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The need for faster time to market and superior quality is getting intense in the software development process. Organizations are reaping the benefits of the DevOps approach and are incorporating the rules within every aspect of software testing. This article provides insights into the concept of DevOps and how we at Q-Pros adapted the role of quality assurance into more dynamic and collaborative activities to best fit the DevOps team structure. The main objectives of adopting DevOps are to make the testing and development process more collaborative, ensure Software Quality Testing, and help launch applications faster to the market. New-age applications need real-time changes and updates to meet the growing demands of the end-users. That requires continuous development, continuous testing, and continuous delivery/deployment. The DevOps approach enables teams to constantly upgrade and deliver. Every enterprise and its style of working differs. The way they would adopt DevOps will be different too. Digital transformation and the need to be always available for end-users with the latest updates are transforming the way enterprises adopt new practices and methodologies. Every enterprise must evolve sustainably, so quality is at the core of every practice, including DevOps. In a DevOps scenario, QA integrates into the testing and development process and takes the collaborative approach, and both testing and development teams are responsible for it. In the traditional method, QA creeps in toward the end, whereas in DevOps, it comes in at every level. As for code development, the QA team pushes the new development code into production, and DevOps facilitates to ensure a seamless deployment of infrastructure and tools. Thus, it helps in releasing a code consistently. The responsibility to ensure quality is not only limited to closing bugs but covers the entire production process. Web mobile applications such as electronic services, e-commerce, or financial services applications need to be updated frequently. It is a fundamental business requirement. DevOps helps make this possible, but with QA involved, the quality of the release is guaranteed. The reality check can happen in real time rather than taking the code offline and testing it. Overall, the popularity of DevOps over the years has intertwined quality into every engineer’s responsibility. DevOps helps in addressing the needs of the market and ensures that end-users do not suffer. QA further enables and directs teams to check the application for performance and quality before it is up for delivery. The role of QA in the current software development process is changing, where the end-user comes into focus, and their needs are brought into perspective while delivering the application. Releasing new and functional updates at any point through the application’s life cycle can become a disaster if the quality is not ensured constantly. Automation of tests plays a critical role in guaranteeing quality and bringing speed to the release process. Building a QA strategy with the necessary best practices is essential for organizations embracing the DevOps movement. Establishing a solid QA strategy will help deliver effective software development and operations to achieve user experience. DevOps practices are adopted to improve the regularity of the releases and reduce defects. It is a methodology that boosts rapid, short, iterative development and deployment of applications. So, the goal of incorporating QA is to ensure continuous improvement in the delivery process. DevOps allows digital enterprises to meet the needs of the competition and enable overall business growth. As a result, enterprises can streamline and pace up the delivery of applications with changes and innovation. The disconnect between QA and DevOps often occurs due to misconceptions about the role of quality assurance in the modern software development life cycle. Even as continuous integration servers and continuous delivery practices check your code for errors, they do not ensure its quality when you define quality from your end user’s perspective rather than your code’s: “Quality is fitness for your end-user purpose.” We at Quality Professionals have implemented a criterion to verify the quality of the build and ensure no bugs get pushed to production: Code Review Test Automation Deploy to Staging Comprehensive QA Checklist Our test engineers have experience working on team collaboration platforms such as Azure DevOps, JIRA, and HP ALM, Leveraging the integration with market-leading DevOps Automation Tools. Q-Pros provides efficient testing services to clients on a global scale. We strive to deliver remarkable outcomes that guarantee error-free applications. Learn more about us and request a custom-made testing service through our online service form. ...

The term “Internet of Things (IoT)” was first used in the early 21st century when a team of engineers discovered how to link objects to the internet through an RFID tag (Radio-frequency identification). The term IoT has stuck around ever since. Today, we are living in a world where there are more IoT-connected devices than humans. These IoT-connected devices and machines range from wearables like smartwatches to RFID inventory tracking chips. IoT connected devices communicate via networks or cloud-based platforms connected to the Internet. The real-time insights gleaned from this IoT collected data to fuel digital transformation. The Internet of Things promises many positive changes for health and safety, business operations, industrial performance, and global environmental and humanitarian issues. This article provides insights into the concept of IoT and how we at Q-Pros verify and validate implementations of such a trending technology through applying specific types of functional and non-functional testing. What is IoT and Why is it Important? We have seen IoT applications growing tremendously across many critical business cases, which as a result, has made IoT testing essential to ensure quality is maintained to increase end-users’ adoption and satisfaction. [embedyt] https://www.youtube.com/watch?v=6mBO2vqLv38[/embedyt] With IoT around, there will be challenges and changes that the QA industry will have to adjust accordingly; it will have to focus more on user-centric testing and prevent bugs at the design stage. Software testing engineers will need to develop new skills and knowledge in embedded systems testing and build an effective strategy for IoT software testing. An effective testing strategy will include: Measure the quality of testing. Review testing toolset considering user feedback. Remote testing and debugging. Analyze test results and effectiveness. Automation testing through codes to preserve quality standards at each stage. Test analytics. Data generator tool. And an effective data testing management tool as well. Types of Testing To verify and validate IoT testing applications, the test engineers need to ensure the following types of testing are planned, designed, and executed to ensure full quality coverage: Functionality Access control Identity roles management Mobile and web applications Functional business requirements Connectivity Verify the device behavior in unstable networks Data restore when there is no connectivity or power loss Usability Ease of use UI Testing UX Testing Compatibility Validating all possible working combinations of devices, operating systems and protocols. Verifying the behavior of the developed hardware/software with the older versions of the hardware/software. Verifying the behavior of the developed hardware/software with the newer versions of the hardware/software Verifying the developed hardware/software performance after adding new update/feature or after a rollback in case of a failure. Security User authentication Device authentication Data protection Data encryption Performance Device-to-device communication Server-to-server communication Device to- server communication Network performance Automated Testing The Internet of Things Solutions World Congress (IoTSWC) 2018 predicts a slow simplification of communication protocol standards in IoT development. That means automated testing will most surly fully enter this industry. For now, testing applications connected to the network often results in sleepless nights. Since we cannot approach all IoT devices by automation, the use of automated tests for IoT is always a matter of a specific device. The simulators might help to render the network of IoT nodes and deliver a range of benefits for IoT product release: Accelerated testing is one of the top features Automation can bring to IoT Quality Assurance. It removes resource limits and provides cross-device/browser testing possibilities. Test Coverage. Since automated tests are cost-effective, QA would be able to cover a broader range of app versions and desktop & mobile devices, detecting defects even in the preliminary stages. Automated Test Cases can offer a higher code coverage with the possibility of covering complex scenarios daily. Automated testing might ensure the IoT testing app is multi-user and can be deployed in a dispersed environment. As IoT is an emerging technology in 2019, the role of automated Quality Assurance (QA) is one of the ways to accelerate product delivery and raise the competitive edge of the industry. To learn more about how we leverage AI in software testing and take advantage of modern solutions to level-up your applications you can request a uniquely designed testing service through our online request form. ...