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Title:      ASSESSMENT AND ANALYSIS OF ROBUSTNESS FOR A WEB-BASED SYSTEM
Author(s):      Tor Stålhane , Hue T. Pham , Ilaria Canova Calori
ISBN:      ISSN: 1645-7641
Editors:      Pedro Isaías
Year:      2007
Edition:      V V, 1
Keywords:      Robustness, FMEA, Web, Use case, Analysis, Bayesian Belief Network
Type:      Journal Paper
First Page:      14
Last Page:      28
Language:      English
Cover:      no-img_eng.gif          
Full Contents:      click to dowload Download
Paper Abstract:      The WebSys project has developed a method for robustness assessment, using the Failure Mode and Effect Analysis on use cases, modified by introducing a set of robustness stereotypes developed by I. Jacobson. The paper gives a short presentation of the method and show how it can be applied by assessing the robustness of two systems. We then show that the results from testing these two systems give robustness estimates that are in good agreement with the theoretical result. We have also extended I. Jacobson’s method for analysing robustness to include more complex systems. Based on the FMEA and the use cases we have also developed a probabilistic analysis framework that uses Bayesian Belief Network. This can be used to assess the probability of critical failures and to assist the developers in decision making.
   

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