Toward a learned project-specific fault taxonomy: Application of software analytics

Billy Kidwell; Jane Huffman Hayes

doi:10.1109/SWAN.2015.7070479

Toward a learned project-specific fault taxonomy: Application of software analytics

Billy Kidwell, Jane Huffman Hayes

Computer Science

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

1 Scopus citations

Abstract

This position paper argues that fault classification provides vital information for software analytics, and that machine learning techniques such as clustering can be applied to learn a project- (or organization-) specific fault taxonomy. Anecdotal evidence of this position is presented as well as possible areas of research for moving toward the posited goal.

Original language	English
Title of host publication	2015 IEEE 1st International Workshop on Software Analytics, SWAN 2015 - Proceedings
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781467369237
DOIs	https://doi.org/10.1109/SWAN.2015.7070479
State	Published - Mar 30 2015
Event	2015 1st IEEE International Workshop on Software Analytics, SWAN 2015 - Montreal, Canada Duration: Mar 2 2015 → …

Publication series

Name	2015 IEEE 1st International Workshop on Software Analytics, SWAN 2015 - Proceedings

Conference

Conference	2015 1st IEEE International Workshop on Software Analytics, SWAN 2015
Country/Territory	Canada
City	Montreal
Period	3/2/15 → …

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

clustering
fault taxonomy
machine learning
softwarerepositories

ASJC Scopus subject areas

Software
Information Systems

Access to Document

10.1109/SWAN.2015.7070479

Cite this

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abstract = "This position paper argues that fault classification provides vital information for software analytics, and that machine learning techniques such as clustering can be applied to learn a project- (or organization-) specific fault taxonomy. Anecdotal evidence of this position is presented as well as possible areas of research for moving toward the posited goal.",

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Kidwell, B & Hayes, JH 2015, Toward a learned project-specific fault taxonomy: Application of software analytics. in 2015 IEEE 1st International Workshop on Software Analytics, SWAN 2015 - Proceedings., 7070479, 2015 IEEE 1st International Workshop on Software Analytics, SWAN 2015 - Proceedings, pp. 1-4, 2015 1st IEEE International Workshop on Software Analytics, SWAN 2015, Montreal, Canada, 3/2/15. https://doi.org/10.1109/SWAN.2015.7070479

Toward a learned project-specific fault taxonomy: Application of software analytics. / Kidwell, Billy; Hayes, Jane Huffman.
2015 IEEE 1st International Workshop on Software Analytics, SWAN 2015 - Proceedings. 2015. p. 1-4 7070479 (2015 IEEE 1st International Workshop on Software Analytics, SWAN 2015 - Proceedings).

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

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Toward a learned project-specific fault taxonomy: Application of software analytics

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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