Code Smells Detective Educational Game: Quality and Pedagogical Perception Evaluation Dataset

This repository contains the evaluation data for the "Code Smells Detective" educational game, a digital tool developed to support the teaching-learning process of code smells. The evaluation was conducted with 14 undergraduate and graduate Computer Science students, using the MEEGA+ model (Model for the Evaluation of Educational Games) to measure perceptions of Usability and Player's Experience. The spreadsheet includes the responses collected through a structured questionnaire, consisting of 34 items rated on a 5-point Likert scale, organized according to the MEEGA+ model dimensions (Aesthetics, Learnability, Operability, Accessibility, Error Protection, Trust, Challenge, Satisfaction, Social Interaction, Fun, Focused Attention, Relevance, and Perceived Learning). The evaluated game is publicly available for use at:https://jeffersonwagner.github.io/detetive-code-smells/ The game's source code is available at:https://github.com/jeffersonwagner/detetive-code-smells This dataset was produced as part of the paper "Code Smells Detective - An Educational Digital Game for Supporting the Learning-Teaching Process in Code Smells," submitted to VEM 2026.