Requirements Validation via Automated Natural Language Parsing

Nanduri, Sambamurthy; Rugaber, Spencer

doi:10.1080/07421222.1995.11518088

Cited by 23 publications

(11 citation statements)

References 5 publications

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“…Afterwards, H. Buchholz proposed that nouns not only specify classes and objects but also properties [9] of an object or a class. Later on, S. Naduri proposed that 'associations' in different objects can be pointed out by verbs [10]. Further detailed categorization of associations was done by N. Juristo into binary association, identification association, n-ary association, etc [11].…”

Section: A Literature Reviewmentioning

confidence: 99%

Markov Logics Based Automated Business Requirements Analysis

Bajwa¹

2010

IJCEE

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Section: A Literature Reviewmentioning

confidence: 99%

Markov Logics Based Automated Business Requirements Analysis

Bajwa¹

2010

IJCEE

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“…Nanduri and Rugaber, in 1995, proposed a requirements validation approach using NLP to support an Object Oriented Analysis (OOA) method [14]. Their study involved using a natural language parser to extract candidate objects and associations from a requirements document and construct an object model diagram.…”

Section: A Selective History Of the Relationship Between Re And Nlpmentioning

confidence: 99%

Innovations in Natural Language Document Processing for Requirements Engineering

Bērziņš

Martell

Luqi

et al. 2008

Lecture Notes in Computer Science

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Abstract. This paper evaluates the potential contributions of natural language processing to requirements engineering. We present a selective history of the relationship between requirements engineering (RE) and natural-language processing (NLP), and briefly summarize relevant recent trends in NLP. The paper outlines basic issues in RE and how they relate to interactions between a NLP front end and system-development processes. We suggest some improvements to NLP that may be possible in the context of RE and conclude with an assessment of what should be done to improve likelihood of practical impact in this direction.

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“…Although Saeki et al found resulting object diagrams of reasonable quality, they concluded that human intervention was still necessary to distinguish between words that are relevant for the model and irrelevant nouns and verbs. Nanduri and Rugaber (1995) proposed to further automate object-oriented analysis of requirement texts by applying a syntactic parser and a set of post-processing rules. In a similar setting, Mich (1996) employed a full NLP pipeline that contains a semantic analysis module, thus omitting the need for additional post-processing rules.…”

Section: Related Workmentioning

confidence: 99%

Software Requirements: A new Domain for Semantic Parsers

Roth

Diamantopoulos

Klein

et al. 2014

Proceedings of the ACL 2014 Workshop on Semantic Parsing

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Software requirements are commonly written in natural language, making them prone to ambiguity, incompleteness and inconsistency. By converting requirements to formal semantic representations, emerging problems can be detected at an early stage of the development process, thus reducing the number of ensuing errors and the development costs. In this paper, we treat the mapping from requirements to formal representations as a semantic parsing task. We describe a novel data set for this task that involves two contributions: first, we establish an ontology for formally representing requirements; and second, we introduce an iterative annotation scheme, in which formal representations are derived through step-wise refinements.

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Requirements Validation via Automated Natural Language Parsing

Cited by 23 publications

References 5 publications

Markov Logics Based Automated Business Requirements Analysis

Markov Logics Based Automated Business Requirements Analysis

Innovations in Natural Language Document Processing for Requirements Engineering

Software Requirements: A new Domain for Semantic Parsers

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