Ebrahim Bagheri – Publication Page

Astrolabe: A Collaborative Multiperspective Goal-Oriented Risk Analysis Methodology

Ebrahim Bagheri and Ali A. Ghorbani
Reference:
Ebrahim Bagheri and Ali A. Ghorbani Astrolabe: A Collaborative Multiperspective Goal-Oriented Risk Analysis Methodology. In IEEE Transactions on Systems, Man, and Cybernetics, Part A, 39 (1): 66-85, 2009.
Links to Publication: [doi]
Abstract:
The intention of this paper is to introduce a risk analysis methodology called Astrolabe. Astrolabe is based on causal analysis of systems risks. It allows the analysts to both align the current standpoint of the system with its intentions and identify any vulnerabilities or hazards that threaten the systems stability. Astrolabe adopts concepts from organizational theory and software requirement engineering. The aim of Astrolabe is to guide risk analysis through its phases so that a near complete investigation of system risks is performed. The concepts and methods driving the Astrolabe methodology have been clearly explained in this paper.
Bibtex Entry:
@article{DBLP:journals/tsmc/BagheriG09, author = {Ebrahim Bagheri and Ali A. Ghorbani}, title = {Astrolabe: A Collaborative Multiperspective Goal-Oriented Risk Analysis Methodology}, journal = {IEEE Transactions on Systems, Man, and Cybernetics, Part A}, volume = {39}, number = {1}, year = {2009}, pages = {66-85}, ee = {http://dx.doi.org/10.1109/TSMCA.2008.2007948}, bibsource = {DBLP, http://dblp.uni-trier.de}, abstract = {The intention of this paper is to introduce a risk analysis methodology called Astrolabe. Astrolabe is based on causal analysis of systems risks. It allows the analysts to both align the current standpoint of the system with its intentions and identify any vulnerabilities or hazards that threaten the systems stability. Astrolabe adopts concepts from organizational theory and software requirement engineering. The aim of Astrolabe is to guide risk analysis through its phases so that a near complete investigation of system risks is performed. The concepts and methods driving the Astrolabe methodology have been clearly explained in this paper.} }




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