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

Jane Huffman Hayes; Alex Dekhtyar; Senthil Sundaram

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

Jane Huffman Hayes, Alex Dekhtyar, Senthil Sundaram

Computer Science

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

34 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the 2005 International Workshop on Mining Software Repositories, MSR 2005
State	Published - May 17 2005
Event	2005 International Workshop on Mining Software Repositories, MSR 2005 - St. Louis, United States Duration: May 17 2005 → …

Publication series

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

Conference

Conference	2005 International Workshop on Mining Software Repositories, MSR 2005
Country/Territory	United States
City	St. Louis
Period	5/17/05 → …

Bibliographical note

Publisher Copyright:
Copyright 2005 ACM.

ASJC Scopus subject areas

Software
Computer Science Applications

Cite this

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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. in 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.

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).

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

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

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

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