Data warehousing in an integrated health system: building the business case

Mining software historical repositories (SHR) has emerged as a research direction Sun, over the past decade, which achieved substantial success in both research and practice to support various software maintenance tasks. Use of different types of SHR, or even different versions of the software project may derive different results for the same technique or approach of a maintenance task. Inclusion of unrelated information in SHR-based technique may lead to decreased effectiveness or even wrong results. To the best of our knowledge, few focus is on this respect in the SE community. This paper attempts to bridge this gap and proposes a preprocess to facilitate selection of related SHR to support various software maintenance tasks. The preprocess uses the topic model to extract the related information from SHR to help support software maintenance, thus improving the effectiveness of traditional SHR-based technique. Empirical results show the effectiveness of our approach.