The quality of requirements artifacts, such as software requirements specifications, is crucial for the success of a software development project, because the later a defect is found the more expensive it is to fix. However, as virtually all requirements are still written in natural language, and requirements artifacts grow often large, they are very hard to review for quality due to the imprec...

The importance of requirements, which in practice often means natural language requirements, for a successful software project cannot be underestimated. Although requirement analysis has been traditionally reserved to the experience of professionals, there is no reason not to use various automatic techniques to the same end. In this paper we present Circe, a Web-based environment for aiding in ...

Natural Language Processing for Requirements Engineering (NLP4RE) is an area of research and development that seeks to apply natural language processing (NLP) techniques, tools, resources the requirements engineering (RE) process, support human analysts carry out various linguistic analysis tasks on textual documents, such as detecting issues, identifying key domain concepts, establishing trace...

This paper develops a one-sector endogenous growth model in which renewable natural resources are postulated as both a factor of production and as a measure of environmental quality. We show that sustained economic growth and a non-deteriorating environment can coexist along the economy’s balanced growth path. Moreover, the output growth rate is positively related to the steady-state level of n...

Application of natural language understanding to requirements gathering remains a field that has only limited explorations so far. This paper presents an approach to extract the object oriented elements of the required system. This approach starts with assigning the parts of speech tags to each word in the given input document. Further, to resolve the ambiguity posed by the pronouns, the pronou...