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Approaches for computing test‐case‐aware covering arrays
Author(s) -
Koc Ugur,
Yilmaz Cemal
Publication year - 2018
Publication title -
software testing, verification and reliability
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.216
H-Index - 49
eISSN - 1099-1689
pISSN - 0960-0833
DOI - 10.1002/stvr.1689
Subject(s) - correctness , computer science , set (abstract data type) , test (biology) , software , test case , distributed computing , software engineering , computer engineering , machine learning , algorithm , programming language , paleontology , regression analysis , biology
Summary Test‐case‐aware covering arrays have been recently introduced to overcome the shortcomings of standard covering arrays, which prevent some combinations of option settings from being exercised in the presence of test‐case‐specific constraints. A number of proof‐of‐concept approaches for computing test‐case‐aware covering arrays have also been presented in the aforementioned work. The main concern in the development of these approaches was neither their efficiency nor their effectiveness, but their correctness. On the other hand, efficient and effective ways of computing test‐case‐aware covering arrays are of great practical importance. To improve the applicability of test‐case‐aware covering arrays in practice, this work presents a number of efficient and effective approaches for computing them. Furthermore, the proposed approaches are evaluated by conducting a set of experiments on widely‐used highly‐configurable software systems and comparing their efficiency and effectiveness to those of the existing approaches in various practical testing scenarios.