@PHDTHESIS{ 2023:1013025628,
 	title = {Supporting the decision-making of the design thinking techniques selection to use in software development through a recommendation system},
 	year = {2023},
 	url = "https://tede2.pucrs.br/tede2/handle/tede/10785",
 	abstract = "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 theoretical contributions 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.",
 	publisher = {Pontifícia Universidade Católica do Rio Grande do Sul},
 	scholl = {Programa de Pós-Graduação em Ciência da Computação},
 	note = {Escola Politécnica}
}