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Combinatorial testing aims to detect interaction faults, which are triggered by interaction among parameters in system, by covering some specific combinations of parametric values. Most works about combinatorial testing focus on detecting such interaction faults rather than locating them. Based on the model of interaction fault schema, in which the interaction fault is described as a minimum fault...
Spectrum-based fault localization (SBFL) is one of the most promising fault localization approaches, which normally uses the failed and passed program spectrum to evaluate the risks for all program entities. However, it does not explicitly distinguish the different degree in definiteness between the information associated with the failed spectrum and the passed spectrum, which may result in an unreliable...
In order to improve the efficiency of regression testing, many test selection techniques have been proposed to extract a small subset from a huge test suite, which can approximate the fault detection capability of the original test suite for the modified code. This paper presents a new regression test selection technique by clustering the execution profiles of modification-traversing test cases. Cluster...
Software evolution is an important activity in software life cycle. The Web application is very different from traditional software in design and composition. It needs maintained more frequently. So the automatic evolution support is a critical part in Web engineering. This paper uses Markov chain to model Web userspsila browser behavior by statistic analysis of Web log. And transition probability...
A family of extended fuzzy description logics, which includes a framework of syntax, semantics, knowledge base form and reasoning tasks, is proposed to enable representation and reasoning for complex fuzzy information. This paper discusses the reasoning technique for reasoning tasks of extended fuzzy description logics, which adopts classical description logics to discretely simulate extended fuzzy...
Program slicing is widely used in applications such as program comprehension, software testing, debugging, measurement, and reengineering. This paper proposes a new approach for program slicing, called modular monadic slicing, basing on modular monadic semantics of the program analysed. We abstract the computation of program slicing as a language-independence entity: slice monad transformer. On the...
Partition method of interval is adopted in current classification based on associations (CBA), but this method cannot reflect the actual distribution of data and exists the problem of sharp boundary. Quantitative attributes are partitioned into several fuzzy sets by fuzzy c-means algorithm, and search technology of Apriori algorithm is improved to discover interesting fuzzy association rules, which...
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