Coming: a Tool for Mining Change Pattern Instances from Git CommitsDemos
Software repositories such as Git have become a relevant source of information for software engineer researcher. For instance, the detection of Commits that fulfill a given criterion (e.g., bugfixing commits) is one of the most frequent tasks done to understand the software evolution. However, to our knowledge, there is not open-source tools that, given a Git repository, returns all the instances of a given change pattern. In this paper we present Coming, a tool that takes an input a Git repository and mines instances of change patterns on each commit. For that, Coming computes fine-grained changes between two consecutive revisions, analyzes those changes to detect if they correspond to an instance of a change pattern (specified by the user using XML), and finally, after analyzing all the commits, it presents a) the frequency of code changes and b) the instances found on each commit. We evaluate Coming on a set of 28 pairs of revisions from Defects4J, finding instances of change patterns that involves If conditions on 26 of them.
Fri 31 MayDisplayed time zone: Eastern Time (US & Canada) change
11:00 - 12:30 | Mining Software Changes and PatternsTechnical Track / Demonstrations / Papers at Centre-Ville Chair(s): Ayşe Başar Ryerson University | ||
11:00 20mTalk | The List is the Process: Reliable Pre-Integration Tracking of Commits on Mailing ListsTechnical Track Technical Track Ralf Ramsauer OTH Regensburg, Daniel Lohmann Leibniz Universität Hannover, Wolfgang Mauerer OTH Regensburg / Siemens AG | ||
11:20 20mTalk | Graph-based Mining of In-the-Wild, Fine-grained, Semantic Code Change PatternsTechnical Track Technical Track Hoan Nguyen Iowa State University, Tien N. Nguyen University of Texas at Dallas, Danny Dig School of EECS at Oregon State University, Son Nguyen The University of Texas at Dallas, Hieu Tran The University of Texas at Dallas, Michael Hilton Carnegie Mellon University, USA | ||
11:40 20mTalk | Coming: a Tool for Mining Change Pattern Instances from Git CommitsDemos Demonstrations | ||
12:00 20mTalk | PatchNet: A Tool for Deep Patch ClassificationDemos Demonstrations Thong Hoang Singapore Management University, Singapore, Julia Lawall Inria/LIP6, Richard J Oentaryo McLaren Applied Technologies, Singapore, Yuan Tian Queens University, Kingston, Canada, David Lo Singapore Management University | ||
12:20 10mTalk | Discussion Period Papers |