DocumentCode
3060907
Title
Make the Most of Your Time: How Should the Analyst Work with Automated Traceability Tools?
Author
Dekhtyar, Alex ; Hayes, Jane Huffman ; Larsen, Jody
Author_Institution
Univ. of Kentucky, Lexington
fYear
2007
fDate
20-26 May 2007
Firstpage
4
Lastpage
4
Abstract
Several recent studies employed traditional information retrieval (IR) methods to assist in the mapping of elements of software engineering artifacts to each other. This activity is referred to as candidate link generation because the final say in determining the final mapping belongs to the human analyst. Feedback techniques that utilize information from the analyst (on whether the candidate links are correct or not) have been shown to improve the quality of the mappings. Yet the analyst is making an investment of time in providing the feedback. This leads to the question of whether or not guidance can be provided to the analyst on how to best utilize that time. This paper simulates a number of approaches an analyst might take to evaluating the same candidate link list, and discovers that more structured and organized approaches appear to save time/effort of the analyst.
Keywords
information retrieval; software engineering; automated traceability tools; candidate link generation; feedback techniques; software engineering artifacts; traditional information retrieval methods; Analytical models; Feedback; Humans; Information retrieval; Performance analysis; Predictive models; Risk management; Software engineering; Software maintenance; Software tools;
fLanguage
English
Publisher
ieee
Conference_Titel
Predictor Models in Software Engineering, 2007. PROMISE'07: ICSE Workshops 2007. International Workshop on
Conference_Location
Minneapolis, MN
Print_ISBN
0-7695-2954-2
Type
conf
DOI
10.1109/PROMISE.2007.8
Filename
4273260
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