Text mining for software engineering: How analyst feedback impacts final results

Jane Huffman Hayes; Alex Dekhtyar; Senthil Sundaram

doi:10.1145/1083142.1083153

Text mining for software engineering: How analyst feedback impacts final results

Jane Huffman Hayes
, Alex Dekhtyar
, Senthil Sundaram

Computer Science

Producción científica: Conference contribution › revisión exhaustiva

34 Citas (Scopus)

Resumen

The mining of textual artifacts is requisite for many important activities in software engineering: tracing of requirements; retrieval of components from a repository; location of manpage text for an area of question, etc. Many such activities leave the “final word” to the analyst – have the relevant items been retrieved? are there other items that should have been retrieved? When analysts become a part of the text mining process, their decisions on the relevance of retrieved elements impact the final outcome of the activity. In this paper, we undertook a pilot study to examine the impact of analyst decisions on the final outcome of a task.

Idioma original	English
Título de la publicación alojada	Proceedings of the 2005 International Workshop on Mining Software Repositories, MSR 2005
DOI	https://doi.org/10.1145/1083142.1083153
Estado	Published - may 17 2005
Evento	2005 International Workshop on Mining Software Repositories, MSR 2005 - St. Louis, United States Duración: may 17 2005 → …

Serie de la publicación

Nombre	Proceedings of the 2005 International Workshop on Mining Software Repositories, MSR 2005

Conference

Conference	2005 International Workshop on Mining Software Repositories, MSR 2005
País/Territorio	United States
Ciudad	St. Louis
Período	5/17/05 → …

Nota bibliográfica

Publisher Copyright:
Copyright 2005 ACM.

Financiación

Acknowledgements. Our work is funded by NASA under grant NAG5-11732. We thank Stephanie Ferguson, Ken McGill, and Tim Menzies. We thank the analysts who assisted with the pilot study.

Financiadores	Número del financiador
National Aeronautics and Space Administration	NAG5-11732
National Aeronautics and Space Administration

ASJC Scopus subject areas

Software
Computer Science Applications

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title = "Text mining for software engineering: How analyst feedback impacts final results",

abstract = "The mining of textual artifacts is requisite for many important activities in software engineering: tracing of requirements; retrieval of components from a repository; location of manpage text for an area of question, etc. Many such activities leave the “final word” to the analyst – have the relevant items been retrieved? are there other items that should have been retrieved? When analysts become a part of the text mining process, their decisions on the relevance of retrieved elements impact the final outcome of the activity. In this paper, we undertook a pilot study to examine the impact of analyst decisions on the final outcome of a task.",

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Hayes, JH, Dekhtyar, A & Sundaram, S 2005, Text mining for software engineering: How analyst feedback impacts final results. En Proceedings of the 2005 International Workshop on Mining Software Repositories, MSR 2005. Proceedings of the 2005 International Workshop on Mining Software Repositories, MSR 2005, 2005 International Workshop on Mining Software Repositories, MSR 2005, St. Louis, United States, 5/17/05. https://doi.org/10.1145/1083142.1083153

Text mining for software engineering: How analyst feedback impacts final results. / Hayes, Jane Huffman; Dekhtyar, Alex; Sundaram, Senthil.
Proceedings of the 2005 International Workshop on Mining Software Repositories, MSR 2005. 2005. (Proceedings of the 2005 International Workshop on Mining Software Repositories, MSR 2005).

Producción científica: Conference contribution › revisión exhaustiva

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Text mining for software engineering: How analyst feedback impacts final results

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