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State-of-the-art and Challenges of Engineering ML-enabled Software Systems

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SmartSecLab/ML-enabled-software-literature-review

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This repository includes the replication package of - State-of-the-art and Challenges of Engineering ML-enabled Software Systems.

In this research, we explore the state-of-the-art and challenges of engineering AI-enabled software by adhering the complete software engineering process encompassing project management methodologies and life-cycle model conducting SLR.

Requirements to reproduce the diagrams based on the selected primary studies for this review work.

conda create -n se4ai python==3.8.0
pip install -r requirements.txt