Data Science Department, CHRIST Deemed to Be University, Bangalore, Karnataka, India.
QMS, First American India Private Ltd., Bangalore, Karnataka, India.
Comput Intell Neurosci. 2021 Dec 27;2021:8522839. doi: 10.1155/2021/8522839. eCollection 2021.
Security of the software system is a prime focus area for software development teams. This paper explores some data science methods to build a knowledge management system that can assist the software development team to ensure a secure software system is being developed. Various approaches in this context are explored using data of insurance domain-based software development. These approaches will facilitate an easy understanding of the practical challenges associated with actual-world implementation. This paper also discusses the capabilities of language modeling and its role in the knowledge system. The source code is modeled to build a deep software security analysis model. The proposed model can help software engineers build secure software by assessing the software security during software development time. Extensive experiments show that the proposed models can efficiently explore the software language modeling capabilities to classify software systems' security vulnerabilities.
软件系统的安全性是软件开发团队的首要关注领域。本文探讨了一些数据科学方法，以构建一个知识管理系统，帮助软件开发团队确保正在开发安全的软件系统。使用保险领域软件开发的数据探索了这方面的各种方法。这些方法将有助于轻松理解与实际实施相关的实际挑战。本文还讨论了语言建模的功能及其在知识系统中的作用。对源代码进行建模以构建深度软件安全分析模型。所提出的模型可以通过在软件开发过程中评估软件安全性来帮助软件工程师构建安全的软件。大量实验表明，所提出的模型可以有效地探索软件语言建模功能，以分类软件系统的安全漏洞。
