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In this paper, we propose a new approach and implement its tool to automatically inspect NIV code smells. We integrate our tool, named NIV-Detector, with Android Studio as a plugin to be available during development time. We use NIV-Detector to inspect 100 Android GitHub projects. As a result, we successfully confirmed ten vulnerable projects with 14 NIV smells.

We evaluate our approach by applying it to three Java APIs with eight client applications from the DaCapo benchmark. DaCapo provides a set of pre-defined usage scenarios. The results show that our component identification approach has a very high precision.

This paper introduces the designed model-based architecture, and notably its core generic XaaS modeling language. It also describes the integration with a constraint solver to be used by the autonomic manager , as well as the interoperability with a Cloud standard (TOSCA).

In this paper, we propose an approach for revealing component descriptors, component instances and component based architecture to materialize the recovered architecture of an object oriented software in component based languages. We applied our solution onto two well known component based languages, OSGi and SOFA.

In this paper, our approach transforms the object-oriented source code in order to produce deployable components. We focus in this paper on the transformation of source code related to instantiation and inheritance dependencies between classes that are in different components.

In this paper, we propose an approach for reengineering object- oriented APIs into component-based ones. We mine components as a group of classes based on the frequency they are used together and their ability to form a quality-centric component.