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Context: Bug tracking systems play an important role in software maintenance. They allow both developers and users to submit problem reports on observed failures. However, by allowing anyone to submit problem reports, it is likely that more than one reporter will report on the same issue. Research in open source repositories has focused on two broad areas: determining the original report associated...
Research in automated human gait recognition has largely focused on developing robust feature representation and matching algorithms. In this paper, we investigate the possibility of clustering gait patterns based on the features extracted by automated gait matchers. In this regard, a k-means based clustering approach is used to categorize the feature sets extracted by three different gait matchers...
Accurate detection of software components that need to be exposed to additional verification and validation offers the path to high quality products while minimizing non essential software assurance expenditures. In this type of quality modeling we assume that software modules with known fault content developed in similar environment are available. Supervised learning algorithms are the traditional...
Accurate detection of fault prone modules offers the path to high quality software products while minimizing non essential assurance expenditures. This type of quality modeling requires the availability of software modules with known fault content developed in similar environment. Establishing whether a module contains a fault or not can be expensive. The basic idea behind semi-supervised learning...
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