The sound and complete rules for data reification in the algebraic framework are discussed. Based on these rules, the retrieve function approach in VDM is extended and the biased model and non-determinacy can be treat...
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The sound and complete rules for data reification in the algebraic framework are discussed. Based on these rules, the retrieve function approach in VDM is extended and the biased model and non-determinacy can be treated in some sense.
Prediction the number of faults in software modules can be more helpful instead of predicting the modules being faulty or non-faulty. Some regression models have been used for predicting the number of faults. However,...
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ISBN:
(纸本)1891706411
Prediction the number of faults in software modules can be more helpful instead of predicting the modules being faulty or non-faulty. Some regression models have been used for predicting the number of faults. However, the software defect data may involve irrelevant and redundant module features, which will degrade the performance of these regression models. To address such issue, this paper proposes a feature selection method based on Feature Spectral Clustering and feature Ranking (FSCR) for the number of software faults prediction. First, FSCR groups the original features with spectral clustering according to the correlation between every two features. Second, FSCR employs ReliefF algorithm to compute the relevance between each feature with respect to the number of faults and selects top p most relevant features from each resulted cluster. We evaluate our proposed method on 6 widely-studied project datasets with four performance metrics. Comparison with five existing feature selection methods demonstrates that FSCR is effective in selecting features for the number of faults prediction.
Most of the existing algorithms for mining frequent items over data streams do not emphasis the importance of the more recent data items. We present an efficient algorithm where a fading factor λ is used for computin...
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In cloud computing, computational resources are provided to remote users in the form of leases. For a cloud user, he/she can request multiple cloud services simultaneously. In this case, parallel processing in the clo...
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The paper proposes a novel approach based on the hierarchical timed automata to verify the consistency of dynamic evolution process. Different from traditional approaches, it investigates the problem from the behavior...
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We propose a visual tele-AR system, which is a combination of tele-existence and AR techniques. By wearing a video see-through HMD and moving his head, a user in this system is able to tele-operate a remote pan-tilt p...
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Elastic scaling in response to changes on demand is a main benefit of serverless computing. When bursty workloads arrive, a serverless platform launches many new containers and initializes function environments (known...
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A software cloud is ready-made for software delivery or software as a Service (SaaS). As it becomes more and more popular, security problems of software running in the cloud also become an important issue. The threats...
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Grid Computing receives growing attention from scientists and scholars these years, of which Grid Information Service is the highlight and one of the most difficult subjects. Grid Information Service is characterized ...
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Data Grid is one of the important research fields for Grid Computing, To improve the system efficiency, this paper puts forward the strategies of ring replication and thread replication. Compared with many other repli...
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