Paper Info
Title
NARCIA: an automated tool for change impact analysis in natural language requirements
Abstract
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.
Year
DOI
Venue
2015
10.1145/2786805.2803185
ESEC/SIGSOFT FSE
Keywords
Field
DocType
Natural Language Requirements, Natural Language Processing (NLP), Change Impact Analysis
Change impact analysis,Software engineering,Computer science,Sorting,Theoretical computer science,Requirements management,Natural language processing,Artificial intelligence,Natural language requirements
Conference
Citations 
PageRank 
References 
7
0.39
6
Authors
5
Name
Order
Citations
PageRank
Chetan Arora129629.51
Mehrdad Sabetzadeh298861.84
Arda Goknil331820.37
Lionel C. Briand48795481.98
Frank Zimmer513711.95