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The world of IT is evolving every day, and it is essential to learn about the latest industry trends and be relevant in your workplace. I am here to share my experience and learnings around RPA, Test Automation, UX, and DevOps that I have gained in the last two decades by working in both the product development and the IT services world!


A good test engineer is both methodical and creative. They understand how to put themselves in the customer's shoes and think about all the different ways a product could be used. They also have a keen eye for small details and know how to use various tools and technologies to their advantage. Here are seven skills that every good test engineer should possess. 👇👇👇

1. The ability to review requirements: A good test engineer knows how to review and analyze requirements. They also know how to identify gaps and inconsistencies. This skill is crucial because it ensures that the tested product meets all the requirements. Also, a test engineer identifying issues upfront will help identify defects earlier, reducing the cost of defect fixes. 🔍🔍🔍

2. The ability to think like a customer: Testers should know how to put themselves in the customer's shoes while designing and executing tests. They understand that customers can be unpredictable and think about all the different ways a product could be used. Generally, most test design techniques do not help identify out-of-box scenarios; this skill is essential to ensure that the tested product is user-friendly and meets the customer's needs. 💡💡💡

3. A strong understanding of the domain: A good test engineer understands the domain they are testing. This skill is vital because it helps ensure that all scenarios are considered and that no details are overlooked. For example, if you are testing a healthcare application, you need to know regulations like HIPAA, standards like HL7, patient workflows, etc. 🗂️🗂️🗂️

4. The ability to manage time: A tester should know how to manage their time effectively. This skill helps ensure that deadlines are met and that products are released on time. For example, a tester working in an Agile Sprint will get 15 or 20 days to design and execute tests. Therefore, it is important to identify all the test tasks upfront, estimate the effort, prioritize tasks, and track the effort spent. 🕛🕛🕛

5. The ability to manage emotions: A good test engineer knows how to manage their emotions effectively. This skill is vital because it helps them remain calm under pressure and not get overwhelmed by their work. For example, one may need to handle scenarios like developers not agreeing to defects raised, a project manager asking you why a defect was not identified, requesting you to skip some tests, etc. 😊😆😔😨

6. Strong written and verbal communication skills: A test engineer should focus on acquiring written and verbal communication skills. Written communication skills will help to prepare test cases and document results and defect reports effectively. Effective verbal communication skills will help to communicate with developers, managers, and business analysts in status meetings, defect triage meetings, walkthroughs, etc. ✍️✍️✍️

7. The ability to keep up with technology and tools: Testers must keep up with the new technology and tools to their advantage. Knowledge of the underlying technology and platform will help identify test types, understand the technology limitations of your application, etc. Also, acquiring skills in various tools will help the tester to be more productive. For example, developing skills around a test design tool will allow testers to design high-quality test cases faster. 🧰🧰🧰

We only discussed a few of the skills that are required to be a successful test engineer. A good number of these skills may come naturally; others must be learned through experience or formal training. However, having these skills will help you succeed in this rewarding career!

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A metrics framework is necessary for organizations that want to measure product and process quality. A good metrics framework allows a team to assess how its development work impacts quality, and it allows them to identify areas where they can improve the development process.

Before you set up a metrics program, you need to figure out which measurements will work best for your organization. This is a two-part process. First, you need to analyze your company's goals and objectives to identify which measurements will help you track your progress toward achieving them. Once you've done that, you can select the appropriate metrics for your organization.

Organizational goals can be divided into four categories: growth, profitability, efficiency, and compliance. Within these categories are sub-goals that you might want to measure. If one of your goals is to grow your business, you could track market share, customer acquisition, or revenue growth. To improve efficiency, you could track measures such as cycle time reduction or cost savings once you identify the types of measures that you want to track and develop metric targets that align with your organizational goals.

When setting goals, remember that not all goals will require the same type of measurement. You may find it better to set qualitative or subjective goals rather than quantitative ones. For example, if you want to improve customer satisfaction, you could survey customers rather than track specific metrics.

Defining the measures to be tracked helps you set specific target goals and track your progress towards attaining this goal. These targets should be described in SMART terms: Specific, Measurable, Achievable, Realistic, and Timely. This will help you to measure your success and make any necessary adjustments.

A metrics program can help you measure progress towards goals and objectives. The first step is determining which metrics will work best for your organization. This step requires a close analysis of your organizational goals and objectives. Once you've identified those goals, you can start defining appropriate metrics that will help you track your progress towards achieving them. One will need to keep these tips in mind as you develop your metrics program!

