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Examining the Relationship of Code and Architectural Smells with Software Vulnerabilities.

, , and . APSEC, page 31-40. IEEE, (2020)

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Expressions of Sentiments during Code Reviews: Male vs. Female., , and . SANER, page 26-37. IEEE, (2019)A Human Error Based Approach to Understanding Programmer-Induced Software Vulnerabilities., , and . ISSRE Workshops, page 49-54. IEEE, (2020)A Preliminary Study on Common Programming Mistakes that Lead to Buffer Overflow Vulnerability., , , , and . COMPSAC, page 1375-1380. IEEE, (2021)Mining Learner-friendly Security Patterns from Huge Published Histories of Software Applications for an Intelligent Tutoring System in Secure Coding., , and . IEEE BigData, page 4869-4876. IEEE, (2021)Towards a software vulnerability prediction model using traceable code patterns and software metrics.. ASE, page 1022-1025. IEEE Computer Society, (2017)Using software metrics for predicting vulnerable classes in java and python based systems., , and . Inf. Secur. J. A Glob. Perspect., 33 (3): 251-267 (May 2024)Using Software Metrics for Predicting Vulnerable Code-Components: A Study on Java and Python Open Source Projects., , and . CSE/EUC, page 98-103. IEEE, (2019)Identifying Evolution of Software Metrics by Analyzing Vulnerability History in Open Source Projects., and . BDCAT, page 223-232. IEEE, (2022)Dynamic and Parallel Approaches to Optimal Evolutionary Tree Construction., , and . CCECE, page 119-122. IEEE, (2006)A catalog of metrics at source code level for vulnerability prediction: A systematic mapping study., , and . J. Softw. Evol. Process., (July 2024)