This paper presents a natural language processing based automated system for generating UML diagrams after analyzing the given business scenario. A new model is presented for analyzing the natural languages and extracting the relative and required information from the given storyline by the user. User writes the requirements in simple English in a few paragraphs and the designed system has cons...

We consider the global optimization of two problems arising from financial applications. The first problem originates from the portfolio selection problem when high-order moments are taken into account. The second issue we address is the problem of scenario generation. Both problems are non-convex, large-scale, and highly relevant in financial engineering. For the two problems we consider, we a...

Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on a scenario model of future environment developments. A good approximation of the underlying stochastic process may involve a very large number of scenarios and their probabilities. We discuss the case when enough data paths can be generated, but due to solva...

Scenario planning is a commonly used method that various organizations use to develop their long term plans. Scenario planning for risk management puts an added emphasis on identifying the extreme yet possible risks that are not usually considered in daily operations. While a variety of methods and tools have been proposed for this purpose, we show that formulating an AI planning problem, and a...

CREWS-SAVRE is a prototype software tool for systematic scenario generation and use. This paper reports on two interleaved strands of research and development of CREWS-SAVRE. The first is theoretical research into classes of exceptions in software-intensive systems. The second is the development of a software prototype which has been used to acquire requirements from current scenario users. Thi...

In this section, we present a heuristic for the bivariate case of the average-deviation problem. Just like the MIP formulation (9) from the previous section, the heuristic works on the ranks of the copula and uses the difference between the cdfs as a measure of distance between the sample and the target. It is based on the observation from Eq. (2) that the rank cdf Cr (i, j) depends only on poi...

We describe a novel approach to crosslingual dialogue which allows for highly accurate communication of semantically complex content. The approach is introduced through an application in a B2B scenario. We are currently building a browser-based prototype for this scenario. The core technology underlying the approach is natural language generation. We also discuss how the proposed approach can c...

Selecting appropriate technology strategy is crucial to those designing ICT-based offering for specific geographical market. The antecedents of adopting particular technology can be used to identify opportunities and barriers of entry, but further information is needed for technology management on how adoption would take place. In this paper, it is argued that deploying a scenario method facili...

Mismatches between pre-qualified existing components and the particular reuse context in applications have been a major factor hindering component reusability and successful composition. Although component adaptation has acted as a key solution of eliminating these mismatches, deep adaptation is often either impossible or incurring heavy overheads in the components. This paper proposes an appro...