A Method for Choosing Software Assessment Measures using Bayesian Networks and Diagnosis: CSMR 2009, PROCEEDINGS
2009 (English)In: 13TH EUROPEAN CONFERENCE ON SOFTWARE MAINTENANCE AND REENGINEERING: CSMR 2009, PROCEEDINGS / [ed] Winter A, Knodel J, LOS ALAMITOS, CA.: IEEE COMPUTER SOC. , 2009, 241-245 p.Conference paper (Refereed)
Creating accurate models of information systems is an important but challenging task. While the scienti c aspects of such modeling are generally acknowledged, the monetary aspects of the modeling of software systems are not. The present paper describes a Bayesian method for optimizing modeling strategies, perceived as a trade-off between these two aspects. Speci cally, an informed trade-off can be made, based on the modeler's prior knowledge of the predictive power of certain models, combined with her projection of the costs. It is argued that this method enhances 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.
Place, publisher, year, edition, pages
LOS ALAMITOS, CA.: IEEE COMPUTER SOC. , 2009. 241-245 p.
, European Conference on Software Maintenance and Reengineering, ISSN 1534-5351
Computer and Information Science Production Engineering, Human Work Science and Ergonomics
IdentifiersURN: urn:nbn:se:kth:diva-30839DOI: 10.1109/CSMR.2009.36ISI: 000266729900026ScopusID: 2-s2.0-67649995866ISBN: 978-0-7695-3589-0OAI: oai:DiVA.org:kth-30839DiVA: diva2:402609
13th European Conference on Software Maintenance and Reengineering Kaiserslautern, GERMANY, MAR 24-27, 2009
QC 201103092011-03-092011-03-042011-03-09Bibliographically approved