Make the Most of Your Time: How Should the Analyst Work with Automated Traceability Tools?

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 a...

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Bibliographic Details
Main Authors: Dekhtyar, Alex, Hayes, Jane Huffman, Larsen, Jody
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
Computing methodologies > Modeling and simulation > Model development and analysis
Computing methodologies > Modeling and simulation > Model development and analysis > Model verification and validation
Feedback
Humans
Information retrieval
Performance analysis
Predictive models
Risk management
Software and its engineering > Software creation and management > Software verification and validation > Process validation > Traceability
Software and its engineering > Software creation and management > Software verification and validation > Software defect analysis > Software testing and debugging
Software engineering
Software maintenance
Software tools
Theory of computation > Semantics and reasoning > Program reasoning > Program analysis
Theory of computation > Semantics and reasoning > Program semantics
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Summary: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.
DOI:10.1109/PROMISE.2007.8