Component-Driven Development in Modern Virtual Assistants: A Mapping Study

Abstract

Virtual assistants are becoming more common today as access to this technology has become cheaper and more affordable to the common consumer. As a result of this increase in demand, a component based software engineering approach may be more practical in the future development of these systems. This article presents a study of the current state of the research on component based software engineering and service principles in virtual assistants. The main motivation for this research is that there just is not any comparative study on how component-driven development might benefit our virtual assistants, especially those with voice interaction. This study is limited to papers that go into detail about the development of intelligent personal assistants and the entities that comprise them. Due to the nature of virtual assistants, we initially assumed that many of them would primarily be made of various software components. However, our results show that the development of virtual assistants is actually more complex than we initially believed, and that a more consolidated approach is necessary to define the best method of development for virtual assistants.

Secured Big Data Based on Ocular Recognition

“…Ocular recognition [2] could be a great tool for individual identification and authentication. Any technique is convenient based on its ease of use [3]. For example Android and Apple smart phones are unlocked by recognizing the finger print of the user and also used in banking applications [4].…”