A Comprehensive View on Quality Characteristics of the IoT Solutions

Bureš, Miroslav; Bellekens, Xavier; Frajták, Karel; Ahmed, Bestoun S.

doi:10.1007/978-3-030-28925-6_6

Cited by 10 publications

(10 citation statements)

References 23 publications

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“…Apart from those found in the recent literature, we have also suggested metrics that were not yet mentioned in the recent works. In Section III-C we discuss the impact of the code quality metrics presented on the selected general characteristics of the system [49] as well as their relevance to the general layers of an IoT system, the levels of the source code , and the main development phases of an IoT project. Then, in section III-D, we discuss the relation of the presented metrics to code smells, as these two fields overlap.…”

Section: A Methodologymentioning

confidence: 99%

Selected Code-Quality Characteristics and Metrics for Internet of Things Systems

et al. 2022

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Software code is present on multiple levels within current Internet of Things (IoT) systems.The quality of this code impacts system reliability, safety, maintainability, and other quality aspects. In this paper, we provide a comprehensive overview of code quality-related metrics, specifically revised for the context of IoT systems. These metrics are divided into main code quality categories: Size, redundancy, complexity, coupling, unit test coverage and effectiveness, cohesion, code readability, security, and code heterogeneity. The metrics are then linked to selected general quality characteristics from the ISO/IEC 25010:2011 standard by their possible impact on the quality and reliability of an IoT system, the principal layer of the system, the code levels and the main phases of the projectto which they are relevant. This analysis is followed by a discussion of code smells and their relation to the presented metrics. The overview presented in the paper is the result of a thorough analysis and discussion of the author's team with the involvement of external subject-matter experts in which a defined decision algorithm was followed. The primary result of the paper is an overview of the metrics accompanied by applicability notes related to the quality characteristics, the system layer, the level of the code, and the phase of the IoT project.

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Section: A Methodologymentioning

confidence: 99%

Selected Code-Quality Characteristics and Metrics for Internet of Things Systems

et al. 2022

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“…Similar consolidation work on the quality characteristics of IoT systems was recently carried out [9] by the authors and was supplemented by another recent study by White et al Specifically, [40] studied and summarized the available literature focused on quality of services (QoS) in IoT systems. The study primarily focused on quality characteristics and the architectural perspective; however, it does not discuss particular quality metrics.…”

Section: Introductionmentioning

confidence: 91%

“…Functional Correctness. The alternative reliability metric describes an error rate of the system in the sense of functional defects affecting the system processes and the procedures handling the data stored in the system [9]:…”

Section: Quality Metrics To Evaluate An Iot System or Servicementioning

confidence: 99%

“…We understand the quality characteristic to be a general property of the SUT that can be used to carry the test planning, test strategy or test reporting; e.g., functional correctness, security, usability, or maintainability [9]. Differently to quality metrics, quality characteristics are usually not expressed by particular formulas that allow for the quantification of a measured property by a concrete number.…”

Section: Introductionmentioning

confidence: 99%

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Quality and Reliability Metrics for IoT Systems: A Consolidated View

Klima

Rechtberger

Bureš

et al. 2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Quality and reliability metrics play an important role in the evaluation of the state of a system during the development and testing phases, and serve as tools to optimize the testing process or to define the exit or acceptance criteria of the system. This study provides a consolidated view on the available quality and reliability metrics applicable to Internet of Things (IoT) systems, as no comprehensive study has provided such a view specific to these systems. The quality and reliability metrics categorized and discussed in this paper are divided into three categories: metrics assessing the quality of an IoT system or service, metrics for assessing the effectiveness of the testing process, and metrics that can be universally applied in both cases. In the discussion, recommendations of proper usage of discussed metrics in a testing process are then given.

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“…In [Andrade et al 2017], the authors discuss how we can benefit from the ubiquitous field of systems interaction evaluation to evaluate interaction with IoT applications, focusing on both systems' main differences and similarities. In [Bures et al 2020], the authors present a set of quality characteristics for IoT applications which specifically emphasizes the aspects of security, privacy, reliability, and usability.…”

Section: Related Workmentioning

confidence: 99%

Towards a Process for NFRs Evaluation in IoT Applications

Paiva

Carvalho

Andrade

2022

Anais Do XIV Simpósio Brasileiro De Computação Ubíqua E Pervasiva (SBCUP 2022)

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The Internet of Things (IoT) is a paradigm characterized by a variety of objects that interact with each other using the internet to achieve common goals. IoT applications are more and more present in our lives, either in our homes, or on the streets, or in our work environments. These applications bring new Non-Functional Requirements highly related to the user interaction quality, such as context-awareness, synchronicity, and calmness. The evaluation of these NFRs can be challenging, because we may have to take into account qualitative and quantitative aspects. In this way, the evaluators can be confused about the steps they need to follow and the best order to perform the NFRs evaluation. After conducting a systematic mapping study about the NFR evaluation in IoT applications, we could not find a process that systematizes these activities stepby-step. Therefore, this paper proposes a process for evaluating non-functional requirements in IoT applications. This process divides the quality evaluation into two aspects, qualitative and quantitative, to capture quality measurements and subjective aspects of the IoT applications. To verify whether the established process meets the evaluators' needs, we applied 2 questionnaires with the experts and, based on the obtained results, we made some adjustments and came up with a preliminary version of the process that is presented in this paper.

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A Comprehensive View on Quality Characteristics of the IoT Solutions

Cited by 10 publications

References 23 publications

Selected Code-Quality Characteristics and Metrics for Internet of Things Systems

Selected Code-Quality Characteristics and Metrics for Internet of Things Systems

Quality and Reliability Metrics for IoT Systems: A Consolidated View

Towards a Process for NFRs Evaluation in IoT Applications

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