47 citations · 94 across the 8 of their papers we have counts for
8 papers
An empirical study of testing machine learning in the wild
Moses Openja, Foutse Khomh, Armstrong Foundjem +4
Recently, machine and deep learning (ML/DL) algorithms have been increasingly adopted in many software systems. Due to their inductive nature, ensuring the quality of these systems…
Bugs in Machine Learning-based Systems: A Faultload Benchmark
Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh +2
The rapid escalation of applying Machine Learning (ML) in various domains has led to paying more attention to the quality of ML components. There is then a growth of techniques and…
Has Your FaaS Application Been Decommissioned Yet? -- A Case Study on the Idle Timeout in Function as a Service Infrastructure
Kim Long Ngo, Joydeep Mukherjee, Zhen Ming Jiang +1
Function as a Service (FaaS) is a new cloud technology with automated resource management. Different from traditional cloud computing, each FaaS cloud function can only run a fixed…
Towards a Change Taxonomy for Machine Learning Systems
Aaditya Bhatia, Ellis E. Eghan, Manel Grichi +4
Machine Learning (ML) research publications commonly provide open-source implementations on GitHub, allowing their audience to replicate, validate, or even extend machine learning…
Towards Build Verifiability for Java-based Systems
Jiawen Xiong, Yong Shi, Boyuan Chen +3
Build verifiability refers to the property that the build of a software system can be verified by independent third parties and it is crucial for the trustworthiness of a software…
Towards Training Reproducible Deep Learning Models
Boyuan Chen, Mingzhi Wen, Yong Shi +4
Reproducibility is an increasing concern in Artificial Intelligence (AI), particularly in the area of Deep Learning (DL). Being able to reproduce DL models is crucial for AI-based…
Towards a consistent interpretation of AIOps models
Yingzhe Lyu, Gopi Krishnan Rajbahadur, Dayi Lin +3
Artificial Intelligence for IT Operations (AIOps) has been adopted in organizations in various tasks, including interpreting models to identify indicators of service failures. To a…
An Exploratory Study on Machine Learning Model Stores
Minke Xiu, Zhen Ming, Jiang +1
Recent advances in Artificial Intelligence, especially in Machine Learning (ML), have brought applications previously considered as science fiction (e.g., virtual personal assistan…