1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SE2025★ 1 cited
Monitoring Machine Learning Systems: A Multivocal Literature Review
Hira Naveed, Scott Barnett, Chetan Arora +3
Context: Dynamic production environments make it challenging to maintain reliable machine learning (ML) systems. Runtime issues, such as changes in data patterns or operating conte…
cs.SE2023
Model-driven Engineering for Machine Learning Components: A Systematic Literature Review
Hira Naveed, Chetan Arora, Hourieh Khalajzadeh +2
Context: Machine Learning (ML) has become widely adopted as a component in many modern software applications. Due to the large volumes of data available, organizations want to incr…
cs.SE2023
Runtime Monitoring of Human-centric Requirements in Machine Learning Components: A Model-driven Engineering Approach
Hira Naveed
As machine learning (ML) components become increasingly integrated into software systems, the emphasis on the ethical or responsible aspects of their use has grown significantly. T…