This paper first proposes HOOD+, an extension of HOOD, which has more 00 features and supports a seamless development from the requirements analysis to the systems design. Then, a CASE tool supporting HOOD+ is also de...
With the rapidly ageing population in most countries, the health and safety issues become the primary concern for elderly people because ageing is often associated with physical and cognitive impairments. In order to ...
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With the rapid advance of computer and network technology, more and more applications are deployed in the customer-side network. These applications require different quality of service (QoS), but have to share a few b...
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Cross-company defect prediction (CCDP) is a practical way that trains a prediction model by exploiting one or multiple projects of a source company and then applies the model to target company. Unfortunately, larger i...
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ISBN:
(纸本)1891706411
Cross-company defect prediction (CCDP) is a practical way that trains a prediction model by exploiting one or multiple projects of a source company and then applies the model to target company. Unfortunately, larger irrelevant crosscompany (CC) data usually makes it difficult to build a crosscompany defect prediction model with high performance. To address such issues, this paper proposes a data filtering method based on Agglomerative Clustering (DFAC) for cross-company defect prediction. First, DFAC combines within-company instances and cross-company instances and uses Agglomerative clustering algorithms to group these instances. Second, DFAC selects sub-clusters which consist at least one WC instance, and collects the CC instances in the selected sub-clusters into a new CC data. Compared with existing data filter methods, the experimental results on 15 public PROMISE datasets show that DFAC increases PD value, reduces PF value and achieves higher G-measure and AUC values.
With the pervasiveness of the success cases of SaaS applications, outsourcing the manuscript submission and review system of periodical presses to SaaS providers becomes a new trend. This study proposes a solution for...
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ISBN:
(纸本)9781467350686
With the pervasiveness of the success cases of SaaS applications, outsourcing the manuscript submission and review system of periodical presses to SaaS providers becomes a new trend. This study proposes a solution for constructing the journal manuscript submission and review system based on level-3 maturity model of SaaS. In this article, the requirements of the system have been elicited, the architecture has been designed, and the key implementation has been presented. By renting the services provided by the system instead of buying or developing, the periodical presses can not only obtain better technical support, but also save costs. In addition, the periodical press can utilize its agglomeration effect based on SaaS platform and subscribe the value-added services such as journal recommendation service to implicit contributors and reviewer recommendation service to periodical presses which will be helpful to promote the quality and impact factor of the journal.
In the field of Cross-company Defect Prediction (CCDP), how to deal with the data to make it more accurately predict the cross-company software defects is the focus problem we need to consider. Now a mainstream idea i...
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ISBN:
(纸本)1891706411
In the field of Cross-company Defect Prediction (CCDP), how to deal with the data to make it more accurately predict the cross-company software defects is the focus problem we need to consider. Now a mainstream idea is to determine the weight of the training data based on the similarity between the training data and the test set, and then build the model on the basis of these weighted data. However, sometimes, when we deal with some problems with imbalance class, directly using the weight calculated above may lead to errors. Because a large number of non-defective instance's weight accumulation will lead to the defective instance's weight has a little impact on the final result. This is why we need to consider the addition of the number of defects. Considering the number of defects will effectively eliminate the impact of a large number of non-defective instance's weight accumulation. Therefore, we propose a Transfer-learning Naïve Bayes model considering the number of defective information(NTNB). The method consists of two major stages: Weight the data and build the prediction model. In the stage of weighting the data, we not only consider the similarity between the data but also consider the number of defects to get the final weights for data. And we conducted a set of comparative experiments on six open crosscompany datasets. The results show that considering the number of defects information can effectively avoid some defective instance is misjudged as non-defective instance, and improve the accuracy of prediction in some unbalanced problems.
Knowledge graph embedding aims at offering a numerical knowledge representation paradigm by transforming the entities and relations into continuous vector space. However, existing methods could not characterize the kn...
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Knowledge graph embedding aims at offering a numerical knowledge representation paradigm by transforming the entities and relations into continuous vector space. However, existing methods could not characterize the knowledge graph in a fine degree to make a precise link prediction. There are two reasons for this issue: being an ill-posed algebraic system and adopting an overstrict geometric form. As precise link prediction is critical for knowledge graph embedding, we propose a manifold-based embedding principle (ManifoldE) which could be treated as a well-posed algebraic system that expands point-wise modeling in current models to manifold-wise modeling. Extensive experiments show that the proposed models achieve substantial improvements against the state-of-theart baselines, particularly for the precise prediction task, and yet maintain high efficiency.
This paper tackles the problem of generating safe exit controllers for continuous-time systems described by stochastic differential equations (SDEs). The primary aim is to develop controllers that maximize the lower b...
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Motion choreographing is extremely important nowadays. To provide an intuitive control interface and improve the end-user's experience, low-cost accelerometer, which serving as creating and choreographing characte...
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Field programmable gate arrays (FPGAs) are widely used in building systems-on-Programmable-Chips (SOPCs) since they contain plenty of reconfigurable heterogeneous resources providing the facility to implement various ...
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