Adaptive random testing based on distribution metrics
نویسندگان
چکیده
منابع مشابه
Adaptive random testing based on distribution metrics
Random testing (RT) is a fundamental software testing technique. Adaptive random testing (ART), an enhancement of RT, generally uses fewer test cases than RT to detect the first failure. ART generates test cases in a random manner, together with additional test case selection criteria to enforce that the executed test cases are evenly spread over the input domain. Some studies have been conduct...
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Test data generation is a key issue in the field of software testing. Adaptive random testing (ART) method has been proposed by Chen et al. to improve the fault-revealing ability of random testing. In the paper, we are mainly concerned with the partitioning-based adaptive random testing and present a new ART based on two-point partitioning. In the new algorithm, the current max-area region is p...
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Random Testing (RT) is an important and fundamental approach to testing computer software. Adaptive Random Testing (ART) has been proposed to improve the faultdetection capability of RT. ART employs the location information of successful test cases (those that have been executed but not revealed a failure) to enforce an even spread of random test cases across the input domain. Distance-based AR...
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Adaptive Random Testing (ART) is designed to detect the first failure with fewer test cases than pure Random Testing. Since well-known ART methods, namely Distance-Based ART (D-ART) and Restriction-Based ART (RRT), have quadratic runtime, ART methods based on the idea of partitioning have been presented. ART by Random Partitioning is one of these partition-based ART algorithms. While having onl...
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Recently, adaptive random testing (ART) has been developed to enhance the fault-detection effectiveness of random testing (RT). It has been known in generalities that the fault-detection effectiveness of ART depends on the distribution of failure-causing inputs, yet this understanding is in coarse terms without precise details. In this paper, we conduct an in-depth investigation into the factor...
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ژورنال
عنوان ژورنال: Journal of Systems and Software
سال: 2009
ISSN: 0164-1212
DOI: 10.1016/j.jss.2009.05.017