نشریه آرمان پردازش
سال دوم شماره 1 (بهار 1400)

Investigating the quality management dimensions and related requirements of software architecture is one of the most important factors for the success of today's software in the commercial market. This process is associated with fundamental challenges that hinder the development of solutions. Underestimating the extraction of qualitative dimensions of software may cause very costly problems in the final stages of development and cause the analyst to face many problems and obstacles, in this regard. These problems that underlie the present study can be caused by many factors that can be avoided during the process of extracting the quality requirements. The ability of engineering process requirements in the system, such as methods and tools, to deal with changes are very important factors. In today's complex systems, due to the existence of very large data, communication and flow between them and the Internet of Things, very large systems have been provided that according to the scale of these software systems, validation is one of the final requirements to confirm these quality requirements. . In this study, we have examined the dimensions of software quality management from the perspective of stakeholders and developers, the validation of quality requirements and also how to use the quality dimensions in the software systems due to its great importance in this field.

Cloud computing is the evolution of information technology and a dominant business model for providing IT resources. Using cloud computing, individuals and organizations can gain access to the requested network through a shared set of managed and scalable IT resources such as servers, storage space, and applications. Recently, academics have paid close attention to cloud computing. There are basically three basic models of cloud computing services: infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). In terms of storage and resource collection, there are clear differences between them. There are three models and what they can offer to a business, but they can also interact with each other to form a comprehensive model of cloud computing. Performance isolation is a major challenge in providing cloud services and performance management is essential to achieving quality goals in the cloud. Although many studies have examined this issue, there is a lack of analysis on the dimensions, challenges and opportunities of management. This study examines the dimensions and functions of performance isolation in basic cloud services. At the end of the research, some recommendations have been described, for more effective use of this feature in cloud computing environments.

Eye tracking technology records the location, duration and sequence of people’s visual fixations when they inspect a given scene. In this way, it elucidates what people pay attention to when they look at sources of information. The present paper investigates some practical implications of this technology for attentional training in applied sport psychology. Following a brief overview of eye movements, the article describes three popular types of eye trackers in sport psychology fixed, mobile, and head-mounted systems. Then, it examines some recent eye tracking research on improving athletes’ gaze behavior and skilled performance. After that, it summarize the practical implications of these studies for attentional training in applied sport psychology. The article concludes by exploring how eye tracking technology can augment cognitive training in sport.