Context: Software Maintainability is an important and at the same time challenging task, due to its cost and time-consuming factor. One branch of Software Maintainability is bug prediction which in the last decade has attracted much interest in the research community. Goal: The aim of this thesis work is to understand if the ’Bug Prediction’ can be used as a predictor for the ’Test Fragility’, in other words, if there is any sort of correlation between the two. Method: A script has been created that calculates for each project the code quality metrics, uses them to predict the bug-proneness of the classes, and finally calculates the linear regression between the results of the bug prediction and the code fragility metrics.