Abstract
This paper presents a methodology, a technique and an ongoing implementation, aimed at supporting software porting (i.e. to adapt the software to be used in different execution environments), from object oriented domain towards Cloud Computing. The technique is based on semantic representation of Cloud Application Programming Interfaces, and on automated algorithmic concept recognition in source code, integrated by structural based matchmaking techniques. In particular the following techniques are composed and integrated: automatic recognition of the algorithms and algorithmic concepts implemented in the source code and the calls to libraries and APIs performing actions and functionalities relevant to the target environment; comparison through matchmaking of the recognized concepts and APIs with those present in the functional ontology which describes the target API; mapping of the source code excerpts and the source calls to APIs to the target API calls and elements.
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Di Martino, B., Cretella, G. (2013). Semantic and Algorithmic Recognition Support to Porting Software Applications to Cloud. In: Moschitti, A., Plank, B. (eds) Trustworthy Eternal Systems via Evolving Software, Data and Knowledge. EternalS 2012. Communications in Computer and Information Science, vol 379. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45260-4_1
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DOI: https://doi.org/10.1007/978-3-642-45260-4_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45259-8
Online ISBN: 978-3-642-45260-4
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