Forming Teams for Teaching Programming based on Static Code Analysis

TL;DR

This paper introduces SOFORG, a tool that uses static code analysis to form programming teams based on students' coding styles, skills, and preferences, aiming to improve collaborative learning outcomes.

Contribution

It presents a novel method for team formation in programming education using static analysis of source code semantics, considering individual coding styles and practices.

Findings

Effective team formations based on code semantics improve learning outcomes.

The tool accurately captures students' programming styles and skills.

Team configurations can be optimized for pair programming or leadership roles.

Abstract

The use of team for teaching programming can be effective in the classroom because it helps students to generate and acquire new knowledge in less time, but these groups to be formed without taking into account some respects, may cause an adverse effect on the teaching-learning process. This paper proposes a tool for the formation of team based on the semantics of source code (SOFORG). This semantics is based on metrics extracted from the preferences, styles and good programming practices. All this is achieved through a static analysis of code that each student develops. In this way, you will have a record of students with the information extracted; it evaluates the best formation of teams in a given course. The team's formations are based on programming styles, skills, pair programming or with leader.