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Software defects which are detected by black box testing (called black-box defect) are very large due to the wide use of black-box testing, but we could not find a defect classification which is specifically applicable to them in existing defect classifications. In this paper, we present a new defect classification scheme named ODC-BD (Orthogonal Defect Classification for Black-box Defect), and we...
Software defects are usually detected by inspection, black-box testing or white-box testing. Current software defect mining work focuses on mining frequent patterns without distinguishing these different kinds of defects, and mining with respect to defect type can only give limited guidance on software development due to overly broad classification of defect type. In this paper, we present four kinds...
Fuzzy measure and integral are widely used in multiple classifier system (MCS). But the number of coefficients involved in the fuzzy integral model grows exponentially with the number of classifiers to be aggregated. The main difficulty is to identify all these coefficients. This paper does an attempt Using 2-additive fuzzy measure in multiple classifier system. Our conclusion is that when different...
The core vector machine (CVM) has been introduced as an extremely fast classifier which is demonstrably superior to standard support vector machines (SVMs) on very large datasets. However, only limited information regarding the suitability of CVM for supporting corporate planning is available so far. In this paper, we strive to overcome this deficit. In particular, we consider customer-centric data...
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