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Research interests/expertise :
Research interests/expertise :
Global software analytics and analysis, software traceability, software evolution, knowledge modelling, smart services, information extraction, machine learning.
Global software analytics and analysis, software traceability, software evolution, knowledge modelling, smart services, information extraction, machine learning.
My research program introduced starting 2004 - Ambient Software Engineering as a cross-disciplinary approach, which integrates global and local knowledge resources to move software engineering as a domain of discourse a step closer towards adopting this knowledge graph and its underlying use of Semantic Web core technologies. Throughout the years the research expanded to the software engineering domain, introducing a knowledge graph will provide a novel infrastructure that promotes sharing of knowledge and analysis results, while at the same time, promoting the development and reuse of new global source code analysis services to support typical programming and software evolution tasks through these newly created information hubs. These knowledge graphs form not are key for establishing traceability but also can form the basis to explainable AI.
My research program introduced starting 2004 - Ambient Software Engineering as a cross-disciplinary approach, which integrates global and local knowledge resources to move software engineering as a domain of discourse a step closer towards adopting this knowledge graph and its underlying use of Semantic Web core technologies. Throughout the years the research expanded to the software engineering domain, introducing a knowledge graph will provide a novel infrastructure that promotes sharing of knowledge and analysis results, while at the same time, promoting the development and reuse of new global source code analysis services to support typical programming and software evolution tasks through these newly created information hubs. These knowledge graphs form not are key for establishing traceability but also can form the basis to explainable AI.
It is with deep sadness to announce the passing of Dr. Ellis Eghan at the young age of 35. Ellis was my PhD student and completed his PhD in 2017. We are all deeply saddened by this loss.
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