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Using Domain-Specific Corpora for Improved Handling of Ambiguity in Requirements

conference contribution
posted on 2021-01-01, 00:00 authored by Saad Ezzini, Sallam Abualhaija, Chetan AroraChetan Arora, Mehrdad Sabetzadeh, Lionel C Briand
Ambiguity in natural-language requirements is a pervasive issue that has been studied by the requirements engineering community for more than two decades. A fully manual approach for addressing ambiguity in requirements is tedious and time-consuming, and may further overlook unacknowledged ambiguity – the situation where different stakeholders perceive a requirement as unambiguous but, in reality, interpret the requirement differently. In this paper, we propose an automated approach that uses natural language processing for handling ambiguity in requirements. Our approach is based on the automatic generation of a domain-specific corpus from Wikipedia. Integrating domain knowledge, as we show in our evaluation, leads to a significant positive improvement in the accuracy of ambiguity detection and interpretation. We scope our work to coordination ambiguity (CA) and prepositional-phrase attachment ambiguity (PAA) because of the prevalence of these types of ambiguity in natural-language requirements [1]. We evaluate our approach on 20 industrial requirements documents. These documents collectively contain more than 5000 requirements from seven distinct application domains. Over this dataset, our approach detects CA and PAA with an average precision of 80% and an average recall of 89% (90% for cases of unacknowledged ambiguity). The automatic interpretations that our approach yields have an average accuracy of 85%. Compared to baselines that use generic corpora, our approach, which uses domain-specific corpora, has 33% better accuracy in ambiguity detection and 16% better accuracy in interpretation.

History

Pagination

1485-1497

Location

Madrid, Spain

Start date

2021-05-22

End date

2021-05-30

ISBN-13

9781665402965

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

ICSE 2021 : Proceedings of the IEEE/ACM 43rd International Conference on Software Engineering

Event

Software Engineering. Conference (2021 : 43rd : Madrid, Spain)

Publisher

IEEE

Place of publication

Piscataway, N.J.

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