منابع مشابه
Cross Project Software Fault Prediction at Design Phase
Software fault prediction models are created by using the source code, processed metrics from the same or previous version of code and related fault data. Some company do not store and keep track of all artifacts which are required for software fault prediction. To construct fault prediction model for such company, the training data from the other projects can be one potential solution. Earlier...
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Reliability of software counts on its fault-prone modules. This means that the less software consists of fault-prone units the more we may trust it. Therefore, if we are able to predict the number of fault-prone modules of software, it will be possible to judge the software reliability. In predicting software fault-prone modules, one of the contributing features is software metric by which one ...
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Software defect prediction in software engineering is one of the most interesting research fields. To improve the quality and reliability of the software in less time and in minimum cost, it is the most relevant key area where various researchers have been done. When the size and complexity of software increases then faults prediction in the software became more difficult. To maintain the high ...
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Software metrics play an important role in measuring the quality of software. It is desirable to predict the quality of software as early as possible, and hence metrics have to be collected early as well. This raises a number of questions that has not been fully answered. In this paper we discuss, prediction of fault content and try to answer what type of metrics should be collected, to what ex...
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Software fault prediction models play an important role in software quality assurance. They identify software subsystems (modules, components, classes, or files) which are likely to contain faults. These subsystems, in turn, receive additional resources for verification and validation activities. Fault prediction models are binary classifiers typically developed using one of the supervised lear...
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ژورنال
عنوان ژورنال: Journal of Electrical Engineering and Technology
سال: 2014
ISSN: 1975-0102
DOI: 10.5370/jeet.2014.9.5.1739