SONG HAO1, LI JIANPING2, CAI CHEN2, et al. Risk Identification Research for Trustworthy Software Development Using Meta-Analysis and Hierarchical Holographic Modeling. [J]. 2012, 58(3): 260-268.
SONG HAO1, LI JIANPING2, CAI CHEN2, et al. Risk Identification Research for Trustworthy Software Development Using Meta-Analysis and Hierarchical Holographic Modeling. [J]. 2012, 58(3): 260-268. DOI: 10.14188/j.1671-8836.2012.03.008.
To identify all the risks in software development is an important strategy to improve the trustworthiness softwares.This paper discussed the development of risk identification for trustworthy software.Relative literatures about software project risk were collected using meta-analysis and top 20 risks were extracted from risk descriptions according to the frequency sequence.The top 10 risks were described
including requirement risk
user risk
supplier risk etc.Hierarchical holographic modeling containing 10 subcategories like product
project management
project result
attribute etc was presented to identify all risks in trustworthy software development.Combined with the alterable sub framework for different risk scenes
we presented a systemic solution framework for risk identification in trustworthy software development.