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A formal method for cost and accuracy trade-off analysis in software assessment measures
KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.ORCID-id: 0000-0003-2017-7914
KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.ORCID-id: 0000-0002-3293-1681
KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.ORCID-id: 0000-0003-3089-3885
KTH, Skolan för elektro- och systemteknik (EES), Industriella informations- och styrsystem.
Vise andre og tillknytning
2009 (engelsk)Inngår i: RCIS 2009: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON RESEARCH CHALLENGES IN INFORMATION SCIENCE, NEW YORK: IEEE , 2009, s. 295-302Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Creating accurate models of information systems is an important but challenging task. It is generally well understood that such modeling encompasses general scientific issues, but the monetary aspects of the modeling of software systems are not equally well acknowledged. The present paper describes a method using Bayesian networks for optimizing modeling strategies, perceived as a trade-off between these two aspects. Using GeNIe, a graphical tool with the proper Bayesian algorithms implemented, decision support can thus be provided to the modeling process. Specifically, an informed trade-off can be made, based on the modeler's prior knowledge of the predictive power of certain models, combined with his projection of their costs. It is argued that this method might enhance modeling of large and complex software systems in two principal ways: Firstly, by enforcing rigor and making hidden assumptions explicit. Secondly, by enforcing cost awareness even in the early phases of modeling. The method should be used primarily when the choice of modeling can have great economic repercussions.

sted, utgiver, år, opplag, sider
NEW YORK: IEEE , 2009. s. 295-302
Emneord [en]
Software measurement, Bayesian networks, value of information, cost-benefit analysis
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Identifikatorer
URN: urn:nbn:se:kth:diva-30394DOI: 10.1109/RCIS.2009.5089293ISI: 000271860800032Scopus ID: 2-s2.0-70349446877ISBN: 978-1-4244-2864-9 (tryckt)OAI: oai:DiVA.org:kth-30394DiVA, id: diva2:401146
Merknad
QC 20110301Tilgjengelig fra: 2011-03-01 Laget: 2011-02-24 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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