Software aging and architecture degradation are important areas in software quality assurance. Existing research in these areas has developed mitigation strategies for software aging, other researchers have analyzed strategies for identifying software aging. Regarding architectural degradation, current studies have designed techniques for reducing degradation. However, there appears to be a paucity of studies on the causes of software aging and architectural degradation. Insight into the causes of software aging and architectural degradation can provide a critical perspective and further strengthen the research endeavors on prevention techniques. Using recursive literature review (RLR) and Bootstrapping techniques, this research identifies and analyzes the causes of software aging and architecture degradation in software systems. We found that besides many other causes, architectural degradation is one of the key reasons that cause software aging and acts as a barrier to the sustainability of software architecture.
It has been around 20-25 years since the internet was first developed for public use, and since then the number of users has been increasing exponentially. In a recent report, there are around 313 million internet users, out of which 276.8 million are mobile internet users and internet penetration is 90.3% (Johnson, 2021). With the development of wireless telecommunication technology and mobile devices, use of the internet access has been increasing. From the first generation (1G) of cellular networks to the current 5th Generation (5G), there has been a huge improvement in the data rate, coverage, and security that made it possible to have the internet on mobile phones. The internet in mobile devices has existed since 2G and was used for checking emails and browsing the web (Yamauchi et al., 2005). It is important that users should accept new technology. In this study, acceptance, and usage of the 5G technology that was investigated in a survey of students from the engineering discipline of Gannon University. This work describes the usage of a statistical technique called the technology acceptance model to determine the engineering students perception of the degree to which the 5G technology is accepted and useful. It aims to answer the research questions of whether perceived usefulness and perceived ease of use a ect the actual usage of 5G technology among engineering students, as they tend to bend towards new technology because of the high involvement of technology in engineering studies. This work aims to answer, to what extent perceived usefulness and perceived ease of use determine the usage of 5G technology among the selected group of participants.
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