Framework-intensive applications (e.g., Web applications) heavily use temporary data structures, often resulting in performance bottlenecks. This paper presents an optimized blend...
The resource decisions in software project using cost models do not satisfy managerial decision, as it does not support trade-off analysis among resources. A Bayesian net approach...
When the general press refers to `software' in its headlines, then this is often not to relate a success story, but to expand on yet another `software-risk-turned-problem-sto...
We give a new model of learning motivated by smoothed analysis (Spielman and Teng, 2001). In this model, we analyze two new algorithms, for PAC-learning DNFs and agnostically learn...
Adam Tauman Kalai, Alex Samorodnitsky, Shang-Hua T...
Software defect prediction strives to improve software quality and testing efficiency by constructing predictive classification models from code attributes to enable a timely ident...
Stefan Lessmann, Bart Baesens, Christophe Mues, Sw...