Multilayer perceptron discrimination of software quality in a biomedical data analysis system
Mark D. Alexiuk, Nick J. Pizzi · 2003
Biomedical data analysis typically involves large data sets, a diverse user base and intensive visualization procedures. These features place stringent quality demands upon software development and performance for both the architect and supervisor. An invaluable tool for software supervisors would be the automatic qualitative grading of software objects in terms of their extensibility, reusability, clarity and efficiency. This paper examines the quality assessment of software objects by a multilayer perceptron in relation to a gold standard provided by two independent software architects.