Modelling software reliability prediction with optimal estimation techniques

dc.contributor.author	Χριστοδουλάκης, Δημήτριος	el
dc.contributor.author	Πάντζιου, Γραμματή Ε.	el
dc.date.accessioned	2015-05-25T20:07:45Z
dc.date.available	2015-05-25T20:07:45Z
dc.date.issued	2015-05-25
dc.identifier.uri	http://hdl.handle.net/11400/11153
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.sciencedirect.com/science/article/pii/095058499090051R	en
dc.subject	αξιοπιστία λογισμικού
dc.subject	πρόβλεψη της αξιοπιστίας
dc.subject	μοντελοποίηση
dc.subject	τεχνικές εκτίμησης
dc.subject	Computer software--Reliability
dc.subject	reliability prediction
dc.subject	Modeling
dc.subject	estimation techniques
dc.title	Modelling software reliability prediction with optimal estimation techniques	en
heal.type	journalArticle
heal.classification	Τεχνολογία
heal.classification	Πληροφορική
heal.classification	Technology
heal.classification	Computer science
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2008117728
heal.identifier.secondary	DOI: 10.1016/0950-5849(90)90051-R
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	1990-01
heal.bibliographicCitation	Christodoulakis, D. and Pantziou, G. (1990) Modelling software reliability prediction with optimal estimation techniques. Information and Software Technology. [Online] 32 (1), pp.88-93. Available from: http://www.sciencedirect.com [Accessed 25/05/2015]	en
heal.abstract	Software reliability prediction is as vital to the software industry as to any other industry that relies on the quality of software. Reliability prediction, however, requires a solid model of the behaviour of the software system and a well suited prediction methodology and algorithms. The paper focuses on the second task. Optimal estimation techniques are applied to predict the future behaviour of software systems. An initial implementation of the proposed methodology has shown encouraging results. The observed discrepancy between the real and estimated values of the mean time to failure of software systems was low and sometimes around zero.	en
heal.publisher	Butterworth Scientific Press	en
heal.journalName	Information and Software Technology	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true