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Semantic-Aware Feature Modeling and Analysis

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dc.contributor.author Akter, Taslima
dc.contributor.author Akther, Tasmia
dc.contributor.author Sinha, Neeta
dc.date.accessioned 2017-02-15T06:16:27Z
dc.date.available 2017-02-15T06:16:27Z
dc.date.issued 12/3/2016
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/2069
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 Feature diagrams are the most widely used to model product line variant. Formal Verification of variant requirements has gained much interest in the software product line (SPL) community. Successful development of a software product line (SPL) requires a proper management of product line requirements. Various approaches have been adopted to model both of the requirements of feature diagram. However, most of these approached lack proper formal semantics. This report presents our work in progress semantic web approach to model and verify product line requirements. Logical expressions can be built by modeling variants and their dependencies by using propositional connectives. A case study of two Feature Model (Hall Booking System) variant feature model is presented to illustrate the analysis and verification process. en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;CSE00057
dc.subject Semantic-Aware Feature Modeling en_US
dc.title Semantic-Aware Feature Modeling and Analysis en_US
dc.type Thesis en_US


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