IR based Traceability Link Recovery Method Mining
IR based Traceability Link Recovery Method Mining
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发表时间：
2013-10
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通讯作者：
T. Ueda;Shinpei Ogata;H. Kaiya;K. Kaijiri
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作者：
T. Ueda;Shinpei Ogata;H. Kaiya;K. Kaijiri
可追溯性链接恢复是软件开发中的一个重要过程，已有一些研究，但没有考虑到足够的方法的通用性。可追溯链接恢复的目标包括几种文档，因此恢复方法的充分性取决于这些文档的特征，如平均相似度、一种文档对、文档大小等。我们提出了可追溯链接恢复方法挖掘，它利用由(方法、特征和性能)组成的知识库，根据目标文档的特征确定一种合适的恢复方法。这个知识库显示了哪一对(一种方法、一种特征)性能更好。我们的目标可追溯链接恢复方法是基于IR的方法，这是自动可追溯恢复的主要方法。在可追溯性参考数据集上进行了实验，显示了该方法的潜力。关键词可追溯性；挖掘；信息检索
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. Keywords-traceability; mining; information retrieval