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Several software quality models can be found in the literature with different status regarding normalization issues. Besides, a vast amount of assessment and measurement methods have been proposed in order to monitor the different quality characteristics of various artefacts. The difficulty to integrate them meaningfully into the development process often results in a vastly inefficient use of measurement. One reason for this is related to the waste of time needed to select and integrate different methods. The Model-Centric Quality Assessment (MoCQA) framework is designed to support a flexible integration of different types of quantitative quality assessment, possibly based on different models, all along the software development lifecycle. Among the efforts to assist the task of designing MoCQA models, this paper introduces QuaTALOG, a tool designed to support the Model-Centric Quality Assessment by providing effective information about available measurement and assessment methods to analysts using the framework.