Measurement and analysis software based on machine learning View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2010-2012

FUNDING AMOUNT

190000 CNY

ABSTRACT

Machine learning has become an important way in various fields for intelligent data analysis. In the measurement and analysis software, various classical machine learning techniques have been used to analyze the relationship between the target and the existing measures are concerned, from the model can be found in key metrics and targets of interest are closely related. However, most software metrics data analysis tasks in machine learning methods do not satisfy the classical work relies on assumptions, leading to the prediction model can not fully reflect the true law. This paper intends to study the modeling method is suitable for measurement and analysis software to study the characteristics of the task, can take the initiative to propose a sample from an alternative space selectively labeled samples and get for learning to learn; to take advantage of proposed difficult to obtain a large number of labeled samples to enhance the learning ability of learning; proposes a target class misclassification cost - sensitive approach to learning; effective learning can propose a learning method for a smaller proportion of the target class sample data; and based on the above prediction model of theoretical results reflect the relationship between the existing software measurement and defects. The issue is expected to published in major international journals, conference papers and a high-quality domestic TECHNOLOGY 4-6 papers, national invention patents 1-2, 2-3 graduate students. More... »

URL

http://npd.nsfc.gov.cn/projectDetail.action?pid=60903103

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