COMBINING SOFTWARE DEVELOPMENT AND ACTIVE LEARNING TO FORM HIGHPERFORMANCE SOFTWARE DEVELOPMENT TEAMS
DEFESA DE PROPOSTA DE TESE – Programa de Pós-Graduação em Ciência da Computação
COMBINING SOFTWARE DEVELOPMENT AND ACTIVE LEARNING TO FORM HIGHPERFORMANCE SOFTWARE DEVELOPMENT TEAMS
ALUNO: Nicolas Pereira do Nascimento
ORIENTADOR: Dr. Afonso Henrique Corrêa de Sales
BANCA EXAMINADORA: Dra. Sheila dos Santos Reinehr (PPGIA/PUCPR), Dra.
Sabrina dos Santos Marczak (PPGCC/PUCRS)
DATA: 09 de agosto de 2022
LOCAL: Videoconferência
HORÁRIO: 14:00
RESUMO:
The software industry is immersed in an environment of great uncertainty, high volatility and constant change. This scenario has shaped the industry, its components and actors, generating methodologies that are able to cope both with market expectations and software development requirements. Among these methodologies, agile is the one which has been adopted the most – as it provides teams with an overarching set of practices to handle software development project requirements while maintaining flexibility to incorporate changes that business presents. Professionals that possess the necessary skills to work in these agile teams are challenging for universities to train. A teaching methodology which has been demonstrating positive outcomes is active learning, as it centers the students in the process, enhances motivation and provides a collaborative and cooperative approach for learning. However, the quest of training high-performance teams, ones that are able to
communicate effectively, to coordinate their actions, to be cohesive in their interactions and approaches among other characteristics, is still an open research opportunity. In this context, this work aims at studying high-performance software development teams and proposing an effective framework to train students in active learning environments to achieve high-performance. To achieve this goal, we will conduct a two-phase research: (i) exploratory – where we will assess what is the literature state-of-the-art, crossing these concepts with empirical evidence – and (ii) propositive – where we will propose, assess and improve a framework to be used when training high-performance teams in active learning environments. Our preliminary results, from Phase I, indicate that high-performance software teams exhibit excellent known characteristics: communication, cohesion, collaboration, coordination, among others. These results helped us proposing the initial version of our framework, which still needs to be assessed and improved.
