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Accurate prediction of fault prone modules (a module is equivalent to a C function or a C+ + method) in software development process enables effective detection and identification of defects. Such prediction models are especially beneficial for large-scale systems, where verification experts need to focus their attention and resources to problem areas in(More)
Many statistical techniques have been proposed to predict fault-proneness of program modules in software engineering. Choosing the " best " candidate among many available models involves performance assessment and detailed comparison, but these comparisons are not simple due to the applicability of varying performance measures. Classifying a software module(More)
In this paper, we outline a framework for appropriate and proper usage of simulated data for biometric authenti-cation. Currently, there are no formal guidelines concerning the use of simulated data in the biometric authentica-tion literature. Some have suggested the usage of simulated or synthetic data while others have advised against it. Our position is(More)
Recently, the significantly increased IPv6 address length has posed a greater challenge on wire-speed router for IP lookup. As a result, even the most efficient IPv4 lookup scheme can not meet the demand in IPv6. In this paper, we make a thorough study of real world IPv4/IPv6 routing tables and find out the useful characteristic of leaf nodes for the first(More)
Recently, traffic classification (TC) becomes more and more important for network management and measurement tasks. The new-coming machine learning based classification methods can achieve high classification accuracy and fast identification ability; however, all these related TC methods up to now always have the assumption of the stability of(More)
Some patients with soft-tissue sarcoma (STS) report a history of injury at the site of their tumor. Although this phenomenon is widely reported, there are relatively few experimental systems that have directly assessed the role of injury in sarcoma formation. We recently described a mouse model of STS whereby p53 is deleted and oncogenic Kras is activated(More)
PURPOSE Accurate prediction of an individual patient's drug response is an important prerequisite of personalized medicine. Recent pharmacogenomics research in chemosensitivity prediction has studied the gene-drug correlation based on transcriptional profiling. However, proteomic profiling will more directly solve the current functional and pharmacologic(More)
Rice tillering is a multigenic trait that influences grain yield, but its regulation molecular module is poorly understood. Here we report that OsMADS57 interacts with OsTB1 (TEOSINTE BRANCHED1) and targets D14 (Dwarf14) to control the outgrowth of axillary buds in rice. An activation-tagged mutant osmads57-1 and OsMADS57-overexpression lines showed(More)