure the pressure curves of ballistic devices, especially at high pulse repetition rates. In the new standard IEC 63045:2020 two possibilities for sound field measurements of non-focusing devices are described, a wet and a dry test bench. The whole sound field can be characterised using a wet test bench, but the process is cumbersome and cavitation is likely to occur at high pulse repetition rates. This effect is avoided using a dry test bench where the measurement position is limited to a single spot. Therefore, a hybrid test bench was developed combining the dry bench’s device mounting and coupling with a small water basin. The ballistic device was coupled to the basin filled with degassed ultrapure water using a latex membrane covered with ultrasound gel and the contact pressure was applied with a spring. A fibre optic probe hydrophone was used for the sound field measurements. The pressure curves of every 10th shot were measured on the beam axis in a distance of 1mm to the membrane. The device was analysed at 3.5 bar with different pulse repetition rates (1 Hz, 10 Hz, 20 Hz). The test setup enables an easy handling and reproducible results at all pulse repetition rates. The ballistic device provides constant peak pressures over different frequencies. The small water basin has the advantage that the water quality is easy to control and the measuring process is fast and uncomplicated. Cavitation suppression requires a clean water basin filled with degassed ultrapure water kept at a constant, low temperature. The hybrid test bench can be used to easily study shock wave parameters of ballistic devices at high repetition rates.


2021 ◽  
pp. 102941
Author(s):  
Zhao-Dong Xu ◽  
Yao-Rong Dong ◽  
Jun-Jian Wang ◽  
Ying-Qing Guo ◽  
Shi Chen ◽  
...  

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