Beschreibung
Software developers often need to port applications written for a source platform to a target platform. One of the key tasks here is to find matching API calls in the target platform for the given API calls in the source platform. This task involves exhaustive reading in target platform API (Application Programming Interface) documentation to identify API methods corresponding to the given API methods of the source platform. We introduce an approach to the problem of inferring mapping between the APIs of a source and target platforms. It is constructed based on independently developed applications on source and target platforms performing similar functionality. We develop two dynamic analysis techniques to infer likely mappings between the Graphical APIs of JavaME and Android Graphical platform. 1.Rosetta Mapper: A tool which provides a ranked list of target API methods or method sequences that likely map to each source API method or method sequences. 2.Rosetta Classifier: A supervised learning tool which classifies whether given Mapping is true or false using Support Vector Machines.
Autorenporträt
I did my Bachelors in Information Technology at College Of Engineering,Guindy,Anna University,Chennai,India in 2008.I worked in ORACLE Server Technologies,Bangalore for two years before coming to Rutgers for my masters in Computer Science. I am passionate towards Data Science,Computer Networks, Algorithms, Data Structures and Programming puzzles.
Herstellerkennzeichnung:
BoD - Books on Demand
In de Tarpen 42
22848 Norderstedt
DE
E-Mail: info@bod.de
