When.com Web Search

  1. Ads

    related to: test sigma simulation

Search results

  1. Results From The WOW.Com Content Network
  2. Diehard tests - Wikipedia

    en.wikipedia.org/wiki/Diehard_tests

    Simulation shows that k should average 3523 with sigma 21.9 and is very close to normally distributed. Thus (k − 3523) / 21.9 should be a standard normal variable, which, converted to a uniform variable, provides input to a KSTEST based on a sample of 10.

  3. Testsigma - Wikipedia

    en.wikipedia.org/wiki/Testsigma

    Testsigma has multiple products to let software testing teams test web apps, mobile apps, APIs and ERP applications like Salesforce. [ 8 ] [ 9 ] Testsigma claims Nagra , Samsung , Cisco , Bosch , NTUC Fairprice as customers.

  4. Process corners - Wikipedia

    en.wikipedia.org/wiki/Process_corners

    To combat these variation effects, modern technology processes often supply SPICE or BSIM simulation models for all (or, at the least, TT, FS, and SF) process corners, which enables circuit designers to detect corner skew effects before the design is laid out, as well as post-layout (through parasitics extraction), before it is taped out.

  5. Discrete-event simulation - Wikipedia

    en.wikipedia.org/wiki/Discrete-event_simulation

    The simulation must keep track of the current simulation time, in whatever measurement units are suitable for the system being modeled. In discrete-event simulations, as opposed to continuous simulations, time 'hops' because events are instantaneous – the clock skips to the next event start time as the simulation proceeds.

  6. Simulation - Wikipedia

    en.wikipedia.org/wiki/Simulation

    Human-in-the-loop simulation of outer space Visualization of a direct numerical simulation model. Historically, simulations used in different fields developed largely independently, but 20th-century studies of systems theory and cybernetics combined with spreading use of computers across all those fields have led to some unification and a more systematic view of the concept.

  7. Design for Six Sigma - Wikipedia

    en.wikipedia.org/wiki/Design_for_Six_Sigma

    The methodology explains how to build predictive statistical models for software reliability and robustness and shows how simulation and analysis techniques can be combined with structural design and architecture methods to effectively produce software and information systems at Six Sigma levels.