SUPPORTING THE DECISION-MAKING OF THE DESIGN THINKING TECHNIQUES SELECTION TO USE IN SOFTWARE DEVELOPMENT THROUGH A RECOMMENDATION SYSTEM
ALUNO: Rafael Baldiati Parizi
ORIENTADORA: Dra. Sabrina dos Santos Marczak
COORIENTADORA: Dra. Tayana Uchôa Conte
BANCA EXAMINADORA: Dra. Edna Dias Canedo (CIC/UnB), Dr. José Carlos
Maldonado (ICMC/USP), Dra. Monalessa Perini Barcellos (PPGI/UFES), Dra. Sheila
dos Santos Reinehr (PPGIA/PUCPR), Dr. Afonso Henrique Corrêa de Sales
(PPGCC/PUCRS)
DATA: 22 de março de 2023
LOCAL: Videoconferência
HORÁRIO: 14:00
Link para acessar a videoconferência:
Meeting ID: 945 5098 2336
Passcode: 563099
RESUMO:
Software companies have been using Design Thinking (DT) as a problem-solving approach to put the user at the
center of the development process, to understand and to develop solutions that meet the real users´ needs. DT
encourages empathy, team members and users collaboration, the composition of multidisciplinary teams, ideation of
multiple solutions and rapid evaluation of the proposed solutions. Literature on the Software Engineering field points
out that in addition to a mindset or a process, teams have perceived DT as a set of techniques to engage
participants, generate innovative ideas and have frequent contact between team and user. Therefore, selecting which
techniques to use is an essential but challenging activity. However, there is a lack of studies investigating how DT
practitioners make decisions for selecting which DT techniques to use as well as a lack of resources providing support
to decisions in software development. Thus, inspired by the Design Science Research methodology, this Doctoral
thesis brings a practical contribution by developing a collaborative recommendation system to support IT
professionals in the selection of DT techniques and as a theoretical contribution by modeling the decision-making of
DT practitioners behind the selection of DT techniques as well as the characterization of the use of DT in software
development. Finally, this thesis argues that the selection of DT techniques is context-based and that computational
resources contribute to the selection of DT techniques.
