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Verification of SPL Feature Tree by Using Bayesian Network

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dc.contributor.author Ferdous, Md. Javedul
dc.contributor.author Hossain, Md. Delwar
dc.date.accessioned 2015-12-08T09:09:56Z
dc.date.available 2015-12-08T09:09:56Z
dc.date.issued 5/12/2015
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/1555
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh. en_US
dc.description.abstract Products with new features need to be introduced on the market in a prompt step and organizations need to speed up their development process. Reuse has been suggested as a solution, but to achieve effective reuse within an organization a planned and preemptive effort must be used. Software Product lines are the most promising technique and it increases productivity and software quality and decreases time-to-market. In SPL, a feature tree shows various types of features and seizures the relationships among them. Bayesian Network is gaining much interest in Software Engineering, mainly in calculating software defects and software reliability. It can make notable consequence on feature analysis & its component. This thesis applies BN in modeling and analyzing features in a feature tree. Many feature analysis are modeled and verified in Bayesian Network. The verification of the rules define the analysis rules & its correctness. Finally a tool is used for reduced human error to make result more efficient & precise. en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;CSE00017
dc.subject SPL Feature Tree en_US
dc.title Verification of SPL Feature Tree by Using Bayesian Network en_US
dc.type Technical Report en_US


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