IoT application testing features based on the modelling network

Popereshnyak, Svitlana; Suprun, Olha; Suprun, Oleh; Więckowski, Tadeusz

doi:10.1109/memstech.2018.8365717

Cited by 26 publications

(10 citation statements)

References 2 publications

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“…The authors discussed how this setup can be deployed in different scenarios. In [9] authors presented a framework for testing the internet of things applications. This test site can be setup in a manufacturing test environment where the internet of things based devices can be tested for manufacturing defects or validation of some functionality.…”

Section: B Review Of Existing Electronic Product Test Sitesmentioning

confidence: 99%

“…DAQ system [22], [29], [32] LabVIEW NI DAQ devices, GPIB interface, Oscilloscope, PIC microcontroller, transducer Motor control circuits DC motor driver [21] LabVIEW NI myRIO, DC motor driver Induction motor [17] LabVIEW Data acquisition (DAQ) and control Motor control [36] LabVIEW Camera, Arduino Internet of things-based products Internet of things [9], [23] LabVIEW / COTS Network switch, Oscilloscope. waveform generator Various circuits and products Printed circuit board (PCB) [5] LabVIEW PXI system, Bed of Nails (BoN) fixture Backplane [1] COTS COTS cable tester, connectors Cable assembly [33] LabVIEW NI DAQ The electronic control unit [42] LabVIEW CAN bus, Power supply GPIB based system [35] HP VEE Pro GPIB interface Microfluidic device [13] LabVIEW Camera and accessories Optical device [16] LabVIEW Data acquisition (DAQ) Power supply control [44] LabVIEW Power supply, digital multimeter, GPIB Underwater modem [11] LabVIEW Sensors, cables Thermal cycle for the unit under test [37] LabVIEW Environmental test chamber interface Temperature probe [8] COTS Analyzer, antenna Refrigerator [45] LabVIEW ATE, test jig, RS232, ADC, and sensors RF circuits and products Antenna [30] LabVIEW Arduino, Stepper motors, and drivers Antenna [6], [7] COTS Analyzer, cables RF circuit [26] LabVIEW NI PXI, Signal generator, RF current probe [38] LabVIEW Spectrum analyzer, Signal generator RF device [41] LabVIEW SPI, I2C, HPIB Software-defined radio [46] LabVIEW Signal generator, Spectrum analyzer, RS232, GPIB Wireless sensor network [18] LabVIEW Digital multimeter, Power supply, and GPIB A low-frequency signal processing system is developed by authors in [24] using LabVIEW and NI Elvis.…”

Section: B Review Of Existing Electronic Product Test Sitesmentioning

confidence: 99%

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A Novel Process to Setup Electronic Products Test Sites Based on Figure of Merit and Machine Learning

2021

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Consumer electronic manufacturing (CEM) companies maintain a range of electronic products that are designed and tested according to the type and end-user requirements. These electronic products go through a validation and verification test for proof of design and a manufacturing test for checking reliability, quality, and manufacturing defects. Testing is carried out using test sites, designed based on the electronic product type. Currently, there is no standard approach for setting up a test site for electronic products. In this research, two processes are presented, for setting up new test sites and optimization of existing test sites for consumer and other electronic products. The proposed processes include a voice of customer (VoC) interface, that is based on a unique dataset and through machine-learning technique automatically translate customer information into customer requirements, and a figure of merit (FoM) presented as an outcome of this research using several key test-related parameters. These proposed processes are an important step towards defining a standard approach for setting test sites for consumer and other electronic products. The processes are implemented using a software application developed in LabVIEW, which is linked to a database containing test data for around 400 products collected as part of this research and form a knowledge base for the proposed processes. Finally, the processes are validated by setting up a new experimental test site for an RF receiver and optimization of an existing test site of an antenna system.INDEX TERMS Consumer electronic manufacturing (CEM), electronic product test, figure-of-merit (FoM), LabVIEW, machine-learning, voice of customer (VoC).

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Section: B Review Of Existing Electronic Product Test Sitesmentioning

confidence: 99%

Section: B Review Of Existing Electronic Product Test Sitesmentioning

confidence: 99%

A Novel Process to Setup Electronic Products Test Sites Based on Figure of Merit and Machine Learning

2021

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“…Key aspects of CoAP are small message overhead thus limiting the use of fragmentation, simplicity for constrained environments including key web concepts such as URIs and contenttypes. This test suite can be used to test CoAP server implementations for security flaws and robustness problems Metamodel [21] A tool for analysis, construction, development of the frames, rules, constraints, models, and theories that is used for modeling Benchmark [24] [51] [66] A commercial testing tool to compare business processes and performance metrics to the best practices of other companies NS [58] [65] A discrete event simulator targeted at networking research to provide substantial support for simulation of TCP, routing, and multi cast protocols over wired and wireless networks TTCN-3 [25] Testing and Test Control Notation version 3 is a well-known testing language that used in conformance testing of communicating systems F-Interop [62] A compliance test tool for interoperability of implementation and to explore various testing schemes and configurations by interconnecting devices under tests with the server testing tools JUnit [26] A Java-based unit testing framework that been influential in the development of test-driven development…”

Section: Sentilo [56]mentioning

confidence: 99%

“…The following subsections provide a short description of how each quality aspect has been addressed. Performance [20], [23], [24], [30], [33][34][35][36][37][38], [40], [42], [43], [45][46][47][48], [50][51][52][53][54][55][56], [58], [60], [62], [64][65][66][67], [71][72][73] 34…”

Section: (Rq26 and Rq27) Mapping Addressed Quality Aspectsmentioning

confidence: 99%

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

Hamarash

2020

Int. J. Interact. Mob. Technol.

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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.

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“…The approach in [3] supports distributed and automated testing of IoT devices with test systems in remote locations for resolving the issues with scalability, cost and coordination of traditional software testing methods. A full-scale experiment on a fragment of an IoT communication network was done in [10] in order to select the best application protocol for an ideal IoT system. The validation of generated test patterns which are implemented by the framework of [11] was done on an application scenario in AAL domain.…”

Section: Related Workmentioning

confidence: 99%

Can Commercial Testing Automation Tools Work for IoT? A Case Study of Selenium and Node-Red

Varghese

Sinha

2020

IECON 2020 the 46th Annual Conference of the IEEE Industrial Electronics Society

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Background: Testing IoT software is challenging due to large scale, volume of data and heterogeneity. Testing automation is a much-needed feature in the domain. Aims: The first goal of this research is to explore the requirements and challenges of IoT testing automation. The second goal is to integrate testing automation tools used in commercial software into the IoT context. Method: A systematic literature review is carried out to elicit requirements for testing automation in IoT. A design science approach is followed to build a testing automation tool for IoT applications written in the Node-Red platform, using the commercial testing automation tool Selenium. The resulting framework uses the Selenium Web Driver for browser-based testing automation for IoT applications. Results: The proposed framework has been functionally tested on multiple browsers with preliminary evaluation on maintainability, browser capability and comprehensiveness. Conclusions: The use of commercial tools for testing automation in IoT is feasible. However, major challenges like high data volumes and parallel transmission and processing of data need to be addressed comprehensively for complete integration.

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IoT application testing features based on the modelling network

Cited by 26 publications

References 2 publications

A Novel Process to Setup Electronic Products Test Sites Based on Figure of Merit and Machine Learning

A Novel Process to Setup Electronic Products Test Sites Based on Figure of Merit and Machine Learning

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

Can Commercial Testing Automation Tools Work for IoT? A Case Study of Selenium and Node-Red

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