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Security Test Case Prioritization through Ant Colony Optimization Algorithm
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作者 Abdulaziz Attaallah Khalil al-Sulbi +5 位作者 Areej Alasiry Mehrez Marzougui Mohd Waris Khan Mohd Faizan Alka Agrawal dhirendra pandey 《Computer Systems Science & Engineering》 SCIE EI 2023年第12期3165-3195,共31页
Security testing is a critical concern for organizations worldwide due to the potential financial setbacks and damage to reputation caused by insecure software systems.One of the challenges in software security testin... Security testing is a critical concern for organizations worldwide due to the potential financial setbacks and damage to reputation caused by insecure software systems.One of the challenges in software security testing is test case prioritization,which aims to reduce redundancy in fault occurrences when executing test suites.By effectively applying test case prioritization,both the time and cost required for developing secure software can be reduced.This paper proposes a test case prioritization technique based on the Ant Colony Optimization(ACO)algorithm,a metaheuristic approach.The performance of the ACO-based technique is evaluated using the Average Percentage of Fault Detection(APFD)metric,comparing it with traditional techniques.It has been applied to a Mobile Payment Wallet application to validate the proposed approach.The results demonstrate that the proposed technique outperforms the traditional techniques in terms of the APFD metric.The ACO-based technique achieves an APFD of approximately 76%,two percent higher than the second-best optimal ordering technique.These findings suggest that metaheuristic-based prioritization techniques can effectively identify the best test cases,saving time and improving software security overall. 展开更多
关键词 CONFIDENTIALITY INTEGRITY AUTHENTICATION NON-REPUDIATION RESILIENCE AUTHORIZATION Ant Colony Optimization algorithm
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