A comparison of stemming techniques in tracing

David Farrar; Jane Huffman Hayes

doi:10.1109/SST.2019.00017

A comparison of stemming techniques in tracing

David Farrar, Jane Huffman Hayes

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

Abstract

We examine the effects of stemming on the tracing of software engineering artifacts. We compare two common stemming algorithms to each other as well as to a baseline of no stemming. We evaluate the algorithms on eight tracing datasets. We run the experiment using the TraceLab experimental framework to allow for ease of repeatability and knowledge sharing among the tracing community. We compare the algorithms on precision at recall levels of [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0], as well as on mean average precision values. The experiment indicated that neither the Porter stemmer nor the Krovetz stemmer outperformed the other on all datasets tested.

Original language	English
Title of host publication	Proceedings - 2019 IEEE/ACM 10th International Workshop on Software and Systems Traceability, SST 2019
Pages	37-44
Number of pages	8
ISBN (Electronic)	9781728122557
DOIs	https://doi.org/10.1109/SST.2019.00017
State	Published - May 2019
Event	10th IEEE/ACM International Workshop on Software and Systems Traceability, SST 2019 - Montreal, Canada Duration: May 27 2019 → …

Publication series

Name	Proceedings - 2019 IEEE/ACM 10th International Workshop on Software and Systems Traceability, SST 2019

Conference

Conference	10th IEEE/ACM International Workshop on Software and Systems Traceability, SST 2019
Country/Territory	Canada
City	Montreal
Period	5/27/19 → …

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Funding

We thank NSF for partially funding this grants CCF-1511117 and CICI 1642134.

Funders	Funder number
National Science Foundation (NSF)	CCF-1511117, CICI 1642134

Keywords

Empirical research
Stemming
Traceability

ASJC Scopus subject areas

Software
Safety, Risk, Reliability and Quality

Access to Document

10.1109/SST.2019.00017

Cite this

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abstract = "We examine the effects of stemming on the tracing of software engineering artifacts. We compare two common stemming algorithms to each other as well as to a baseline of no stemming. We evaluate the algorithms on eight tracing datasets. We run the experiment using the TraceLab experimental framework to allow for ease of repeatability and knowledge sharing among the tracing community. We compare the algorithms on precision at recall levels of [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0], as well as on mean average precision values. The experiment indicated that neither the Porter stemmer nor the Krovetz stemmer outperformed the other on all datasets tested.",

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author = "David Farrar and Hayes, \{Jane Huffman\}",

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year = "2019",

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doi = "10.1109/SST.2019.00017",

language = "English",

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Farrar, D & Hayes, JH 2019, A comparison of stemming techniques in tracing. in Proceedings - 2019 IEEE/ACM 10th International Workshop on Software and Systems Traceability, SST 2019., 8823771, Proceedings - 2019 IEEE/ACM 10th International Workshop on Software and Systems Traceability, SST 2019, pp. 37-44, 10th IEEE/ACM International Workshop on Software and Systems Traceability, SST 2019, Montreal, Canada, 5/27/19. https://doi.org/10.1109/SST.2019.00017

A comparison of stemming techniques in tracing. / Farrar, David; Hayes, Jane Huffman.
Proceedings - 2019 IEEE/ACM 10th International Workshop on Software and Systems Traceability, SST 2019. 2019. p. 37-44 8823771 (Proceedings - 2019 IEEE/ACM 10th International Workshop on Software and Systems Traceability, SST 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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A comparison of stemming techniques in tracing

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this