Abstract
In the recent years, techniques and approaches associated with machine learning are being proposed to improvise the aspect of security of software product. These techniques and approaches of machine learning are proposed to cater to various phases of software development process for the implementation of security. This paper investigates the various approaches and techniques of machine learning used for security purpose. The research paper further explores how the alignment of misuse care oriented quality requirements framework metrics can be done with the eligible technique/approach of machine learning for specification and implementation of security requirements during the requirements engineering phase of software development process and also highlights the outcome of this alignment. The paper also presents some areas where further research work could be carried out to strengthen the security aspect of the software during its development process.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
