Abstract. Abstraction identification is named as a key problem in requirements analysis. Typically, the abstractions must be found among the large mass of natural language text collected from the clients and users. This paper motivates and describes a new approach, based on traditional signal processing methods, for finding abstractions in natural language text and offers a new tool, AbstFinder as an implementation of this approach. The advantages and disadvantages of the approach and the design of the tool are discussed in detail. Various scenarios for use of the tool are offered. Some of these scenarios were used in case study of the effectiveness of the tool on an industrial-strength example of finding abstractions in a request for proposals.
One of the most difficult challenges in requirements engineering is understanding the information provided by the stakeholders so as to establish the requirements. Moreover, there is considerable frustration whenever a requirement change is initiated and we are unable to analyse the impact of this change despite (or perhaps because of) having piles of requirements documents. This paper outlines a method for Abstraction-based Requirements Management (AbstRM) that is useful for requirements impact analysis and other requirements management activities.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.