Guiding Software Developers by Social Networking Application Plug-in using the Multiple Bridge Source Repository through a Data Mining Integrated Approach
Anjela Diana Corraya, Mousumi Akter Sumi, Sadia Islam Shachi, Ziaur, Rahman

TL;DR
This paper introduces SNAP, a plugin system that helps social networking app developers by mining multiple repositories to recommend relevant, error-free API usage patterns, thereby simplifying app development.
Contribution
It proposes a novel framework that bridges multiple source repositories and applies data mining to assist developers with API pattern recommendations.
Findings
SNAP effectively recommends relevant API sequences.
The system provides error-free and understandable API patterns.
It supports reuse and modification of API sources.
Abstract
In today's world, social networking is an important (power full) medium of mass communication. People of almost all classes have been interacting with each other and sharing their views, moments, and ideas by using enormous user-friendly applications in different social networking sites. It's really unbelievable to find a person who never heard about the social network. The available social networking sites usually opportune their users to develop various customized applications through particular templates and embedded sources of codes. The users with average knowledge of development often encounter difficulties to reuse those resources and eventually lack guidelines and necessary API recommendations. In our work, we have proposed a framework and model to help those apps developers through a user assistance plug-in tool that is able to provide identical API usage patterns and sequences…
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