With the growing complexity of design technology and the emergence of intelligent design assistance, architectural studio classes are facing a new pedagogical paradigm. The digital literacy of younger generations and availability of scientific simulation have the potential to transform the traditional master–apprentice model. In our experiment, we had students perform a museum layout task and observed their behaviors from three perspectives: (1) how students utilize an assistance tool and whether we can group their behavior, (2) how the new simulation-aided design process is different from a traditional one, particularly in terms of the evolution of solution over iteration, and (3) whether students' behavior is affected by the type of design problem given. Protocol analysis on design processes and interviews revealed that individual’s characteristic design processes in terms of iteration ranged from distinct iterations guided by simulation to monotonous progress with little simulation. When comparing between an instructor and software, it was not the given environment but the designer’s subjectivity that determined their attitudes toward either type of feedback. Lastly, the challenge of integrating design concepts with performance requirements stemmed from a misalignment between their true evaluative measures. We propose that a versatile design platform implement real-time, non-intrusive mechanisms for performance reporting and solution branching, and include social and psychological measures as well as physical ones in order to expand designers’ concept choices.
This chapter approaches paramount aspects related to test automation, introducing the importance of implementation in the software market and essential bases, such as adjustment to the organizational reality and establishment of an efficient strategy. Types of tools and directives for a successful implantation are presented. Test automation has been considered the main measure taken to enhance test efficiency — fundamental in the software-development process. Responsible for verifying and/or validating the quality of the executable product compared to performed documentation and client requirements. Therefore, with the chapter content here provided, we aim to provide the reader with an understanding of test automation and grant relevant orientations to assist implementing it.
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