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Title:
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UNDERSTANDING OF E-COMMERCE IS THROUGH FEATURE MODELS AND THEIR METRICS |
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Author(s):
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Kestutis Valincius, Vytautas Stuikys, Robertas Damasevicius |
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ISBN:
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978-972-8939-83-0 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2013 |
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Edition:
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Single |
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Keywords:
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Set of e-commerce systems, reference system, feature model, understanding, similarity and complexity measures. |
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Type:
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Full Paper |
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First Page:
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55 |
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Last Page:
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62 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The paper addresses the e-commerce system (interpreted here as information systems, IS) understandability problem from the maintenance and evolution perspective. We propose a methodology that includes: (1) identification of the representative systems (reference IS) through clustering based on user-oriented and temporal criteria; (2) extraction of feature models from representative systems for evaluation using similarity by absolute difference value (ADV) and complexity metrics; (3) construction of the business logic feature model, represented as metagraph, to reason about quality of systems and to understand evolution trends. The methodology is supported by experiments to evaluate the understandability problem. The basic result are: (1) feature models of the representative systems; (2) metrics to evaluate complexity and similarity and understanding the systems. |
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