Planning for the optimal attainment of requirements is an important early lifecycle activity.
However, such planning is difficult when dealing with competing requirements, limited …

At JPL and NASA, a process has been developed to perform life cycle risk management.
This process requires users to identify: goals and objectives to be achieved (and their …

Requirements engineering (RE) is (1) the elicitation of high-level goals of some envisioned
system followed by (2) the refinement of these goals into services and constraints, and (3) …

Chung et al. have proposed a graphical model that captures the interdependencies between
design alternatives in terms of synergy and trade-offs. This model can assist in identifying …

A problem with model-based requirements engineering is that new projects may lack the
data required to customize old models. Such data droughts are a common problem in …

A Turing machine is a lonely machine. It talks to no one and no outsider talks to it. Within its
walls, nothing happens unless its read-write device changes an entry on a Turing tape. No …

Services that are delivered over the Internet—e-services—pose unique problems yet offer
unprecedented opportunities. In this paper, we classify e-services along the dimensions of …

In planning a complex system's development there can be many options to improve its
reliability. Typically their sum total cost exceeds the budget available, so it is necessary to …

This chapter is based on: F. Verdenius, AJM Timmermans & RE Schouten, Process Models
for Neural Network Applications in Agriculture, AI Applications, 11 (3), 1997, pp. 31-46, and …

Models in software engineering allow developers to define, but not necessarily explore, the
space of design options. Building a useful model, understanding all its interactions, can be …