Path-oriented random testing through iterative partitioning (IP-PRT)
نویسندگان
چکیده
منابع مشابه
On Adaptive Random Testing Through Iterative Partitioning
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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Let (M, g1) be a compact d-dimensional Riemannian manifold. Let Xn be a set of n sample points in M drawn randomly from a Lebesgue density f . Define two points x, y ∈ M . We prove that the normalized length of the power-weighted shortest path between x, y passing through Xn converges to the Riemannian distance between x, y under the metric gp = f g1, where p > 1 is the power parameter. The res...
متن کاملA Path-oriented Automatic Random Testing Based on Double Constraint Propagation
A key issue in software testing is the actual generation of test data from program input domain. Obviously, more accurate input domain is, more efficient test generation is. This paper presents a path-oriented automatic random testing method based on double constraint propagation. For a given path, its domain can be reduced by splitting an input variable domain and executing a double constraint...
متن کاملAdaptive Random Testing Through Dynamic Partitioning By Localization with Distance and Enlarged Input Domain
1 Abstract—Based on the intuition that evenly distributed test cases have more chance for revealing non-point pattern failure regions, various Adaptive Random Testing (ART) methods have been proposed. A large portion of this methods such as ART with random partitioning by localization have edge preference problem. This problem would decrease the performance of these methods. In this article the...
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ژورنال
عنوان ژورنال: TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
سال: 2019
ISSN: 1303-6203
DOI: 10.3906/elk-1801-18