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.
As the telecom market becomes more consolidated the industrial key players are forced to release product versions to the market at a growing pace in order to comply with customer requirements and market trends. The time between the initial feedback or requirement originating in the field until the product release and the application satisfying the demand is becoming more critical. Product management's ability to identify the requirements and match them with the company's core SW resources and technological assets is becoming a core competence.
NICE Systems is a worldwide leader of multimedia digital recording solutions. NICE products are used by 65% of Fortune 100 companies in 30,000 sites including contact centers, financial institutions, public safety sites, ATC (air traffic control) sites, CCTV (closed circuit television) security installations and government markets.In this article, we will discuss the implementation of an effective way of managing requirements and how it improved the daily work of product managers as well as their counter-parts in the rest of the company.
In order to help solve the problems of requirements elicitation, this paper motivates and describes a new approach, based on traditional signal processing methods, for finding abstractions in natural language text. The design of AbstFinder, an implementation of the approach, and the evaluation of its effectiveness on an industrial-strength example are described.
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