A Comprehensive Framework for the Automatic Evaluation of the Quality of ML-based Software Systems

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Nowadays, Machine Learning Software Systems (MLSS)s have become a part of our daily life (e.g., recommendation systems, speech recognition, face detection). An increasing demand is observed in various companies to employ ML for solving problems in their business. The heart of MLSS is an ML model. These models are implemented as software and like any other software, quality assurance is necessary. The quality assessment of MLSSs is regarded as a challenging task and is currently a hot research topic in the literature. According to the growing deployment of MLSSs, there is a strong need for ensuring their serving quality. False or poor decisions of such systems can lead to malfunction of other systems, significant financial losses, or even threat to human life.In this project, for a comprehensive quality assessment of ML models in MLSSs, the role of the ML model as a part of the system at different stages of its life cycle will be considered. Various aspects of the quality of ML models from performance and robustness (like prediction accuracy, data bias, and variance), to scalability, hardware/software demand, complexity, user acceptance, and explainability will be evaluated. A multi-objective framework will be implemented to take into account all properties of ML model quality in MLSSs. Finally, we will aggregate our proposed solutions in a practical toolset to automatically evaluate, validate, and track the quality of ML models throughout their life cycle. The toolset will be integrated into the state-of-the-art tools for continuous integration and delivery of software systems. This toolset will provide MoovAI as well as other Quebec and Candian companies using ML, with a competitive edge in the booming ML and AI market. The dependability of their MLSS will be a great asset in winning new markets. The usage of high-quality ML models and reliable MLSS will increase trust in ML/AI technologies across the Quebec and Canadian industry.