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

• Published in: International Conference on Software Engineering: Proceedings of the Third International Workshop on Predictor Models in Software Engineering; 20-26 May 2007 p. 4
• Main Authors: Dekhtyar, Alex, Hayes, Jane Huffman, Larsen, Jody
• Format: Conference Proceeding
• Language: English
• Published: Washington, DC, USA IEEE Computer Society 20.05.2007; IEEE
• Series: ACM Conferences
• 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
• ISBN: 9780769529547; 0769529542
• DOI: 10.1109/PROMISE.2007.8

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.