This paper defines an electronic workflow environment as being conducive to the performance of business processes according to certain policies and practices in an electronic fashion. The workflow procedure will be facilitated ...

During the last few decades computing environments have advanced from single user systems to distributed, open environments we all know today. Through these Information Technology advancements, more and more role players ...

The development of Software is a long term investment. This investment normally takes a lot of money and human efforts. So many things may change during the life span of a Software. The requirement and the specification ...

This paper presents an overview of a national project to develop a checklist to support audits and assessments of quality management systems in the field of software in terms of the compliance requirements of the ISO 9001 ...

Computational intelligent programs are capable of discovering interesting relationships contained in "raw" data. These programs, including artificial neural networks, set covering algorithms and decision trees, have been ...

The purpose of this paper is to outline an approach for the development of the Tape Machines model in the Theory of Computation which is bound more closely to the real computer world. The approach is based on a developed ...

This paper examines and provides an overview of feature extraction techniques that are currently used in neural networks for image recognition. These include moment invariants, Zemike moments, Fourier descriptor techniques, ...

This paper presents the lessons learned from using the C++ programming language and an object-oriented design methodology for the development of a prototype analysis tool for inheritance relationships in object-oriented ...

An IT/end user relationship is described as intriguing and complex and is based on a physical and abstract dimension. These two dimensions enable one to fully describe the holistic nature of such a relationship and encapsulate ...

Parallel execution is the most powerful method of speeding up numerical analysis. However, numerical complexity increases much faster than the problem size. For this reason the computational effort required for the analysis ...