An Exploratory Study on Machine Learning Model Management

J Latendresse, S Abedu, A Abdellatif… - ACM Transactions on …, 2024 - dl.acm.org
Effective model management is crucial for ensuring performance and reliability in Machine
Learning (ML) systems, given the dynamic nature of data and operational environments …

23 shades of self-admitted technical debt: An empirical study on machine learning software

D OBrien, S Biswas, S Imtiaz, R Abdalkareem… - Proceedings of the 30th …, 2022 - dl.acm.org
In software development, the term “technical debt”(TD) is used to characterize short-term
solutions and workarounds implemented in source code which may incur a long-term cost …

Prevalence of code smells in reinforcement learning projects

N Cardozo, I Dusparic… - 2023 IEEE/ACM 2nd …, 2023 - ieeexplore.ieee.org
Reinforcement Learning (RL) is being increasingly used to learn and adapt application
behavior in many domains, including large-scale and safety critical systems, as for example …

[PDF][PDF] Reliable Infrastructure as Code for Decentralized Organizations

D Sokolowski - 2024 - programming-group.com
IT must be reliable for organizations to thrive and quickly adaptable for their swift reaction to
their environment. Agility is vital, and DevOps achieves these goals by empowering …

The Effect of Programming Language in Software Bug Prediction

G Jayadev, K Gayathri, T Babu… - … and Industry 4.0 …, 2022 - ieeexplore.ieee.org
Software maintenance is a very important phase in the life cycle of software development. As
part of maintenance, we need to identify bugs within the code and fix them for every release …

[PDF][PDF] 4.2 Paper 2-On the Impact of Programming Languages on Code Quality: A Reproduction Study

ED Berger, C Hollenbeck, P Maj, O Vitek… - Analyzing Large Code …, 2023 - dspace.cvut.cz
However, large-scale hosting services for code, such as GitHub or SourceForge, offer a
glimpse into the lifecycles of software. Not only do they host the sources for millions of …