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Accuracy of Software Reliability Prediction from Different Approaches
Blekinge Institute of Technology, School of Engineering, Department of Interaction and System Design.
Blekinge Institute of Technology, School of Engineering, Department of Interaction and System Design.
2008 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

Many models have been proposed for software reliability prediction, but none of these models could capture a necessary amount of software characteristic. We have proposed a mixed approach using both analytical and data driven models for finding the accuracy in reliability prediction involving case study. This report includes qualitative research strategy. Data is collected from the case study conducted on three different companies. Based on the case study an analysis will be made on the approaches used by the companies and also by using some other data related to the organizations Software Quality Assurance (SQA) team. Out of the three organizations, the first two organizations used for the case study are working on reliability prediction and the third company is a growing company developing a product with less focus on quality. Data collection was by the means of interviewing an employee of the organization who leads a team and is in the managing position for at least last 2 years.

Place, publisher, year, edition, pages
2008. , 36 p.
Keyword [en]
black box testing, white box testing, analytical model, data-driven model
National Category
Computer Science Software Engineering
URN: urn:nbn:se:bth-1298Local ID: diva2:828527
svra06@student.bth.seAvailable from: 2015-05-21 Created: 2008-02-13 Last updated: 2015-06-30Bibliographically approved

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