Object-oriented software metrics in software code vulnerability analysis
Title | Object-oriented software metrics in software code vulnerability analysis |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Kuk, K., Milić, P., Denić, S. |
Conference Name | 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) |
Date Published | Aug. 2020 |
Publisher | IEEE |
ISBN Number | 978-1-7281-6799-2 |
Keywords | code evaluation, composability, Measurement, Metrics, object oriented security, OWASP, pubcrawl, Resiliency, security, security metrics, software security, vulnerabilities |
Abstract | Development of quality object-oriented software contains security as an integral aspect of that process. During that process, a ceaseless burden on the developers was posed in order to maximize the development and at the same time to reduce the expense and time invested in security. In this paper, the authors analyzed metrics for object-oriented software in order to evaluate and identify the relation between metric value and security of the software. Identification of these relations was achieved by study of software vulnerabilities with code level metrics. By using OWASP classification of vulnerabilities and experimental results, we proved that there was relation between metric values and possible security issues in software. For experimental code analysis, we have developed special software called SOFTMET. |
URL | https://ieeexplore.ieee.org/document/9194645 |
DOI | 10.1109/INISTA49547.2020.9194645 |
Citation Key | kuk_object-oriented_2020 |