Using Machine Intelligence to Prioritise Code Review RequestsSEIP
Tue 25 May 2021 22:50 - 23:10 at Blended Sessions Room 1 - 1.1.1. Code Review: Automation
Modern Code Review (MCR) is the process of reviewing new code changes that need to be merged with an existing codebase. As a developer, one may receive many code review requests every day, i.e., the review requests need to be prioritised. Manually prioritising review requests is a challenging and time-consuming process. To address the above problem, we conducted an industrial case study at Ericsson aiming at developing a tool called Pineapple, which uses a Bayesian Network to prioritise code review requests. To validate our approach/tool, we deployed it in a live software development project at Ericsson, wherein more than 150 developers develop a telecommunication product. We focused on evaluating the predictive performance, feasibility, and usefulness of our approach. The results indicate that Pineapple has competent predictive performance (RMSE = 0.21 and MAE = 0.15). Furthermore, around 82.6% of Pineapple’s users believe the tool can support code review request prioritisation by providing reliable results, and around 56.5% of the users believe it helps reducing code review lead time. As future work, we plan to evaluate Pineapple’s predictive performance, usefulness, and feasibility through a longitudinal investigation.
Tue 25 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
22:30 - 23:30 | 1.1.1. Code Review: AutomationSEIP - Software Engineering in Practice / Technical Track at Blended Sessions Room 1 | ||
22:30 20mPaper | LightSys: Lightweight and Efficient CI System for Improving Integration Speed of SoftwareSEIP SEIP - Software Engineering in Practice Geunsik Lim Samsung Research, Samsung Electronics, MyungJoo Ham Samsung Electronics, Jijoong Moon Samsung Electronics, Wook Song Samsung Electronics Link to publication DOI Pre-print Media Attached | ||
22:50 20mPaper | Using Machine Intelligence to Prioritise Code Review RequestsSEIP SEIP - Software Engineering in Practice Pre-print Media Attached | ||
23:10 20mPaper | Towards Automating Code Review ActivitiesTechnical Track Technical Track Rosalia Tufano Università della Svizzera Italiana, Luca Pascarella Delft University of Technology, Michele Tufano Microsoft, Denys Poshyvanyk College of William & Mary, Gabriele Bavota Software Institute, USI Università della Svizzera italiana Pre-print Media Attached |