Enterprises encounter serious problems in keeping pace with ever faster changing markets. Enterprise Engineering (EE) is an emerging field that is promising in providing solutions. Doing research in this field, requires choosing an appropriate research method for different parts of the research. This is the composition of the research method from known research methods, we call this engineering...

Software Engineering (SE) and Knowledge Engineering (KE) are closely related disciplines with goals of turning the development process of software systems and knowledge-based systems, respectively, into engineering disciplines. In particular, they together can provide systematic approaches for engineering intelligent software systems more efficiently and cost-effectively. As there is a large ov...

One of the challenges of systems engineering research is that the expertise and the application happen "in the field". The field can be an industrial company or a government agency. Researchers need methods to research in the field; methods to try-out ideas, collect data, analyze, and evaluate. In this paper, we present a simple research model to help researchers to shape their research. We pro...

Within software engineering prediction systems, experiments are undertaken primarily to investigate relationships and to measure/compare models’ accuracy. This paper discusses our experience and presents useful lessons/guidelines in experimenting with software engineering prediction systems. For this purpose, we use a typical software engineering experimentation process as a baseline. We found ...

ion is a key principle in software engineering (Fielding 2000). For computer scientists, architecture is the overall concept that drives the choice of system parts, the specification of interfaces between parts and the constraints on performance of parts and the system. This approach enables easier adjustment of a design as technology improves or as performance requirements change (Gifford and ...

B.Eng, Software Systems Engineering, Royal Melbourne Institute of Technology (2002) S.M., High Performance Computations for Engineered Systems, Singapore-MIT Alliance, National University of Singapore (2004) Submitted to the Sloan School of Management in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Operations Research at the MASSACHUSETTS INSTITUTE OF TECHNO...

Classically, the focus of degree courses in engineering has been primarily on the teaching of applied science, but there has been much less emphasis on this for software engineering. This paper therefore examines the relationships between courses in software engineering and other branches of engineering, and particularly the balance within them between science and its applications. It discusses...

Nugroho Artadi Pujowidianto Department of Industrial and Systems Engineering, National University of Singapore, SINGAPORE, [email protected] Susan R. Hunter School of Operations Research and Information Engineering, Cornell University, Ithaca, NY 14853, USA, [email protected] Raghu Pasupathy The Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA, ...

We compare two inventory systems, one in which excess demand is lost and the other in which excess demand is backordered. Both systems are reviewed periodically. They experience the same sequence of identically and independently distributed random demands. Holding and shortage costs are considered. The holding cost parameter is identical, however the cost of a lost sale could be different from ...

Computation at the Molecular Scale Gourab Chatterjee, Neil Dalchau, Richard A. Muscat, Andrew Phillips2∗, Georg Seelig3,4∗ Department of Bioengineering, University of Washington, Seattle, WA 98195, USA Microsoft Research, Cambridge CB1 2FB, UK Department of Electrical Engineering, University of Washington, Seattle, WA 98195, USA Department of Computer Science & Engineering, University of Washin...