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Updated: Jun 13

Virtual reality is a technology that allows users to generate simulated environments and immersive experiences, providing them with direct interaction with 3D worlds. In addition to gaming, virtual reality has begun to be utilized in different domains by organizations. For example, retailers can offer their customers virtual fitting rooms and the ability to design tailor-made products. In addition, maintenance professionals can now use virtual reality headsets for remote access to valuable information about their work on the spot to understand potential fixes and defects. In this post, we discuss how virtual reality (VR) testing poses unique challenges and the potential solutions that can address them.

Machine-to-machine communications and virtual reality will be deeply integrated into the IoT. This should lead to significant growth in the market, which is expected to reach $16.8 billion in the United States by 2021. By that time, Statista predicts the VR/AR Market Share to increase drastically, surpassing $160 billion by 2023.

Top Challenges Associated with Virtual Reality Testing

  • Traditional testing practices, approaches, and toolsets are insufficient for validating virtual reality applications' end-user experience. As a result, the testing team and end-users must deal with additional challenges when testing these applications.

  • Virtual reality equipment can pose risks to the end-users vision and other aspects of their health. These risks can include eye strain, motion sickness, and skin irritation. For example, in the past, some virtual reality headsets had covers that caused skin irritation for some users. Therefore, testers must be aware of these safety issues when testing applications with virtual reality equipment.

  • Testing applications with virtual reality equipment because using it for prolonged periods can lead to health problems such as eye strain or nausea.

  • VR applications may behave differently on every type of device. There are currently few emulators available to test VR concepts on a variety of devices, so it is often necessary for testers to have access to actual devices or a lab with a range of devices if they want to test this new technology thoroughly.

  • Popular commercial and open-source test automation tools do not yet support virtual reality testing in their software packages. Manual testing is also time-consuming, so this presents an additional challenge for software testers when testing VR applications.

  • Virtual reality applications rely heavily on processing power, memory, and graphics capabilities, which can result in slowdowns and overheating.

  • Many virtual reality applications have accessibility issues that make it difficult for differently-abled users to enjoy the content.

Innovative Testing Approaches

To overcome the challenges of virtual reality (VR) application testing, one should define a comprehensive testing strategy, processes, and tooling strategy customized for VR application testing. Some of the critical testing considerations and solutions are highlighted below:

  • When defining a test strategy for your organization, consider the various functional and non-functional characteristics of current applications and those currently in development. The strategy should act as a general guideline for testing teams. However, each project should be assessed individually and customized based on product risk, impact, budget, and schedule.

  • Business analysts and testers should work closely to evaluate user stories or requirements. The team should also ensure that non-functional requirements related to software performance, accessibility, and the user experience are documented. Testers should review wireframes to provide early feedback and storyboard everyday life scenarios that will be the basis for end-to-end software testing.

  • Collaborate with developers to ensure that unit testing coverage is adequate. Most application development platforms, such as Unity, provide capabilities for automating unit tests and measuring the coverage. This is critical because these tests can gather early feedback on code quality, understand behavior on different platforms, and help to balance functional testing efforts later on. A high unit testing coverage will also help you balance functional testing efforts in the later stages of your project.

  • Invest in testing equipment that can help you validate compatibility and functional and non-functional behavior. The devices need to be shortlisted based on the devices used by end customers. Collect data from your testing sessions to help identify usability issues, body movements, etc. You might want to perform early testing if your application can be run on a desktop or laptop in 2D mode, which will help reduce fatigue for testers who must use the equipment in 3D mode.

  • Explore using platforms such as Air Test or Poco to automate manual testing efforts. These tools are Python-based and support Android, iOS, Cocos-Creator, Unity3D, Egret, etc.

  • Design a set of reusable test cases that will help to validate the usability and accessibility of your application based on industry standards. Consider using performance monitoring tools to analyze bottlenecks under various conditions; for example, the OVR Metrics tool can be used to collect performance data.

  • Consider using tools to monitor and analyze the performance bottlenecks of your applications under various conditions. Tools like the OVR Metrics tool, Unit Profiler, etc., can be leveraged to collect performance-related data. One should also focus on measuring performance across the various supported platforms and devices.

  • Crowd testing will help identify user experience-related issues and help improve the device-specific testing coverage. By partnering with a public crowd testing provider with access to VR headset testers, you may be able to accelerate and scale your testing. Additionally, you will be able to identify issues related to the user environment and conditions.

The Way Forward

In the next few years, virtual reality technology will be used to solve business problems. As the demand for these solutions grows, companies will develop new testing techniques and standards that will help improve the efficiency and effectiveness of virtual reality testing.

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