Testing a database engine has been and continues to be a challenging task. The space of possible SQL queries along with their possible access paths is practically unbounded. Moreo...
Hardik Bati, Leo Giakoumakis, Steve Herbert, Aleks...
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...
In the foreseeable future, software testing will remain one of the best tools we have at our disposal to ensure software dependability. Empirical studies are crucial to software t...
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
The aim of passive testing is to detect faults in a system while observing the system during normal operation, that is, without forcing the system to specialized inputs explicitly ...
Arun N. Netravali, Krishan K. Sabnani, Ramesh Visw...