Abstract. In software projects, agile methodologies are based in small development cycles and in continuous communication with customers with low needs on modeling formalism for requirements elicitation and documentation. However, there are projects whose context requires formal modeling and documentation of requirements in order to raise and manage critical issues from the very beginning of the project, like architectural diagrams. This work presents an approach for deriving a list of User Stories using a logical architectural diagram as input. Derived User Stories are then delivered to multiple Scrum teams.

Breast cancer is the most prevalent cancer in the world and the fifth-leading cause of cancer-related death. Treatment is effective in the early stages. Thus, a need to screen considerable portions of the population is crucial. When the screening procedure uncovers a suspect lesion, a biopsy is performed to assess its potential for malignancy. This procedure is usually performed using real-time Ultrasound (US) imaging. This work proposes a visualization system for US breast biopsy. It consists of an application running on AR glasses that interact with a computer application. The AR glasses track the position of QR codes mounted on an US probe and a biopsy needle. US images are shown in the user’s field of view with enhanced lesion visualization and needle trajectory. To validate the system, latency of the transmission of US images was evaluated. Usability assessment compared our proposed prototype with a traditional approach with different users. It showed that needle alignment was more precise, with 92.67 ± 2.32° in our prototype versus 89.99 ± 37.49° in a traditional system. The users also reached the lesion more accurately. Overall, the proposed solution presents promising results, and the use of AR glasses as a tracking and visualization device exhibited good performance.

The development of electronic commerce in the last years results in a new type of trade which the traditional legal systems are not ready to deal with. Moreover, the number of consumer claims increased mainly due to the increase in B2C relations and many of these are not getting a satisfactory response. Having this in mind, together with the slowness of the judicial system and the cost/beneficial relation in legal procedures, there is the need for new suited and effective approaches. In this paper we use Information Technologies and Artificial Intelligence to point out to an alternative way of solving these conflicts online. The work described in this paper results in a consumer advice system aimed at fastening and making easier the conflict resolution process, both for consumers and for legal experts.

Buying products online results in a new type of trade which the traditional legal systems are not ready to deal with. Besides that, the increase in B2C relations led to a growing number of consumer claims and many of these are not getting a satisfactory response. New approaches that do not include traditional litigation are needed, having in consideration not only the slowness of the judicial system, but also the cost/beneficial relation in legal procedures. This paper points out to an alternative way of solving these conflicts online, using Information Technologies and Artificial Intelligence methodologies. The work here presented results in a consumer advice system, which fastens and makes easier the conflict resolution process both for consumers and for legal experts.

Electronic contracting, mostly through software agents, led to an impressive growth in electronic transactions, but also in the number of disputes arising out of these transactions. Paper-based courts are however unable to efficiently deal with this increase in disputes. On the other hand, current Online Dispute Resolution methodologies are impersonal and cold, leaving aside important information such as the disputants' body language and emotions. In that sense, in this paper we propose the creation of environments for dispute resolution that can complement the existing tools with important context information. This, we believe, will lead to dispute resolution tools that will more efficiently achieve mutually satisfactory outcomes.