Chengying Mao
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View article: A Smart Semipartitioned Real‐Time Scheduling Strategy for Mixed‐Criticality Systems in 6G‐Based Edge Computing
A Smart Semipartitioned Real‐Time Scheduling Strategy for Mixed‐Criticality Systems in 6G‐Based Edge Computing Open
With the rapid growth of 6G communication and smart sensor technology, the Internet of Things (IoT) has attracted much attention now. In the 6G‐based IoT applications on the multiprocessor platform, the partitioned scheduling has been wide…
View article: Adaptive random testing based on flexible partitioning
Adaptive random testing based on flexible partitioning Open
Adaptive random testing (ART) achieves better failure‐detection effectiveness than random testing due to its even spreading of test cases. ART by random partitioning (RP‐ART) is a lightweight method, but its advantage over random testing i…
View article: Exploiting the Largest Available Zone: A Proactive Approach to Adaptive Random Testing by Exclusion
Exploiting the Largest Available Zone: A Proactive Approach to Adaptive Random Testing by Exclusion Open
Adaptive random testing (ART) has been proposed to enhance the effectiveness of random testing (RT) through more even spreading of the test cases. In particular, restricted random testing (RRT) is an ART algorithm based on the intuition of…
View article: A Taxonomic Review of Adaptive Random Testing: Current Status, Classifications, and Issues
A Taxonomic Review of Adaptive Random Testing: Current Status, Classifications, and Issues Open
Random testing (RT) is a black-box software testing technique that tests programs by generating random test inputs. It is a widely used technique for software quality assurance, but there has been much debate by practitioners concerning it…
View article: A Taxonomic Review of Adaptive Random Testing for Numeric Programs
A Taxonomic Review of Adaptive Random Testing for Numeric Programs Open
Random testing (RT) is a black-box software testing technique that tests programs by generating random test inputs. It is a widely used technique for software quality assurance, but there has been much debate by practitioners concerning it…
View article: A Comprehensive Algorithm for Evaluating Node Influences in Social Networks Based on Preference Analysis and Random Walk
A Comprehensive Algorithm for Evaluating Node Influences in Social Networks Based on Preference Analysis and Random Walk Open
In the era of big data, social network has become an important reflection of human communications and interactions on the Internet. Identifying the influential spreaders in networks plays a crucial role in various areas, such as disease ou…
View article: Towards a Trust Prediction Framework for Cloud Services Based on PSO-Driven Neural Network
Towards a Trust Prediction Framework for Cloud Services Based on PSO-Driven Neural Network Open
Trustworthiness is an important indicator for service selection and recommendation in the cloud environment. However, predicting the trust rate of a cloud service based on its multifaceted quality of services (QoSs) is not an easy task due…