In this paper, we continue to explore many-valued disjunctive logic programs with probabilistic semantics. In particular, we newly introduce the least model state semantics for suc...
—Recently, Bayesian probabilistic models have been used for predicting software development effort. One of the reasons for the interest in the use of Bayesian probabilistic model...
Parag C. Pendharkar, Girish H. Subramanian, James ...
Abstract. Helping software designers in their task implies the development of tools with intelligent capabilities. One such capability is the integration of natural language unders...
A key problem for effective unit testing is the difficulty of partitioning large software systems into appropriate units that can be tested in isolation. We present an approach th...
We propose to build an automated reasoning system for first-order logic (FOL) by translating reasoning problems to a fragment of FOL called coherent logic (CL) and then solving t...