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NARCIA: an automated tool for change impact analysis in natural language requirements

conference contribution
posted on 2015-01-01, 00:00 authored by Chetan Arora, Mehrdad Sabetzadeh, Arda Goknil, Lionel C Briand, Frank Zimmer
We present NARCIA, a tool for analyzing the impact of change in natural language requirements. For a given change in a requirements document, NARCIA calculates quantitative scores suggesting how likely each requirements statement in the document is to be impacted. These scores, computed using Natural Language Processing (NLP), are used for sorting the requirements statements, enabling the user to focus on statements that are most likely to be impacted. To increase the accuracy of change impact analysis, NARCIA provides a mechanism for making explicit the rationale behind changes. NARCIA has been empirically evaluated on two industrial case studies. The results of this evaluation are briefly highlighted.

History

Event

European Software Engineering & Foundations of Software Engineering. Joint Meeting (2015 : 10th : Bergamo, Italy)

Pagination

962 - 965

Publisher

ACM Press

Location

Bergamo, Italy

Place of publication

New York, N.Y.

Start date

2015-08-30

End date

2015-09-04

ISBN-13

9781450336758

Language

eng

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

ESEC/FSE 2015 : Proceedings of the 2015 10th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering