The JDownloader Immune System for Continuous Deployment

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dc.contributor.authorRechenmacher, Thomas
dc.contributor.authorRiehle, Dirk
dc.contributor.authorWeber, Michael
dc.date.accessioned2020-01-04T08:32:51Z
dc.date.available2020-01-04T08:32:51Z
dc.date.issued2020-01-07
dc.description.abstractContinuous deployment can reduce the time from a source code change to a newly deployed application significantly. Increased innovation speed can make all the difference in a competitive market situation. However, deploying at high frequency requires high speeds of discovering bugs in the deployed software. Using the JDownloader file download manager as our example, we present a fitness model to evaluate a continuously deployed software during operation for expected behavior, present the design and implementation of a monitoring component, and evaluate the model and its implementation using data from JDownloader’s multi-million member strong user base. Our evaluation finds that there had been thousands of undetected bugs, and that newly created bugs can be detected and reported 16 times faster than before.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2020.803
dc.identifier.isbn978-0-9981331-3-3
dc.identifier.urihttp://hdl.handle.net/10125/64545
dc.language.isoeng
dc.relation.ispartofProceedings of the 53rd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSelf-Adaptive Systems: Technologies, Domains, Principles, and Practices
dc.subjectbug tracking
dc.subjectcontinuous deployment
dc.subjecterror detection
dc.subjectimmune system
dc.subjectmonitoring
dc.titleThe JDownloader Immune System for Continuous Deployment
dc.typeConference Paper
dc.type.dcmiText

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