Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/14766
Title: Scenario-based assessment of nonfunctional requirements
Authors: Gregoriades, Andreas 
Sutcliffe, Alistair G. 
Keywords: Bayesian belief networks;Nonfunctional requirements validation;Scenario-based testing;Systems engineering;Algorithms;Reliability theory
Category: Computer and Information Sciences
Field: Social Sciences
Issue Date: 2005
Source: IEEE Transactions on Software Engineering Volume 31, Issue 5, May 2005, Pages 392-409
Journal: IEEE Transactions on Software Engineering 
Abstract: This paper describes a method and a tool for validating nonfunctional requirements in complex socio-technical systems. The System Requirements Analyzer (SRA) tool validates system reliability and operational performance requirements using scenario-based testing. Scenarios are transformed into sequences of task steps and the reliability of human agents performing tasks with computerized technology is assessed using Bayesian Belief Network (BN) models. The tool tests system performance within an envelope of environmental variations and reports the number of tests that pass a benchmark threshold. The tool diagnoses problematic areas in scenarios representing pathways through system models, assists in the identification of their causes, and supports comparison of alternative requirements specifications and system designs. It is suitable for testing socio-technical systems where operational scenarios are sequential and deterministic, in domains where designs are incrementally modified so set up costs of the BNs can be defrayed over multiple tests.
URI: https://ktisis.cut.ac.cy/handle/10488/14766
ISSN: 2-s2.0-22944481463
00985589
https://api.elsevier.com/content/abstract/scopus_id/22944481463
DOI: 10.1109/TSE.2005.59
Rights: © 2005 IEEE.
Type: Article
Appears in Collections:Άρθρα/Articles

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