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ZENODO
Dataset . 2023
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 . 2023
License: CC BY
Data sources: ZENODO
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Monitoring ML Systems: Challenges, Solutions and Metrics from a Practitioners' Perspective

Monitoring ML Systems: Challenges, Solutions and Metrics from a Practitioners' Perspective

Abstract

This is the dataset for the paper "Monitoring ML Systems: Challenges, Solutions and Metrics from a Practitioners' Perspective". The dataset is recorded in an MS Excel file which contains the following Excel sheets, and the description of each sheet is briefly presented below. (1) Selected Projects (GitHub) contain the 15 selected ML projects with the URL of each project. (2) Raw Data (GitHub) contains the information about the randomly selected 600 issues, such as issue titles, issue links, issue id. (3) Raw Data (SO) contains the information about the randomly selected 2088 SO posts (part of the 2174 SO posts), such as post titles, post link, post id, and open date. (4) MLOps (SO) contains the information about the 86 MLOps SO posts (part of the 2174 SO posts), such as post titles, post link, post id, and open date. (5) Identified Challenges (GitHub) contain the list of categories, subcategories, and codes of identified challenges from GitHub issues. (6) Identified Solutions (GitHub) contain the list of categories, subcategories, and codes of identified solutions from GitHub issues. (7) Identified Metrics (GitHub) contain the list of identified metrics from GitHub issues. (8) Identified Challenges (SO) contain the list of categories, subcategories, and codes of identified challenges from SO posts. (9) Identified Solutions (SO) contain the list of categories, subcategories, and codes of identified solutions from SO posts. (10) Identified Metrics (SO) contain the lists of identified metrics from SO posts. (11) Identified Challenges (Interview) contain the list of categories, subcategories, and codes of identified challenges from interviews. (12) Identified Solutions (Interview) contain the list of categories, subcategories, and codes of identified solutions from interviews. (13) Identified Metrics (Interview) contain the list of identified metrics from interviews. (14) Identified Challenges (Final) contain the taxonomy of the final challenges identified from GitHub issues, SO posts, and interviews. (15) Identified Solutions (Final) contain the taxonomy of the final solutions identified from GitHub issues, SO posts, and interviews. (16) Identified Metrics (Final) contain the final list of metrics identified from GitHub issues, SO posts, and interviews.

Keywords

Monitoring, Machine Learning, Stack Overflow, GitHub, Empirical Study

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download
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
downloads
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0
Average
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6
3