Elimination Simulation of Incompatibility of Software Transplantation on Different Platform

Abstract

The barrier free transplantation of software is critical to the development of intelligent software. On different software platform, there are great differences between the software interfaces and the communication protocols, resulted in software cannot be directly transplanted on different platform. Once the platform is different, the differences of software characteristic are big, and the software compatibility will become worse rapidly. The incompatibility problem is occurred in the transplantation process, the effective software transplantation cannot be completed. An improved software features compatibility elimination method is proposed based on K-means indefinite feature clustering algorithm. The incompatible software features probability is obtained in difference platform, software features are obtained. The incompatibility of software transplantation is eliminated on the difference platform, to ensure that the software transplantation is operated successfully. The experiment results show that, the parallel efficiency of software transplantation is improved on the different platform, the performance is better than traditional method. The efficiency and stability of the software transplantation is good, and it is an effective software features incompatibility processing method.

Revitalizing Legacy Systems: Extracting Key Features for Software Transplantation

“…Haitao [15] proposed an improved software feature similarity disposal technique based on the k-means clustering algorithm that ensure effective software transplantation.…”