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Title: IR based Traceability Link Recovery Method Mining
Author(s): Takeyuki Ueda, Shinpei Ogata, Haruhiko Kaiya, and Kenji Kaijiri
Source: In The Eightth International Conference on Software Engineering Advances (ICSEA 2013), pp. 278-284, Venice, Italy, Oct. 2013. Oct. 27 - Nov. 1.

Traceability link recovery is an important process in software development, and several researches are done, but the generality of adequate methods is not considered. The target of traceability link recovery includes several kinds of documents, so the adequacy of recovery methods depends on the characteristics of these documents, for example, an average similarity, a kind of document pair, document size, and so on. We propose the traceability link recovery method mining, which identifies a kind of adequate recovery method based on the characteristics of target documents by using knowledge base consisting of (a method, characteristics, and performance). This knowledge base shows which pair (a method, characteristics) is good at performance. Our target traceability link recovery method is IR based method, which is major method of automated traceability recovery. Some experiments based on the traceability reference data sets are done and the potential of our method is shown.
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