Model-Based Quality Assessment of Internet of Things Software Applications: A Systematic Mapping Study

Abstract

The Internet of things (IoT) is growing at a fast pace owing to its vast applications in varied fields such as medicine, society, economy, and even the military. This growth cannot continue without establishing high quality. Over the past decade, interest in research for the quality assurance of IoT has gradually grown. However, the discipline is still evolving, and further research is required to investigate the various quality-related aspects. Although assessing the entire system is impractical, to assure the quality of IoT applications, various assessment levels are required. A well-known and established approach to mitigate this difficulty is to model the entire system or a few parts of it for the sake of assessment, which is known as model-based testing. To determine what has been achieved thus far and what is lacking in this direction, this paper presents an extensive study on the use of the model-based approach to assure the quality of IoT applications. The study systematically reviews papers published from 2009 (early publications on IoT) to 2019 that reported the explicit use of models to assess the quality aspects of IoT applications. As a result of an extensive search process, the paper presents the results of scanning and reviewing 390 published papers. Thus far, out of these, 54 studies used the model-based approach to assess at least one quality aspect of an IoT application. In addition to the several relevant research questions that have been addressed in this study, this paper also presents several new insights and approaches for future research.

Structure Learning of Bayesian Network Using Swarm Intelligent Algorithm A Review

“…In the former, the network topology determination involves identifying the topologically suitable sample sets. The details of the network topology are needed to establish the network parameters (Kh., 2020). Bayesian learning also involves access to network topology and data, making it the foundation of Bayesian network growth.…”

MODEL-Based Performance Quality Assessment for IoT Applications

“…The quality characteristics were defined based on a set of standards such as ISO/IEC 9126 [6]. The International Organization for Standardization (ISO) illustrates these standards to discuss the quality aspects of the software as a quality model [20]. For the IoT system, the quality is the degree to which the system satisfies the stated and implied needs of its various users [21].…”

“…There are four approaches that can be used to test the quality of software application; Model-Based Testing (MBT), mathematical model, testbed and prototype [20]. As shown in Figure 2, many different steps are required to test the software application, starting with the test plane, designing a model test, running the test, and analyzing the results.…”

Enhancing Breast Cancer Detection with Ensemble Machine Learning Models

“…Machine learning [13,15,16,17], bio-inspired computation approaches [17,18,19,20,21,22,23], deep learning [24], and other diverse techniques have recently found use in the field of medical prediction. Despite the validation of a variety of strategies, none have consistently produced exact and trustworthy results.…”