Self-Adaptation in Mobile Apps: a Systematic Literature Study

Abstract

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Autonomously Improving Systems in Industry: A Systematic Literature Review

“…Several literature reviews have been performed within online/offline learning, Self-* systems and concept drift primarily but not specifically focused on industrial deployment [12,19,[24][25][26]. A significant amount of work goes into describing the techniques and algorithms in theory.…”

Integrating Adaptive Mechanisms into Mobile Applications Exploiting User Feedback

“…A suitable method to overcome these challenges is the integration of adaptation mechanisms and decision-making features in software systems [18], a research area undergoing intense study in mobile-based systems [7]. However, smartphones present additional challenges related to the management of personal and sensitive data, as well as the additional knowledge that can be extracted from this data [15].…”

“…From the software engineering viewpoint, mobile-based systems or mobile software ecosystems as defined by Grua et al [7] can induce adaptation mechanisms anywhere in the system. It is relevant to differentiate between adaptation at device level (e.g., mobile platform, device hardware) or at mobile application level (e.g., client app, back-end).…”

“…It is relevant to differentiate between adaptation at device level (e.g., mobile platform, device hardware) or at mobile application level (e.g., client app, back-end). With independence of where the adaptation takes place, one of the underlying goals of these approaches is to improve user satisfaction and the Quality of Service (QoS) delivered to these users [7].…”

A Reference Architecture for Personalized and Self-adaptive e-Health Apps

“…However, even if the interventions, prompts, and encouragements of current e-Health apps take context into account (e.g., previous interactions or geographical location of the user), they still tend to be rigid and not fully tailored to individual users, e.g., by using fixed rule sets or by not considering the unique traits and behavioral characteristics of the user. In this context, we see personalization [7] and self-adaptation [15,27] as effective instruments for getting users continuously engaged and active, eventually leading to better physical and mental conditions.…”