Predicting the defects in the next release of a large software system is a very valuable asset for the project manger to plan her resources. In this paper we argue that temporal f...
Abraham Bernstein, Jayalath Ekanayake, Martin Pinz...
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Abstract: This paper introduces a novel data-driven methodology named Evolutionary Polynomial Regression (EPR), which permits the multi-purpose modelling of physical phenomena, thr...
Orazio Giustolisi, Angelo Doglioni, D. A. Savic, B...
Objects often define usage protocols that clients must follow in order for these objects to work properly. Aliasing makes it notoriously difficult to check whether clients and i...
Abstract--Ensuring the correctness of complex implementations of software transactional memory (STM) is a daunting task. Attempts have been made to formally verify STMs, but these ...