Affiliation:
1. Chungbuk National University College of Electrical and Computer Engineering Database/Bio informatics Laboratory Chungda-ro 1, Seowon-Gu, Cheongju SOUTH KOREA
Abstract
The sheer amount of open source codes made available in code repositories and code search engines along with the rapidly increasing releases of Application Programming Interfaces (APIs) have made code devel- opment process easier for programmers. However, learning how to use the elements of an API properly is both challenging and requires learning curve. Mining the available client and test codes can help programmers to iden- tify the best practices in using these APIs. In this paper, we investigate the API usage mining to identify open issues for the researchers. In particular, we make a theoretical comparison of the API usage pattern mining and highlight unresolved issues along with proper suggestions to address them.
Publisher
World Scientific and Engineering Academy and Society (WSEAS)
Subject
General Engineering,General Computer Science