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

Chetan Arora, Mehrdad Sabetzadeh, Arda Goknil, Lionel C. Briand, Frank Zimmer

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.

BibTeX
@inproceedings{Arora-al:FSE15,
  author    = {Chetan Arora and
               Mehrdad Sabetzadeh and
               Arda Goknil and
               Lionel C. Briand and
               Frank Zimmer},
  title     = {{NARCIA:} an automated tool for change impact analysis in natural language requirements},
  booktitle = {{ESEC/SIGSOFT} {FSE}},
  pages     = {962--965},
  publisher = {{ACM}},
  year      = {2015},
}

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