2013 35th International Conference on Software Engineering (ICSE) (2013)
San Francisco, CA, USA
May 18, 2013 to May 26, 2013
Amruta Gokhale , Department of Computer Science, Rutgers University, Piscataway, NJ, USA
Vinod Ganapathy , Department of Computer Science, Rutgers University, Piscataway, NJ, USA
Yogesh Padmanaban , Department of Computer Science, Rutgers University, Piscataway, NJ, USA
Software developers often need to port applications written for a source platform to a target platform. In doing so, a key task is to replace an application's use of methods from the source platform API with corresponding methods from the target platform API. However, this task is challenging because developers must manually identify mappings between methods in the source and target APIs, e.g., using API documentation. We develop a novel approach to the problem of inferring mappings between the APIs of a source and target platform. Our approach is tailored to the case where the source and target platform each have independently-developed applications that implement similar functionality. We observe that in building these applications, developers exercised knowledge of the corresponding APIs. We develop a technique to systematically harvest this knowledge and infer likely mappings between the APIs of the source and target platform. The output of our approach is a ranked list of target API methods or method sequences that likely map to each source API method or method sequence. We have implemented this approach in a prototype tool called Rosetta, and have applied it to infer likely mappings between the Java2 Platform Mobile Edition and Android graphics APIs.
Random variables, Androids, Humanoid robots, Games, Probability distribution, Databases, Inference algorithms
A. Gokhale, V. Ganapathy and Y. Padmanaban, "Inferring likely mappings between APIs," 2013 35th International Conference on Software Engineering (ICSE), San Francisco, CA, USA, 2013, pp. 82-91.