This thesis presents a study on the problem space in the context of development of technologies for Autism Spectrum Disorder s (ASD) therapists and it aims to contribute to the design of technologies in this area. Although there is a large number of technologies to the audience with ASD, such technologies usually allow a limited use, given the extent of the Autism Spectrum and the variety of disorders that people with ASD diagnosis can have. Thus, it is essential to develop more flexible technologies that meet the needs of each individual with ASD. Moreover, the literature presents specific reports (of success or failure) about the developed technologies, but there is no organization of the domain. Therefore, we consider that there is a gap regarding the problem characterization in this area, and it is important to explore the problem space before proposing new solutions. There are several challenges related to the adoption of technologies for generating adaptable software by ASD therapists, such as the lack or little knowledge of the therapists about this kind of technology, the limited time for learning and using these technologies and even the lack of interest. We conducted studies in order to explore the problem space in the context of the End User Development (EUD) and to raise the main meanings, questions and difficulties of the therapists related to adaptable and/or extensible technologies and they showed us that the use of the design probes concept was essential for the approximation of the therapists with such technology type and a deepening understanding of their own difficulties and needs, and the challenges placed in this context. Moreover, these studies have allowed us to raise a set of possible changes and adaptations that a technology targeted for this audience could do in order to address the needs of therapists and their patients. From this achieved set, we have analyzed these possible changes based on the Semiotic Engineering theory for EUD context and we have investigated how existing technologies enable or not these kinds of changes. Thus, this research has enabled us to identify the ASD domain as an EUD application area with several challenges, to analyze them in greater depth and to identify possible ways to overcome them, contributing to the design of technologies for the ASD audience.