2019
DOI: 10.1016/j.jss.2018.09.055
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Search-Based test case prioritization for simulation-Based testing of cyber-Physical system product lines

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Cited by 47 publications
(39 citation statements)
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“…e primary focus of any testing technique is to expose the faults of SUT earlier [5]. So, the test case prioritization techniques got the attention of the testing research community [19,32]. e test case prioritization execution and analysis have many challenges and issues as well.…”
Section: Related Workmentioning
confidence: 99%
“…e primary focus of any testing technique is to expose the faults of SUT earlier [5]. So, the test case prioritization techniques got the attention of the testing research community [19,32]. e test case prioritization execution and analysis have many challenges and issues as well.…”
Section: Related Workmentioning
confidence: 99%
“…Recently, Arrieta et al [87], found that "Cyber-physical Systems" (CPSs) with the high configuration requirements show a large variability. As a result, millions of configurations may be required to meet the customers' needs.…”
Section: Lack Of Time and Funding And Market Pressurementioning
confidence: 99%
“…While ordered test cases aim to reduce the fault identification time, and time needed for covering the functional requirements. On the other hand, a non-functional requirement TCP approach is aimed to validate the timing constraints and performance requirements [87]. The objectives of two types of requirements based approaches vary: the former type of TCP approach is proposed with the objectives of functional requirements coverage while the latter type of TCP approach covers the non-functional requirements coverage [6,9].…”
Section: Introductionmentioning
confidence: 99%
“…There are search-based approaches for multi-objective test case prioritization in product lines (e.g., [10,11,81,112]). For instance, Parejo et al [81] model test case prioritization as a multi-objective optimization problem and implement a searchbased algorithm to solve it based on the NSGA-II evolutionary algorithm.…”
Section: Test Case Prioritizationmentioning
confidence: 99%
“…For instance, Parejo et al [81] model test case prioritization as a multi-objective optimization problem and implement a searchbased algorithm to solve it based on the NSGA-II evolutionary algorithm. Arrieta et al [11] propose another approach that cost-effectively optimizes product line test process. None of them work based on information at the level of NL requirements.…”
Section: Test Case Prioritizationmentioning
confidence: 99%