Titlebook: Evaluation of Novel Approaches to Software Engineering; 14th International C Ernesto Damiani,George Spanoudakis,Leszek A. Macia Conference

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Evaluation of Software Product Quality Metrics,d other fields. Increasing system complexity, quickly evolving technologies and paradigm shifts have kept software quality research at the forefront. Standards such as ISO’s 25010 express it in terms of sub-characteristics such as maintainability, reliability and security. A significant body of lite

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Model-Driven Development Applied to Mobile Health and Clinical Scores, risk stratification, aid in clinical decision making, assess disease severity or assist diagnosis. However, the problem is that clinical scores data are traditionally obtained manually, which can lead to incorrect data and result. Besides, by collecting biological/health data in real-time from huma

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New Method to Reduce Verification Time of Reconfigurable Real-Time Systems Using R-TNCESs Formalismtime, flexibility, modularity, etc. To deal with these requirements, systems had to include new abilities. Consequently, systems become more complex, and their verification becomes expensive in terms of computation time and memory. Reconfigurable real-time systems are ones of those complex systems t

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On Improving R-TNCES Rebuilding for Reconfigurable Real-Time Systems,imed net condition event systems (R-TNCESs). Indeed, previous computation tree logic (CTL) model repair approaches make the model checking eligible for generating a new correct model from a faulty one at the debugging level. We propose R-TNCESs rebuilding method, which allows both verification and m

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Towards the Efficient Use of Dynamic Call Graph Generators of Node.js Applications,t code easily, and the shared code can be reused as building blocks to create new applications. However, this ever growing environment has its own challenges as well. One of them is security: even simple applications can have many dependencies, and these dependencies might contain malware software.

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Expanding Tracing Capabilities Using Dynamic Tracing Data,ed to support project maintenance and to reduce costs, e.g. by estimating the impact of artifact changes. Many traceability applications require manual effort for creating and managing the necessary data. Current approaches aim at reducing this effort by automating various involved tasks. To support

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