DP Miner Description
DP Miner is an Integrated Framework that can collect various types of data required for Defected Prediction. It can collect Repository List, Patch, Bug Introducing Commit (BIC), Metric.
For more information, please visit our github page, DPMinerGitHub. Thank you.
Repository List
A list of repository URLs matching the conditions desired by the user is extracted from the version control system and the open source repository, GitHub. To extract the URL list, DP Miner use Search API among GitHub REST APIs. Possible conditions are as followed: commit count, recent date, fork number, language type, and author token.
Patch/BIC
The patch is function to collects bug fixing commit(BFC). There are three ways to collect bug fixing commit (BFC): Jira, GitHub Issue, Commit Message. After collecting BFC (Bug Fix Commits) by the method described in Patch, BIC (Bug Introducing Commits) is collected by using SZZ algorithm. In this framework, two SZZ algorithms, B-SZZ and AG-SZZ, are used.
Metric
The metric is information of source code for defect prediction. There are three representative metrics: Characteristic Vector, Bag of Words, Meta Data.
