Results 241 to 250 of about 5,519,312 (291)

Optimization of infectious disease intervention measures using reinforcement learning with UK COVID-19 epidemic data. [PDF]

Sci Rep
Zhang B, Chen Y, Li H, Zu Z.
europepmc   +1 more source

Evaluating a Mendelian Risk Prediction Model That Aggregates Across Genes and Cancers. [PDF]

Genet Epidemiol
Liang JW, Idos GE, Hong C, Shannon KM, Bear LM, Pichardo JM, Guan Z, McCarthy AM, Ford JM, Kurian AW, Gruber SB, Braun D, Parmigiani G.   +12 more
europepmc   +1 more source

DIA-Estimator and Multidimensional Model Misspecifications: GNSS-based Positioning Safety Analysis for UAV. [PDF]

GPS Solut
Ciuban S, Teunissen PJG, Tiberius CCJM.
europepmc   +1 more source

Large Language Model Performance and Clinical Reasoning Tasks.

JAMA Netw Open
Rao AS, Esmail KP, Lee RS, Jiang S, Arraiza Carlo B, Gill J, Khanna P, Kalmowitz E, Montagnese B, Heydari K, Jiao Q, Bott E, Nguyen D, Wang G, Hood M, Landman AB, Succi MD.   +16 more
europepmc   +1 more source

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Qr-model based testing

Proceedings of the 3rd international workshop on Automation of software test, 2008
As reactive and embedded systems continuously interact with their environment, it is important to test as many as possible interactions. The use of qualitative models of the environment and hardware has the potential to provide test cases that might not be considered with traditional testing methods.
Harald Brandl, Gordon Fraser 0001, Franz Wotawa   +2 more
openaire   +1 more source

Model-Based Testing and Maintenance

IEEE Sixth International Symposium on Multimedia Software Engineering, 2005
This paper presents a semantic software development model (SSDM) for object-oriented software. It organizes all the information generated during the software development lifecycle including requirements, design, implementation, testing, and maintenance.
D. Deng, Phillip C.-Y. Sheu, Taehyung Wang, Akira K. Onoma   +3 more
openaire   +1 more source

Model-based testing in practice

Proceedings of the 21st international conference on Software engineering, 1999
Model-based testing is a new and evolving technique for generating a suite of test cases from requirements. Testers using this approach concentrate on a data model and generation infrastructure instead of hand-crafting individual tests. Several relatively small studies have demonstrated how combinatorial test generation techniques allow testers to ...
Siddhartha R. Dalal, Ashish Jain, Nachimuthu Karunanithi, J. M. Leaton, Christopher M. Lott, Gardner C. Patton, Bruce M. Horowitz   +6 more
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Model-Based Testing

2014
Software more and more pervades our everyday lives. Hence, we have high requirements towards the trustworthiness of the software. Software testing greatly contributes to the quality assurance of modern software systems. However, as today's software system get more and more complex and exist in many different variants, we need rigorous and systematic ...
Malte Lochau, Sven Peldszus, Matthias Kowal, Ina Schaefer   +3 more
openaire   +1 more source