Enhancing Collaboration for Software Engineers through Matching

TL;DR

This paper introduces NEXAS, a web-based platform that enhances collaboration among software engineers by algorithmically matching users based on profiles and interests to foster community learning and project collaboration.

Contribution

The paper presents a novel platform that combines profile filtering and matching algorithms to improve collaboration opportunities for software engineers.

Findings

Facilitates peer connections based on technical interests

Supports discovery of open projects and collaboration groups

Creates a dedicated community network for software engineers

Abstract

In recent years, the field of software engineering has experienced a considerable increase in demand for competent experts, resulting in an increased demand for platforms that connect software engineers and facilitate collaboration. In response to this necessity, in this paper we present a project to solve the lack of a proper one-stop connection platform for software engineers and promoting collaborative learning and upskilling. The idea of the project is to develop a web-based application (NEXAS) that would facilitate connecting and collaborating between software engineers. The application would perform algorithmic matching to suggest user connections based on their technical profiles and interests. The users can filter profiles, discover open projects, and form collaboration groups. Using this application will enable users to connect with peers having similar interests, thereby creating a community network tailored exclusively for software engineers.