Dukungan pemilihan fitur pada pengembangan software produk LINE menggunakan hibrid analytic network process. Case study: e-learning = The feature selection support of a software product line development using hybrid analytic network process. Case study: e-learning

Sutomo, Adrian Hartanto (2012) Dukungan pemilihan fitur pada pengembangan software produk LINE menggunakan hibrid analytic network process. Case study: e-learning = The feature selection support of a software product line development using hybrid analytic network process. Case study: e-learning. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

Features selection of a feature model is the key point of a software product line development. It selects the most suitable configuration of features that will be included into a software product line, based on the user requirements. However, features of a feature model may comprise dependency and multi functionality that correspond to the quality attributes, where it will pin points the specific product. Features of feature model may also have constraints to their relationship, which will influence the whole elements of product configuration. To this, an approach that utilizes the hybrid analytic network process (ANP) was proposed. In this proposed approach, first, the groups of features functionality are grouped to identify the non-functional factor. Then, the non-functional factors are group in a network for a specific quality attribute. Subsequently, the dependency for each group of quality attributes is calculated using Analytic Hierarchy Process (AHP) and ANP. to demonstrate the feasibility of this approach, an eLearning Product Line (eLPL) case study are used. The results obtained from applying hybrid ANP indicates that each feature has its own dependency and functionality based on each expected goal. In relate to these goals, which are to achieve at maximum level, the average score for the features belong to the security category is 13.61%; the usability category, 13.36%; and for reliability category, 13.22%.

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