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Software Reliability Prediction – An Evaluation of a Novel Technique
Blekinge Institute of Technology, School of Engineering, Department of Systems and Software Engineering.
Blekinge Institute of Technology, School of Engineering, Department of Systems and Software Engineering.
2004 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

Along with continuously increasing computerization, our expectations on software and hardware reliability increase considerably. Therefore, software reliability has become one of the most important software quality attributes. Software reliability modeling based on test data is done to estimate whether the current reliability level meets the requirements for the product. Software reliability modeling also provides possibilities to predict reliability. Costs of software developing and tests together with profit issues in relation to software reliability are one of the main objectives to software reliability prediction. Software reliability prediction currently uses different models for this purpose. Parameters have to be set in order to tune the model to fit the test data. A slightly different prediction model, Time Invariance Estimation, TIE is developed to challenge the models used today. An experiment is set up to investigate whether TIE could be found useful in a software reliability prediction context. The experiment is based on a comparison between the ordinary reliability prediction models and TIE.

Place, publisher, year, edition, pages
2004. , 32 p.
Keyword [en]
Reliability, Prediction, Time Invariance Estimation, Experiment
National Category
Computer Science Probability Theory and Statistics Software Engineering
URN: urn:nbn:se:bth-3589Local ID: diva2:830899
Physics, Chemistry, Mathematics
Available from: 2015-04-22 Created: 2004-06-18 Last updated: 2015-06-30Bibliographically approved

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