Processing natural language requirements

Ambriola, Vincenzo; Gervasi, Vincenzo

doi:10.1109/ase.1997.632822

Cited by 108 publications

(78 citation statements)

References 16 publications

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“…Shallow parsing is a lightweight text analysis method that performs a (potentially) partial analysis of the linguistic structures in a text. We used the Cico domain-based parser [21], a tool based on fuzzy matching of sentence fragments to templates, with a rule set specifically developed for the language used in the NCS specification. In domain-based parsing, parse trees do not describe the syntactical structure of a sentence, but rather its content according to structures that are significant in the domain.…”

Section: Application Of the Approach To The Case Studymentioning

confidence: 99%

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Lightweight validation of natural language requirements

Gervasi

Nuseibeh

2001

Softw Pract Exp

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SUMMARYIn this paper, we report on our experiences of using lightweight formal methods for the partial validation of natural language requirements documents. We describe our approach to checking properties of models obtained by shallow parsing of natural language requirements, and apply it to a case study based on part of a NASA specification of the Node Control Software on the International Space Station. The experience reported supports our position that it is feasible and useful to perform automated analysis of requirements expressed in natural language. Indeed, we identified a number of errors in our case study that were also independently discovered and corrected by NASA's Independent Validation and Verification Facility in a subsequent version of the same document, and others that were not discovered. The paper describes the techniques we used, the errors we found and reflects on the lessons learned.

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Section: Application Of the Approach To The Case Studymentioning

confidence: 99%

“…We used the Circe environment [21,22] to provide tool support for the production phase. Circe is a Web-based, component-based environment for the automated analysis of requirements written in natural language (using Cico for the parsing stage).…”

Section: Application Of the Approach To The Case Studymentioning

confidence: 99%

Lightweight validation of natural language requirements

Gervasi

Nuseibeh

2001

Softw Pract Exp

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“…This work developed a tool that parses sentential requirements written in Natural Language (NL) to detect potential sources of errors. COLOR-X [7] and Circe [8] parse a set of structured requirements in natural language to generate specific models (ER, DFD, OO design, etc.). The common characteristic of these tools is that they are mostly used and applied on pre-existing documents with disorganized text, redundancies and ambiguities.…”

Section: Related Workmentioning

confidence: 99%

A Novel Software Tool for Supporting and Automating the Requirements Engineering Process With the Use of Natural Language

Georgiades¹,

Andreou²

2013

IJCTE

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Abstract-This paper presents NALASS, a novel software tool that attempts to automate a large part of the Requirements Engineering (RE) process. The tool is based on a methodology that utilizes elements of natural language syntax and semantics to formalize activities of requirements discovery, analysis and specification. NALASS automates the creation of specific question sets for the elicitation stage, the organisation and classification of requirements for the analysis stage, with the use of predefined patterns, and the generation of diagrammatic notations, use case specifications and the SRS document.Index Terms-Automated requirements engineering, natural language.

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“…2. Ambriola and Gervasi [14] present a web-based environment where Model-Action-Substitution rules and a domain-and system-specific glossary are used to extract abstractions and build models. 3.…”

Section: Related Workmentioning

confidence: 99%

A Feasibility Study of Automated Natural Language Requirements Analysis in Market-Driven Development

Dag

Regnell

Carlshamre

et al. 2002

Requirements Engineering

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In market-driven software development there is a strong need for support to handle congestion in the requirements engineering process, which may occur as the demand for short time-to-market is combined with a rapid arrival of new requirements from many different sources. Automated analysis of the continuous flow of incoming requirements provides an opportunity to increase the efficiency of the requirements engineering process. This paper presents empirical evaluations of the benefit of automated similarity analysis of textual requirements, where existing information retrieval techniques are used to statistically measure requirements similarity. The results show that automated analysis of similarity among textual requirements is a promising technique that may provide effective support in identifying relationships between requirements.

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Processing natural language requirements

Cited by 108 publications

References 16 publications

Lightweight validation of natural language requirements

Lightweight validation of natural language requirements

A Novel Software Tool for Supporting and Automating the Requirements Engineering Process With the Use of Natural Language

A Feasibility Study of Automated Natural Language Requirements Analysis in Market-Driven Development

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