Score breakdown

Hidden Technical Debt in Machine Learning Systems

paper-0077 · paper · 2015

D. Sculley et al.

Why ML systems rot in production; founding text of MLOps.

Abstract

Machine learning offers a fantastically powerful toolkit for building useful complex prediction systems quickly. This paper argues it is dangerous to think of these quick wins as coming for free. Using the software engineering framework of technical debt, we find it is common to incur massive ongoing maintenance costs in real-world ML systems. We explore several ML-specific risk factors to account for in system design. These include boundary erosion, entanglement, hidden feedback loops, undeclared consumers, data dependencies, configuration issues, changes in the external world, and a variety of system-level anti-patterns. [OpenAlex]

Academic, score -0.1874

MetricStatusValueNorm.WeightContributionSourceConfidenceLicenseProvenance
citation_countpresent843.00.003790.50.001895OpenAlexhighOpenAlex, CC0 metadatalink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent11.00.7142860.050.035714OpenAlexmediumOpenAlex, CC0 metadatalink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score 0.0865

MetricStatusValueNorm.WeightContributionSourceConfidenceLicenseProvenance
citation_countpresent843.00.003790.20.000758OpenAlexhighOpenAlex, CC0 metadatalink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent11.00.7142860.40.285714OpenAlexmediumOpenAlex, CC0 metadatalink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.2526

MetricStatusValueNorm.WeightContributionSourceConfidenceLicenseProvenance
citation_countpresent843.00.003790.250.000948OpenAlexhighOpenAlex, CC0 metadatalink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent11.00.7142860.10.071429OpenAlexmediumOpenAlex, CC0 metadatalink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.175recorded as missing; penalized by rule, never imputed

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