Scalable Mutation Testing Using Predictive Analysis of Deep Learning Model

Scalable Mutation Testing Using Predictive Analysis of Deep Learning Model

Software testing plays a crucial role in ensuring the quality of software systems. Mutation testing is designed to measure the adequacy of test suites by detecting artificially induced software faults. Despite their potential, the expensive cost and the scalability of mutation testing with large pro...

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Bibliographic Details
Main Authors: Muhammad Rashid Naeem, Tao Lin, Hamad Naeem, Farhan Ullah, Saqib Saeed
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Scalable mutation testing
static analysis
deep learning
binary classification
Online Access:https://ieeexplore.ieee.org/document/8886413/

Internet

https://ieeexplore.ieee.org/document/8886413/

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