Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wo...
Abstract. Analysis of aggregate and individual Web requests shows that PageRank is a poor predictor of traffic. We use empirical data to characterize properties of Web traffic not ...
Mobility models, synthetic or trace, try to accurately model the movement of a single user or a group of users. Models are used in simulators and emulators to investigate the cons...
We describe an algorithm for generating multimodal referring expressions, based on empirical data. The main novelties are (1) a decision to point based on both the efficiency of p...
Conceptual modeling, deciding what to include in the model, is a very important task in the modeling process. However, it has so far received relatively little attention in the li...
Software Process Improvement needs sound empirical data gathered from a range of empirical studies such as controlled experiments or case studies. However, conducting empirical st...
All software projects are experiments in the sense of the scientific method because the outcomes are not known in advance, theories and hypotheses may be tested in the project emp...
P. Giese, Barbara Hoisl, Christopher M. Lott, H. D...
Many sources of empirical data can be used to evaluate an interface (e.g., time to learn, time to perform benchmark tasks, number of errors on benchmark tasks, answers on question...
This project uses empirical data to provide insights into the impact of open standards. This work moves beyond the existing literature by considering a large number of open standa...
There are a number of recommendation systems that can suggest the webpages, within a single website, that other (purportedly similar) users have visited. By contrast, our goal is ...