Constructing Bug Knowledge Graph as a Service for Bug Search

Author(s):  
Ying Chen

When encountering bug issues, developers tend to search the bug repository and commit repository for references. However, the links between bug reports and commits in version control systems are often missed, and the information in bug repository and commit repository can provide is simple. When developers search a bug issue, they can only get the information of bug reports or commits, which are loose and difficult for developers to refer. What’s more, many searching results are not accurate. To deal with these problems, this paper proposes an approach to deal with the bug and commit information with the topic model, and construct bug knowledge graph as a service to assist in bug search. In addition, as the amount of bug related information continuously increase, it is time-consuming to update the data. We can automatically update the bug knowledge graph with the LTM topic model (a lifelong topic model). Finally, the experiment with the bug reports from Bugzilla@Mozilla and the corresponding commits from Github was conducted. The experiment results show that our approach is effective and efficient to help developers search relevant bugs for reference by constructing the bug knowledge as a service.

Author(s):  
Yu. A. Protasevich ◽  
O. A. Zmeev ◽  
D. A. Sokolov

The article describes an approach to organizing the teacher-students interaction in programming courses using the Git version control system. In order to select the most suitable and affordable system for educational needs a comparative analysis of different Git repository management systems was carried out. Based on the experience of various educational institutions that use version control systems in their courses, the advantages and disadvantages of using these systems in teaching were identified. Taking into account the existing problems, a software solution was developed based on the GitLab system. As part of this solution, a method is proposed for organizing the work of a teacher and students in disciplines that use version control systems. This approach implies using both GitLab and additional system, which serves as a manager for Git repositories and is designed to facilitate the work of the teacher and administrator by automating the tasks they perform. The main purpose of the article is a detailed description of this approach: limiting permissions to both teachers and students, GitLab organization and functionality, a list of use cases for each user. The article also presents common workflows of the additional system, its main entities and their relationships and an overview of the features that the system provides.


2019 ◽  
Vol 214 ◽  
pp. 05009
Author(s):  
Vito Di Benedetto ◽  
Vladimir Podstavkov ◽  
Michele Fattoruso ◽  
Bruno Coimbra

This paper describes the current architecture of Continuous Integration (CI) service developed at Fermilab, encountered successes and difficulties, as well as future development plans. The current experiment code has hundreds of contributors that provide new features, bug fixes, and other improvements. Version control systems help developers to collaborate in contributing software for their experiments, while the CI system helps developers keep their code healthy. The Fermilab CI service allows experiments and projects to test and validate their offline production and analysis code on the supported platforms. It is built on top of Jenkins, designed to be set up from a configuration file that provides implementation for each phase of the CI workflow, and able to validate experiment code through grid jobs. This CI service provides a dashboard for easy access to logs and statistical graphs. Since the CI service has been adopted by Fermilab experiments/projects, it proved to be very useful to intercept issues in their code early on and get them fixed before running it in production. Currently the CI service is in use by the ArgoNeuT, DUNE, g-2, LArIAT, MINERvA, mu2e, NOvA, SBND and uBooNE experiments and by the following projects: ART and LArSoft software suites, GENIE, and Glidein-WMS. The CI service is under active development and planning to support code profiling.


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