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Virtual instruments is a program that implements functions of an instrument by software which could replace the work of real instruments to save resources. The functions of these sensor-based systems are limited and they commonly cannot manage related information, such as sensors and monitoring objects, due to special requirements. The procedure of development and integration often suffers from low...
Massive cloud-based data-intensive applications (e.g., iterative MapReduce-based) could involve graph data processing. How to effectively analyze and process large-scale graph data is an unsolved challenging problem. We present a parallel computation framework, named MyBSP, which is inspired by Google's Pregel system. MyBSP supports and implements the Bulk Synchronous Parallel (BSP) programming model,...
How to effectively process massive graph data is an intractable challenging issue. In this paper, two types of parallel computation approaches were compared: MapReduce and MyBSP. MyBSP is our open source implementation which adopts the Bulk Synchronous Parallel (BSP) programming model to support iterative processing. The MapReduce-based and MyBSP-based PageRank algorithms were implemented respectively...
To reduce the cost and risk of the development of system of systems (SoS) by pre-evaluation before the SoS is built, a model-driven approach is proposed to evaluate the SoS based on its architecture, especially focused on measures of performance and effectiveness. In order to implement the pre-evaluation, the system architecture needs to be transformed to the simulation model of the system under the...
Fault localization is a challenging task in domain specific data mining. Most existing works focus on call graph that can find bugs which are associated with control flow. However, there are a lot of bugs related to data flow. In this paper, we presented a data dependency graph in fault localization. The approach at first analyzes the execution of the test suites dynamically, then derives the data...
Different virtual educational experiments (VEEs) have different frameworks and implementations in different disciplines. How to integrate different VEEs into one unified supporting platform is a challenging problem. The key problem of this integration is how to build a unified mathematical model for VEEs of diversified disciplines. However, most existing multi-domain uniform modeling (MDUM) approaches...
In this paper, after the investigation and study the security situation of the accounting information system at home and abroad, analyzing the current security system of accounting information system with accounting data information security as an entry point, we want to construct a data "audit" model which draw on the experience of relevant principles of the black box in the aircraft, using...
We model software bug reports as a topological network called reporter network. By statistical analysis we And that the reporter network displays a number of features (scale-free, small-world, and etc.) shared by other complex networks. In order to understand the origins of these features, an evolving complex network model is proposed for the first time. The experimental results show that the model...
Robustness testing is a widely accepted approach to detect potential robustness weaknesses. However, the existing robustness testing approach suffers from some limitations, especially lacking support for automatic extraction of the SUT(System Under Test) specification knowledge, such as input syntax and interaction scenario. Such information is crucial for robustness test generation. In this paper,...
Web service based business process has become the backbone of enterprise information system, and it is evolving all the time. Therefore, the process has to be tested thoroughly and repeatedly whenever it is changed. This paper proposes a model driven approach toward generating executable test case from the given business process. The approach is composite of three stages: defining a process under...
Because of today's explosive information from Internet, people will contact much new information at any moment. So how to analyze this non-stationary information becomes more and more important. Clustering analysis is a good information analysis method, but many clustering algorithms only fit to stationary situation. Then in this paper, a novel incremental clustering algorithm based on self-organizing-mapping-IGSOM...
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