Matias Martinez

Software repositories such as Git have become a relevant source of information for software engineer researchers. 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 source code change pattern. In this talk, we present Coming, a tool that takes an input a Git repository and mines instances of source code 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). Finally, after analyzing all the commits, Coming presents the frequency of code changes and the instances found on each commit.

Astor is an open-source framework for repairing buggy Java program, which includes 5 publicly available repair approaches. Those repair approaches take as input a buggy Java program (having at least one failing test case that exposes the bug) and search for a patch that produces all test cases to pass. Astor provides twelve extension points that form the design space of program repair. Using those extension points, program repair researchers can create new repair approaches or extend those included in the framework by choosing existing components (among 33 ones) or implementing new ones. In this talk, we will first discuss the main techniques proposed on the field of automated software repair. Then, we will discuss how to execute repair approaches included in Astor framework, how to extend them, and how to implement new repair approaches reusing components provided by Astor.