Supporting traceability through affinity mining

Publication Type:
Conference Proceeding
Citation:
2014 IEEE 22nd International Requirements Engineering Conference, RE 2014 - Proceedings, 2014, pp. 143 - 152
Issue Date:
2014-01-01
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© 2014 IEEE. Traceability among requirements artifacts (and beyond, in certain cases all the way to actual implementation) has long been identified as a critical challenge in industrial practice. Manually establishing and maintaining such traces is a highskill, labour-intensive job. It is often the case that the ideal person for the job also has other, highly critical tasks to take care of, so offering semi-automated support for the management of traces is an effective way of improving the efficiency of the whole development process. In this paper, we present a technique to exploit the information contained in previously defined traces, in order to facilitate the creation and ongoing maintenance of traces, as the requirements evolve. A case study on a reference dataset is employed to measure the effectiveness of the technique, compared to other proposals from the literature.
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