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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Drop Everything? Analyzing Developer Response to Fix a High Severity Dependency

Drop Everything? Analyzing Developer Response to Fix a High Severity Dependency

Abstract

Although using third-party libraries has become prevalent in contemporary software development, prior work are all in agreement that developers struggle to update their dependencies. They often acknowledge that due to the migration effort, priority and other issues cause lags in the adoption process. On the other hand, with a vulnerability that has showstopping potential, we expect developers to drop everything! to fix the risk. In this new idea paper, we explore a case study of when Log4JShell, which has the highest ever reported severity of 10. Our goal is to analyze the developer response in relation to how fast they migrated to a safer version, and what were the information discussed while fixing this severe vulnerability.

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visibility
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
Average
Average
1