• KIPS Transactions on Software and Data Engineering
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• v.11 no.7
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• pp.273-282
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• 2022

Testing approaches for configurable software product lines differs significantly from a single software testing, as it requires consideration of common parts used by all member products of a product line and variable parts shared by some or a single product. Test coverage is a measure of the adequacy of testing performed. Test coverage measurements are important to evaluate the adequacy of testing at the software product line level, as there can be hundreds of member products produced from configurable software product lines. This paper proposes a method for measuring code coverage at the product line level in configurable software product lines. The proposed method tests the member products of a product line after hierarchizing member products based on the inclusion relationship of the selected features, and quantifies SPL(Software Product Line) test coverage by synthesizing the test coverage of each product. As a result of applying the proposed method to 11 configurable software product line cases, we confirmed that the proposed method could quantitatively visualize how thoroughly the SPL testing was performed to help verify the adequacy of the SPL testing. In addition, we could check whether the newly performed testing for a member product covers the newly added code parts of a feature.

• Journal of Software Engineering Society
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• v.24 no.3
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• pp.77-89
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• 2011

Software product line engineering is a software reuse paradigm that helps organizations improve software productivity and quality by developing software products from reusable core assets. For the satisfaction of common and variable requirements among products in the product line, the core assets must be configurable according to the selection of variable features. Therefore, unlike software architecture model of a single product, product line architecture model must embed and express variabilities among the products. Many researches have proposed methods of embedding and expressing variabilities in the product line architecture models, but there are few comparative studies on the proposed methods. In this paper we discuss strong points and weak points of the proposed methods and compare expressiveness of the methods, which helps select a proper method.