Bus factor explorer

buir.contributor.authorAhmed, Muhammad Umair
buir.contributor.authorTüzün, Eray
buir.contributor.orcidAhmed, Muhammad Umair|0000-0003-0791-2398
buir.contributor.orcidTüzün, Eray|0000-0002-5550-7816
dc.citation.epage2021en_US
dc.citation.spage2018
dc.contributor.authorKlimov, E.
dc.contributor.authorAhmed, Muhammad Umair
dc.contributor.authorSviridov, N.
dc.contributor.authorDerakhshanfar, P.
dc.contributor.authorTüzün, Eray
dc.contributor.authorKovalenko, V.
dc.coverage.spatialLuxembourg, Luxembourg
dc.date.accessioned2024-03-07T08:32:28Z
dc.date.available2024-03-07T08:32:28Z
dc.date.issued2023-11-08
dc.departmentDepartment of Computer Engineering
dc.descriptionConference Name: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)
dc.descriptionDate of conference: 11-15 September 2023
dc.description.abstractBus factor (BF) is a metric that tracks knowledge distribution in a project. It is the minimal number of engineers that have to leave for a project to stall. Despite the fact that there are several algorithms for calculating the bus factor, only a few tools allow easy calculation of bus factor and convenient analysis of results for projects hosted on Git-based providers. We introduce Bus Factor Explorer, a web application that provides an interface and an API to compute, export, and explore the Bus Factor metric via treemap visualization, simulation mode, and chart editor. It supports repositories hosted on GitHub and enables functionality to search repositories in the interface and process many repositories at the same time. Our tool allows users to identify the files and subsystems at risk of stalling in the event of developer turnover by analyzing the VCS history. The application and its source code are publicly available on GitHub at https://github.com/JetBrains-Research/bus-factor-explorer. The demonstration video can be found on YouTube: https://youtu.be/uIoV79N14z8
dc.description.provenanceMade available in DSpace on 2024-03-07T08:32:28Z (GMT). No. of bitstreams: 1 Bus_factor_explorer.pdf: 3315883 bytes, checksum: 7b0788a2b07c787401b7ecdcbbae646d (MD5) Previous issue date: 2023-11-08en
dc.identifier.doi10.1109/ASE56229.2023.00015
dc.identifier.eisbn979-8-3503-2996-4
dc.identifier.eissn2643-1572
dc.identifier.isbn979-8-3503-2997-1
dc.identifier.issn1938-4300
dc.identifier.urihttps://hdl.handle.net/11693/114378
dc.language.isoen_US
dc.publisherIEEE
dc.relation.isversionofhttps://dx.doi.org/10.1109/ASE56229.2023.00015
dc.source.title2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)
dc.subjectBus factor
dc.subjectTruck factor
dc.subjectKnowledge management
dc.subjectIntelligent collaboration tools
dc.titleBus factor explorer
dc.typeConference Paper

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