Abstract: |
In order to effectively manage technical debt (TD), a set of indicators has been used by automated approaches to identify TD items. However, some debt may not be directly identified using only metrics collected from the source code. In thie sense, this work aims to propose an approach to support and automate the identification and management of different TD types through code comment analysis by considering the developers’ point of view. |