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Software security requirements management as an emerging cloud computing service

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  • Ramachandran, Muthu

Abstract

Emerging cloud applications are growing rapidly and the need for identifying and managing service requirements is also highly important and critical at present. Software Engineering and Information Systems has established techniques, methods and technology over two decades to help achieve cloud service requirements, design, development, and testing. However, due to the lack of understanding of software security vulnerabilities that should have been identified and managed during the requirements engineering phase, we have not been so successful in applying software engineering, information management, and requirements management principles that have been established for the past at least 25 years, when developing secure software systems. Therefore, software security cannot just be added after a system has been built and delivered to customers as seen in today’s software applications. This paper provides concise methods, techniques, and best practice requirements engineering and management as an emerging cloud service (SSREMaaES) and also provides guidelines on software security as a service. This paper also discusses an Integrated-Secure SDLC model (IS-SDLC), which will benefit practitioners, researchers, learners, and educators. This paper illustrates our approach for a large cloud system Amazon EC2 service.

Suggested Citation

  • Ramachandran, Muthu, 2016. "Software security requirements management as an emerging cloud computing service," International Journal of Information Management, Elsevier, vol. 36(4), pages 580-590.
    • Handle: RePEc:eee:ininma:v:36:y:2016:i:4:p:580-590
    DOI: 10.1016/j.ijinfomgt.2016.03.008
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    Cited by:

    1. Yiğit Kazançoğlu & Muhittin Sağnak & Çisem Lafcı & Sunil Luthra & Anil Kumar & Caner Taçoğlu, 2021. "Big Data-Enabled Solutions Framework to Overcoming the Barriers to Circular Economy Initiatives in Healthcare Sector," IJERPH, MDPI, vol. 18(14), pages 1-21, July.
    2. Bahman Arasteh & Asgarali Bouyer & Seyed Salar Sefati & Razvan Craciunescu, 2024. "Effective SQL Injection Detection: A Fusion of Binary Olympiad Optimizer and Classification Algorithm," Mathematics, MDPI, vol. 12(18), pages 1-21, September.
    3. Ali, Omar & Shrestha, Anup & Soar, Jeffrey & Wamba, Samuel Fosso, 2018. "Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review," International Journal of Information Management, Elsevier, vol. 43(C), pages 146-158.

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