—Modeling to predict faultproneness of software modules is an important area of research in software engineering. Most such models employ a large number ...
Miyoung Shin, Sunida Ratanothayanon, Amrit L. Goel...
Reusable components equipped with strict guarantees of quality can help reestablish software development on a stronger footing, by taking advantage of the scaling effect of reuse ...
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
In this paper, we study the problem of learning block classification models to estimate block functions. We distinguish general models, which are learned across multiple sites, an...
In this poster we present an overview of the techniques we used to develop and evaluate a text categorisation system for the PRINCIP project which sets out to automatically classi...