ChangeBeadsThreader: An Interactive Environment for Tailoring Automatically Untangled Changes

To improve the usability of a revision history, change untangling, which reconstructs the history to ensure that changes in each commit belong to one intentional task, is important. Although there are several untangling approaches based on the clustering of fine-grained editing operations of source code, they often produce unsuitable result for a developer, and manual tailoring of the result is necessary. In this paper, we propose ChangeBeadsThreader (CBT), an interactive environment for splitting and merging change clusters to support the manual tailoring of untangled changes. CBT provides two features: 1) a two-dimensional space where fine-grained change history is visualized to help users find the clusters to be merged and 2) an augmented diff view that enables users to confirm the consistency of the changes in a specific cluster for finding those to be split. These features allow users to easily tailor automatically untangled changes.Comment: 5 pages, SANER 202

Approaches, Techniques, and Tools for Identifying Important Code Changes to Help Code Reviewers

Software development is a collaborative process where many developers come together and work on a project. To make things easy and manageable, software is developed on a version control system. A version control system is a centralized system which stores code and adds code from all other developers as an increment to the code base in the repository. Since multiple people work on the same code repository together, it is important to make sure that their contributions do not conflict with each other. It is important to maintain the quality and integrity of the repository. This is where the code review process comes into the picture. All the changes made to the repository by developers are reviewed by other, preferably senior developers, before it is integrated into the repository. This is done to maintain a high standard of development. The problem is that this is a manual and highly time consuming process. This research proposes a tool that tries to optimize the code review process. This is done by ranking the changes that the developers need to review: this makes it easier for the developer to decide which change he/she needs to review first. Also since every reviewer has their own preference and style, the tool takes feedback from the code reviewer after every change and readjusts the ranked change list according to his/her feedback. Adding to that, the tool classifies each change and tags it so that the code reviewers have a better understanding of the change that he/she is about to review. It also provides additional refactoring information about each change. Refactoring changes are very easy to miss, since they are not usually erroneous changes, but they erode the quality of the software overtime. The tool points out these changes so that these changes are not missed by the code reviewer. The research was evaluated on 7 open source project and a usability study was conducted which prove that this tool does have a positive impact on the code review process