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MSR 2022
Mon 23 - Tue 24 May 2022
co-located with ICSE 2022

In the early stage of development, developers copied internal code snippets to enhance developing efficiency. With the rapid growth of Bytedance, similar or equivalent code snippets across different repositories or different product lines’ codebases would potentially increase the cost of maintenance and distribute vulnerable code snippets. With the application of Clone-Detection, there are multi- ple well-established tools or techniques used for detecting similar code snippets in Java, JavaScript, Objective C and etc. We could hardly find similar tools available for Go, a widely-used program- ming language in the field of server development, especially at Bytedance. For the lack of public and labeled datasets, we utilized a great number of code snippets in Bytedance’s codebase and trained an unsupervised model to propose GoCopyCatch (GoCC), a tool and technique for Clone-Detection in Go.

Wed 18 May

Displayed time zone: Eastern Time (US & Canada) change

03:00 - 03:50
03:00
4m
Talk
An Alternative Issue Tracking Dataset of Public Jira Repositories
Data and Tool Showcase Track
Lloyd Montgomery Universität Hamburg, Clara Marie Lüders University of Hamburg, Walid Maalej University of Hamburg
Pre-print Media Attached
03:04
7m
Talk
Smelly Variables in Ansible Infrastructure Code: Detection, Prevalence, and Lifetime
Technical Papers
Ruben Opdebeeck Vrije Universiteit Brussel, Ahmed Zerouali Vrije Universiteit Brussel, Coen De Roover Vrije Universiteit Brussel
Pre-print
03:11
7m
Talk
Beyond Duplicates: Towards Understanding and Predicting Link Types in Issue Tracking Systems
Technical Papers
Clara Marie Lüders University of Hamburg, Abir Bouraffa University of Hamburg, Walid Maalej University of Hamburg
DOI Pre-print
03:18
7m
Talk
Real-World Clone-Detection in Go
Industry Track
Qinyun Wu Bytedance Ltd., Huan Song Bytedance Ltd., Ping Yang Bytedance Network Technology
03:25
4m
Talk
Towards Using Gameplay Videos for Detecting Issues in Video Games
Registered Reports
Emanuela Guglielmi University of Molise, Simone Scalabrino University of Molise, Gabriele Bavota Software Institute, USI Università della Svizzera italiana, Rocco Oliveto University of Molise
Pre-print
03:29
4m
Talk
Is Surprisal in Issue Trackers Actionable?
Registered Reports
James Caddy University of Adelaide, Markus Wagner University of Adelaide, Australia, Christoph Treude University of Melbourne, Earl T. Barr University College London, UK, Miltiadis Allamanis Microsoft Research
DOI Pre-print Media Attached
03:33
17m
Live Q&A
Discussions and Q&A
Technical Papers


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