The inspectors' characteristics are selected by employing ML algorithms to find the most common RPs w.r.t each fault-types. Our results show that our approach ...

Sep 24, 2019 · Qi et al. (2018) utilized fixation points and gaze paths for material recognition and improve the performance by generating saliency maps.

Abstract--Software development is a multi-phase process that starts with requirement engineering. Requirements elicited from different stakeholders are ...

This study analyzes the reading patterns (RPs) of inspectors recorded by eye-tracking equipment and evaluates their abilities to find various fault-types. The ...

Dive into the research topics of 'Using Supervised Learning to Guide the Selection of Software Inspectors in Industry'. Together they form a unique fingerprint.

This study analyzes the reading patterns (RPs) of inspectors recorded by eye-tracking equipment and evaluates their abilities to find various fault-types. The ...

Sep 15, 2024 · We explore two critical applications of AI and ML in quality management: predictive quality analytics and automated quality inspections.

You want to use supervised learning for automated resume screening, as in the example above. Which of the following statements about the Training Set are true?

Apr 11, 2024 · Powered by machine learning, automated visual inspection systems make decisions by not only comparing it to the reference but also understanding ...

The results from the current study show that, teams of inspectors with diverse LS's are significantly more effective at detecting faults as compared to teams of ...