Results 11 to 20 of about 1,150,637 (268)

MetaFL: Metamorphic fault localisation using weakly supervised deep learning

IET Software, 2023
Deep‐Learning‐based Fault Localisation (DLFL) leverages deep neural networks to learn the relationship between statement behaviour and program failures, showing promising results.
Lingfeng Fu, Yan Lei, Meng Yan, Ling Xu, Zhou Xu, Xiaohong Zhang   +5 more
doaj   +1 more source

How can we deliver on the promise of precision medicine in oncology and beyond? A practical roadmap for action

Health Science Reports, 2023
Background Precision medicine (PM) is a form of personalized medicine that recognizes that individuals with the same condition may have different underlying factors and uses molecular information to provide tailored treatments.
Anne‐Marie Baird, C. Benedikt Westphalen, Sandra Blum, Begonya Nafria, Tanya Knott, Ify Sargeant, Helena Harnik, Nicholas Brooke, Nicole Wicki, Durhane Wong‐Rieger   +9 more
doaj   +1 more source

Automated Testing Tool Based on Sample Program [PDF]

Jisuanji gongcheng, 2020
In order to improve the quality of industry software on the basis of sample programs,this paper proposes an automated testing tool based on the analysis of sample program content and domain data.By analyzing the standardized skeleton comments in sample ...
WANG Jin, ZUO Chun, ZHANG Zheng
doaj   +1 more source

On testing machine learning programs [PDF]

Journal of Systems and Software, 2020
This manuscript is part of a submission to the Journal of Systems and ...
Houssem Ben Braiek, Foutse Khomh
openaire   +2 more sources

Stakeholders' expectations of precision medicine: A qualitative study to identify areas of (mis)alignment

Health Science Reports, 2023
Background and Aims To sustainably address challenges in implementing precision medicine (PM), coordinated efforts of different stakeholders are required.
Tanya Knott, James Creeden, Benjamin Horbach, Maximiliane Rauch‐Zumbrägel, Lidewij Vat, Helena Harnik, Zorana Maravic   +6 more
doaj   +1 more source

Automated test data generation based on particle swarm optimisation with convergence speed controller

CAAI Transactions on Intelligence Technology, 2019
Automated test data generation for path coverage (ATDG-PC) plays an important role in software testing. In this study, ATDG-PC is applied to the case of cloud computing such as Hadoop programmes which are more difficult to search for high-rate path ...
Fangqing Liu, Han Huang, Xueqiang Li, Zhifeng Hao   +3 more
doaj   +1 more source

Reachability resolution for discrete-time hybrid systems with application to automated test generation for Simulink/Stateflow

IET Cyber-Physical Systems, 2017
Simulink/Stateflow is a popular commercial model-based development tool for many industrial domains. For safety and security concerns, verification and testing must be performed on the Simulink/Stateflow designs and the generated code.
Meng Li, Ratnesh Kumar
doaj   +1 more source

Automated test generation and error localisation for Simulink/Stateflow modelled systems using extended automata

IET Cyber-Physical Systems, 2016
Model-based development frameworks for cyber-physical systems (CPSs) such as Simulink and Stateflow are popular for many applications. For safety and security concerns, verification and testing/validation must be performed on the model-based CPS designs.
Meng Li, Ratnesh Kumar
doaj   +1 more source

APPLICATION OF TESTING TECHNOLOGY IN PROGRAM TRAINING

Вестник университета, 2021
The purpose of the paper is to improve the methods of using test technologies in the educational process and to develop an optimal schedule for conducting tests in higher education when teaching programming languages. The article considers the advantages
A. E. Makarenko
doaj   +1 more source

An Intense Bout of Acute Aerobic Exercise, but Not a Carbohydrate Supplement, Improves Cognitive Task Performance in a Sample of Black, Indigenous, and People of Color (BIPOC) Student Athletes

Sports, 2023
Background: There are contradictory findings in the literature on whether an acute bout of aerobic exercise leads to a post-exercise improvement in cognitive function (CF). Moreover, participants used in the published literature are not representative of
Megan Sax van der Weyden, Joel Martin, Jose Rodriguez, Ali Boolani   +3 more
doaj   +1 more source