The software testing industry has been leaning heavily on test automation for years now. But, how critical is automated testing within relatively new domains such as the Internet of Things?IoT devices, since 2013 have proliferated to a great extent including edge devices and gateways. They are projected to increase to about 50 billion units by the year 2020, pushing QA and testing teams in software development companies to start revamping their testing strategies to fit into the IoT.
The context in which the IoT functions requires a distinctive approach when it comes to testing strategies and methods. As nowadays, IoT testing plays a very crucial role as it opens the door for new business opportunities and helps companies benefit from new revenue streams, improved analytics, and reduction in human intervention, effort and manual labor.Automation has developed as the most significant component of IoT and most testing methods are being developed to make the best of it. Software development companies have stepped up the rate at which they deliver software services along with the improvements and fixes, hence the need for automation testing turns out to be significantly more critical.Why is Test Automation Considered to be at the Heart of IoT?By 2019, around 66% of customers intend to buy connected technology for their homes. As the demand for connected devices & applications surges, the need of the hour is to build effective, robust apps quickly.Automation testing develops as a helpful process in this scenario. Automation testing stands out among the most flexible and lightweight approaches to IoT application development.Test automation contains a family of agile methodologies where the key principles are communication, integrity, teamwork as well as thinking to constantly adjust and enhance the process.The developers need to roll out improvements on the existing application or interface the new application to an existing application where automation testing proves to be very important. It ensures that:.
The IoT application is multi-user and can be deployed in a dispersed environment. The active application has a good response time. Proper data validation occurs throughout the application. The application can be expanded through the internet or locally.
Real-time data accuracy. Access control through encryption-decryptionLet’s go through the Top 3 Benefits of IoT Testing:.
IOT or internet of things is a technology that deals with bringing control of physical devices over the internet. Here we propose efficient industry automation system that allows user to efficiently control industry appliances/machines over the internet. There is no shortage of possibilities for smart home IoT devices, and home automation seems to be the wave of the future. Below, we've compiled a detailed guide on how the IoT and house automation.
Future-perspective about the Business: IoT Testing provides a combined approach to validate the functional and non-functional requirements of the IoT solutions. It likewise modernizes the business by assuring compatibility, performance and security testing. Better Engagement: IoT Testing ensures that end users get top-class user experience across multiple channels (device, web, mobile). Speedy Time-to-Market: IoT Testing assures speedy time-to-market by leveraging early automation.Major Challenges in IoT Testing:. The growing number of applications that are being developed continuously extends to the IoT ecosystem.
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Kaa delivers an essential toolkit for the Industrial Internet of ThingsFuture of industrial IoT (IIoT)The Industrial IoT represents a variety of IoT applications, smart product design principles, and data-driven automationpractices in the industrial sector of economy. The Industrial IoT can shield industrial systems from downtime by detecting the earliest signs of malfunction andpreventing their aggravation.Installing IoT sensors into industrial systems allows operators to know what’s going on with the equipment in nearreal-time, and with high accuracy. Connected through Kaa, these sensors provide you with an in-detail reporting over theequipment status, performance, security, and so on.Conducting regular equipment health check-ups gets easier too, since a big chunk of work can be done remotely and withgreater accuracy.When we can predict problems we can prevent systems going down. With the IoT, every single machine can be transparent toyour eye.
Performance and device health data monitoring. Predictive maintenance. Remote troubleshooting.
Smart alerts and notifications. Perimeter security and access controls. The field operations are the ones to experience most dramatic quality impact from embracing IoT. The telemetry datacollected from equipment is a rich source of actionable information from technicians. Based on the analysis of thistelemetry data the field ops may make an informed decision whether a piece of equipment requires any service. That is amajor improvement over the old modus operandi with massive overservice and excessive truck rolls.Even for the cases when the service is actually required, the efficiency is largely improved by more precise and expeditefailure root cause analysis powered by sensor data and the electronic service history record.
That results in a bettercustomer service, satisfaction, and loyalty.However, with IoT you no longer even have to wait for failure to occur. In many cases proper analysis of data feedscoming from the equipment can lead to indications of possible future malfunction, and proper preemptive maintenanceactions can remedy the incident even before it happens.
Remote monitoring and troubleshooting. Predictive maintenance. Continuous product improvement throughidentification of weak spots and typical usage scenarios. Data-driven warranty extension and claimvalidation. OTA updates, A / B testing of different devicesoftware. According to the, optimizing asset utilization ranked the top reason to adopt IIoT technology, with 79% ofrespondents citing “extremely important” or “very important” for near-term adoption.By enabling cloud capabilities for your equipment with Kaa, you can monitor and control your workflows in a remote manneras well as set up automation rules to optimize your assets utilization. You can also take advantage of comprehensiveperformance analytics to introduce timely adjustments to your production routines and use historical data to optimizeplanning.Additional cost savings can come from better energy practices, managing the energy usage for peak, off-peak, and zeroservice periods.
Programmable automation for different kinds ofindustrial equipment. Factory-wide performance analytics. Device management via digital twins.
Smart lighting and smart metering. Smart factory is the ultimate goal of Industrial IoT transformation in the domain of manufacturing but achieving it willrequire strategic adoption of several other keystone technology trends. One of them is an intelligent edge.
It is adecentralized networking within the Industrial IoT ecosystem, in which edge devices perform their part of data processingworkloads before transmitting results to the cloud. Such network topology allows for more sophisticated IoT workflowswithin limited network resources, ensures that your devices can operate without interruption if getting offline, andreduces latency for critical operations.Another essential technology bundle for smart factory is AI and machine learning. The most popular modern AI applicationsinclude voice and image recognition, robotic process automation, quality control, and autonomous robots. As they gain moretraction, AI algorithms will let industrial systems continuously improve their operations and find new ways forcost-efficient autonomy.
AI is also expected to lift off the burden programming and configuring f millions of devices inthe field from our shoulders, in this way accelerating further growth of Industrial IoT and smart factory innovations. Applications for intelligent edge.
Machine learning and AI applications. Robotic process automation. Smart factory system integration.