Today’s society is increasingly dependent on the use of mobile or smart devices (e.g. smartphones, tablets, hybrid devices, smart-TVs, smart-watches, among others), which have changed over these last 10 years the way people perform their daily tasks. In parallel, Internet of Things (IoT) systems have played a prominent position in this scenario, since they enable to exchange information among different types of devices and services (e.g. physical devices, vehicles, home appliances, sensors, among others). This scenario has boosted the demand for development of high-quality Mobile Applications (MobApps), which can be pre-installed on such devices during manufacturing platforms, or delivered as applications by the mobile stores or third parties. According to [1–3], mobile devices have some physical limitations (e.g. processing and storage) compared to personal computers. Thus, service-oriented MobApps have been a feasible alternative to overcome such limitations, improving the efficiency of the development life cycle of these applications with adoption of third-party components (e.g. software components, web services, and other mobile applications). In another perspective, it is also been noted a change in the user behavior of MobApps, which demand applications capable of operating in adverse conditions, maintaining their integrity of execution. Considering the relevance of such applications, this paper reports the extension of a framework to support the development of Self-adaptive Services-oriented MobApps (Self-MobApps), which enables modification of services at runtime [4] by means of a deployment dynamic approach. To show the feasibility of our framework, a case study for a smart restaurant was conducted in a mobile environment. The results of this study enable us to create a positive perspective on the contribution of our framework to the research communities involved.

Self‐adaptive service‐oriented Applications (Self‐Apps) must be able to understand themselves or the environment in which they are executed, and propose solutions to meet changing conditions. The development of these applications is not a trivial task, since it encompasses issues from different research areas. Despite the importance of frameworks for Self‐Apps, there is a lack of comprehensive analysis of how the design of such applications is performed, and regarding the standardization of concepts and coverage of minimum requirements for Self‐Apps. The main contribution of this article is to present this comprehensive analysis, providing the state of the art for this subject. This analysis was built through a Systematic Mapping Study, based on a total of 65 studies, from which we identify the main attributes for Quality of Service (QoS), search strategies, and service management strategies employed in the design of frameworks for Self‐Apps. The main aspects of requirements involved in the design of Self‐Apps were pointed out to stakeholders. For example, these applications must implement a method for evaluation of QoS based on metrics. We also put forward the S‐Frame, a modular solution that brings together the main features for the design of Self‐Apps, and describe the main challenges concerning these applications.

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Today's society is increasingly dependent on the use of mobile devices, which have changed over these last 10 years the way people perform their daily tasks. This can certainly be one of the factors that has boosted the demand for development of highquality Mobile Applications (MobApps). In short, to improve the efficiency of the development life cycle, these applications often use third-party components (e.g., software components, web services, and other mobile applications). Service-oriented MobApps have been a feasible alternative to overcome hardware limitations of these devices to increase the processing and storage capacity. In another perspective, it is also noted a change in the behavior of users of MobApps and their needs, which require applications capable of modifying their structure and/or behavior at runtime. Thus, this paper presents a framework to support the development of Self-adaptive Services-oriented MobApps (Self-MobApps), which enable adaptation of services at runtime. To show the feasibility of our framework, a case study for a smart restaurant was conducted. The results of this study enable us to create a positive perspective on the contribution of our framework to the research communities involved.