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1	社会的認知研究のための潜在記憶テストの作成堀内, 孝, Horiuchi, Takashi 12 1900 (has links) 国立情報学研究所で電子化したコンテンツを使用している。 implicit memory test social cognition conceptually driven test data driven test trait adjdctives
2	Data-driven test case design of automatic test cases using Markov chains and a Markov chain Monte Carlo method / Datadriven testfallsdesign av automatiska testfall med Markovkedjor och en Markov chain Monte Carlo-metod Lindahl, John, Persson, Douglas January 2021 (has links) Large and complex software that is frequently changed leads to testing challenges. It is well established that the later a fault is detected in software development, the more it costs to fix. This thesis aims to research and develop a method of generating relevant and non-redundant test cases for a regression test suite, to catch bugs as early in the development process as possible. The research was executed at Axis Communications AB with their products and systems in mind. The approach utilizes user data to dynamically generate a Markov chain model and with a Markov chain Monte Carlo method, strengthen that model. The model generates test case proposals, detects test gaps, and identifies redundant test cases based on the user data and data from a test suite. The sampling in the Markov chain Monte Carlo method can be modified to bias the model for test coverage or relevancy. The model is generated generically and can therefore be implemented in other API-driven systems. The model was designed with scalability in mind and further implementations can be made to increase the complexity and further specialize the model for individual needs. testing test automation Data-driven test case design Markov chain MC Markov chain Monte Carlo MCMC Model-based testing MBT Metropolis-Hastings statistics Engineering and Technology Teknik och teknologier
3	Data-driven goodness-of-fit tests / Datagesteuerte Verträglichkeitskriteriumtests Langovoy, Mikhail Anatolievich 09 July 2007 (has links) No description available. 510 Mathematik Mathematics and Computer Science Hypothesenprüfung Statistische Inverse Probleme Dekonvolution Score Test Modellwahl Datagesteuerter Test Maximum Likelihood Hypothesis testing statistical inverse problems deconvolution score test model selection data-driven test maximum likelihood 31.70 31.73 EGCM 990: None of the above

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