The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Principles and Measurement Models for Software Assurance
|
|
Author(s): Nancy R. Mead (CERT, Software Engineering Institute, Carnegie Mellon University, Pittsburgh, PA, USA), Dan Shoemaker (Department of Computer and Information Systems, College of Liberal Arts & Education, University of Detroit Mercy, Detroit, MI, USA)and Carol Woody (CERT, Software Engineering Institute, Carnegie Mellon University, Pittsburgh, PA, USA)
Copyright: 2013
Volume: 4
Issue: 1
Pages: 10
Source title:
International Journal of Secure Software Engineering (IJSSE)
Editor(s)-in-Chief: Martin Gilje Jaatun (SINTEF Digital, Norway)
DOI: 10.4018/jsse.2013010101
Purchase
|
Abstract
Ensuring and sustaining software product integrity requires that all project stakeholders share a common understanding of the status of the product throughout the development and sustainment processes. Accurately measuring the product’s status helps achieve this shared understanding. This paper presents an effective measurement model organized by seven principles that capture the fundamental managerial and technical concerns of development and sustainment. These principles guided the development of the measures presented in the paper. Data from the quantitative measures help organizational stakeholders make decisions about the performance of their overall software assurance processes. Complementary risk-based data help them make decisions relative to the assessment of risk. The quantitative and risk-based measures form a comprehensive model to assess program and organizational performance. An organization using this model will be able to assess its performance to ensure secure and trustworthy products.
Related Content
|
Nan Jiang.
© 2026.
18 pages.
|
|
Fang Zhou, Jianheng Ji, Shuping Wang, Wei Zhao.
© 2026.
28 pages.
|
|
Dhivya Guru, Baskar Chinnaiah, Senthilraj Subramaniam.
© 2026.
29 pages.
|
|
Jisheng Shi, Yunying He.
© 2026.
17 pages.
|
|
Yizihe Lang, Chunchao Chen, Qiancheng Cai, Shuangzhu Tao, Xiao Zhang, Baoxing Ju.
© 2026.
19 pages.
|
|
Yingdong Lai, Suijiang Mo, Zixin Li, Baoguo Li, Hongbing Wen.
© 2026.
16 pages.
|
|
Masafumi Nakano.
© 2026.
14 pages.
|
|
|