We present an application of learning-based testing to the problem of automated test case generation (ATCG) for numerical software. Our approach uses n-dimensional polynomial model...
Writing reliable software is difficult. It becomes even more difficult when writing scientific software involving floating-point numbers. Computers provide numbers with limite...
We present an experimental framework for mapping declarative programs, written in a language known as Ruby, into various combinations of hardware and software. Strategies for para...
Aspect Oriented Programming (AOP) has significant potential to separate functionality and cross-cutting concerns. In particular, AOP supports an incremental development process, i...
The paper presents a method for generating solutions of a constraint satisfaction problem (CSP) uniformly at random. The main idea is to express the CSP as a factored probability d...