Modern software companies prioritize high-quality products for competitiveness, and Software Process Improvement (SPI) models help achieve this. In Brazil, the Brazilian Software Process Improvement Model (MPS-SW model) is widely used, but its complexity and extensive documentation make it challenging to teach in undergraduate courses. To address the lack of students engagement to learn SPI, we developed the MPS Manager, a serious game that incorporates gamification to facilitate learning about the MPS-SW model. The game was evaluated in four Software Engineering courses across three universities with 83 students. Using the Model for the Evaluation of Educational GAmes (MEEGA+) method, students assessed the game across dimensions such as usability, confidence, and learning, with 55% overall agreement. Further analysis explored correlations between satisfaction and factors like gender, gaming experience, and course format (i.e., virtual or in-person). Feedback from students highlighted the need for improved engagement, social interaction, and reduced gameplay monotony, which will guide future game enhancements.
Nowadays, few professionals understand the techniques and testing criteria to systematize the software testing activity in the software industry. Towards shedding some light on such problems and promoting software testing, professors in the area have established Massive Open Online Courses as educational initiatives. However, the main limitation is the professor’s lack of supervision of students. A conversation agent called TOB-STT has been defined in trying to avoid the problem. A previous study introduced TOB-STT; however, it did not analyze its efficacy. This article addresses a controlled experiment that analyzed its efficacy and revealed it was not expressive in its current version. Therefore, we conducted an in-depth analysis to find what caused this result and provided a detailed discussion. The findings contribute to the TOB-STT since the experimental results show that improvements need to be made in the conversational agent before we use it in Massive Open Online Courses.