Abstract

Ambient intelligence is one of the most exciting fields of application for pervasive, wireless, and embedded computing. However, the design and implementation of real-world systems must be conducted utilizing software engineering approaches. Some types of environments (hospitals, older adults homes, emergency scenarios, etc.) are particularly critical, especially in terms of the issues concerning expressing requirements, verifying and validating them, or ensuring functional correctness. To provide adequate ambient intelligence solutions, it is necessary to place special emphasis on obtaining, specifying, and documenting software requirements. To address this issue, our paper presents a model that integrates both requirements and design patterns. This is done through a natural language processing application in conjunction with other artificial intelligence algorithms. This work aims to support designers when analyzing text requirements and support design decisions. Our results were evaluated according to the cross-validated accuracy of predicting design patterns. The results obtained indicate that this approach could lead to good recommendations of design patterns, as it demonstrated an acceptable classification performance over the balanced dataset of requirements instances.

Highlights

  • Ambient intelligence (AmI) is the integration of ubiquitous computing, ubiquitous communications, and the application of user interfaces (UIs)

  • We briefly present a selection of works that focus on integrating both requirements and design patterns

  • While we show prediction accuracy in the context of UI design, it is possible to extend our framework through a greater variety of requirements and design patterns

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Summary

Introduction

Ambient intelligence (AmI) is the integration of ubiquitous computing, ubiquitous communications, and the application of user interfaces (UIs). The objective of AmI is to design and implement new systems that provide intelligent, personalized, and connected services [1]. One of the main components of an ambient intelligence platform is the way it relates to humans, and vice versa. To achieve this relationship, AmI can aim for this interaction to be performed in a non-intrusive way, minimizing explicit interaction. In situations in which explicit interactions are required, there is a need to design a set of physical interactions that include environment and communication, among other characteristics. For the set of interactions to be designed, we need to apply interaction design techniques

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