Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/14766
Title: Scenario-based assessment of nonfunctional requirements
Authors: Gregoriades, Andreas 
Sutcliffe, Alistair G. 
metadata.dc.contributor.other: Γρηγοριάδης, Αντρέας
Major Field of Science: Social Sciences
Field Category: Computer and Information Sciences
Keywords: Bayesian belief networks;Nonfunctional requirements validation;Scenario-based testing;Systems engineering;Algorithms;Reliability theory
Issue Date: May-2005
Source: IEEE Transactions on Software Engineering, 2005, vol. 31, Issue 5, pp. 392-409
Volume: 31
Issue: 5
Start page: 392
End page: 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://hdl.handle.net/20.500.14279/14766
ISSN: 00985589
DOI: 10.1109/TSE.2005.59
Rights: © IEEE
Type: Article
Affiliation : University of Manchester Institute of Science and Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

SCOPUSTM   
Citations

46
checked on Mar 14, 2024

WEB OF SCIENCETM
Citations

29
Last Week
0
Last month
0
checked on Oct 29, 2023

Page view(s)

281
Last Week
1
Last month
0
checked on Nov 21, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.