software testing

Globalization testing and localization testing are two types of tests that are incredibly important in software testing. It is vital for business owners to have their applications suited specifically for a desired market or market. And it is our role at Q-Pros as a leading testing provider to ensure that for our clients. In this article, we will investigate the differences between the two and why we perform these forms of tests. What is Globalization Testing? A type of software testing that is performed to ensure that an application is compliant with global standards and is available in multiple languages while including several features based on various regional conditions. Examples of global applications would include Google. It adjusts itself based on the user's location, ensuring a unique experience for each country. Various features will include languages, time zones, currencies, and many more. Globalization testing is done via a team of testing experts who ensure the software is set for the global market based on modern demands. This could be done while collaborating with translators and business experts who can guarantee the level of inclusivity the application would have based on clients’ requests. What is Localization Testing? A type of software testing in which the intent is to make sure the application is designed for a fixed region. This includes showing regionally relevant content and optimizing the application for a specific language. An example of a localized website is a government website, such as bundesregierung.de, which is only available in German, French, and English. It is specifically designed for German citizens and features information that is exclusively relevant to Germany. - Globalization Testing Vs Localization Testing - Globalization Testing Localization Testing A test was performed to make sure that an application could be used by various users around the globe A test is performed to make sure that the application is designed to be used eventually in a specific region It is used to validate different currencies, addresses, and mobile numbers in software It is used to validate particular currencies, addresses, and mobile numbers Takes more time to conduct Takes less time to conduct Requires higher cost to include various elements Takes a lesser cost to perform It separates the translator from the developer to guarantee independent results Testing is only done on limited levels Why is localization important? Studies have shown that localized apps generate more stable revenue, this is because region-customized applications maintain a loyal and frequent following as users become more dependent on them. Localized applications would include specific features that are adjusted for a certain country or some countries. These features are of unique design and are made to be suitable and accessible for a limited group. Why is Globalization important? To include as many users as possible, it is obvious that business owners would want to globalize their software. Globalized applications would include specific features that adjust or adhere to certain countries. These features are also compliant with cultural norms and take into consideration the difference in display and perception between regions. It is incredibly significant for companies to ensure as much usage as possible. This helps establish the strong and weak points concerning geographical areas. Future marketing analysis relies a lot on Globalization testing as it helps get a clear image of why certain applications might not perform as well in separate places. Q-Pros is a leading IT company providing testing services to our clients to ensure excellence. If you want to know more about us request a service ...

Read More
End-to-End Testing

End-to-End Testing, a comprehensive approach aimed at evaluating software systems' ability to fulfill all required services from initiation to crucial closing phases, stands out among various testing methodologies that focus on specific functional and non-functional attributes. Within this article, we will explore how Q-Pros employs End-to-End Testing to ensure compliance with QA standards. What is End-to-End Testing? End-to-end testing is a testing approach used to confirm that application software works or behaves as expected from start to finish. The primary purpose is to ensure the software has all integrated components working well. E2E activities include examining the system under real-life scenarios to see how it behaves under intended use. E2E is also one way to identify the system’s dependencies and validate data integrity for users. Importance of End-to-End Testing Most software systems consist of multiple sub-systems that correlate with each other, and the success of the entire system depends on all those systems working well. A way to check for that correlation is by E2E tests, and by doing so, we can avoid system crashes. E2E tests work like any other testing approach. It requires test cases and test reports. The objective is to look for bugs and defects and identify potential bottlenecks that the systems could be facing during use. Types of End-to-End Testing The following are two types of methods for E2E tests that are commonly used: Horizontal E2E testing This type of E2E involves testing the system on a horizontal scope, which means looking at the basic functions used in an application. This comes closer to the actual journey of the user without diving deep into specific expert knowledge. Take for example creating an account and deleting an account. Vertical E2E testing This form of E2E is a bit more for the complex areas of the systems, meaning we are now diving deep into aspects beyond the simple user interface. Take for example testing each component of the system separately and paying attention to data through the UI, API, and database layers. Automated vs. Manual End-to-End Testing E2E tests can be performed manually for the most part, a testing expert would simply follow the normal flow of the application use it as intended, and record any occurrence of defects or bugs. However, software testing services are involved in frequently testing more complex software systems that include an API and database where there could be no concern to the UI for the tester. In that case, we rely on automated methods to conduct a thorough analysis of the system by calling multiple complex orders via automation software. Tools for Automated End-to-End Testing · Selenium Webdriverjs · BugBug · Mabl · testRigor · Autify Conclusion End-to-end testing can help developers scale up the quality of their applications by guaranteeing that the system is bug-free throughout its entire course. End-to-end testing is a testing method used to validate application software performance and behavior as expected from start to finish. E2E testing can be both automated and manual depending on the complexity of the components we are testing. Q-Pros is a leading testing provider with years of experience that testifies to that. We believe that End-to-End testing is vital for QA purposes. While establishing our testing planes and phases, we make sure to include E2E as an essential stage for QA. If you would like to know more about us and our testing approaches, read more. Check out our online request service to get your own testing plan organized to your demand. ...

Read More
7 Best Functional Testing Tools to Use in 2023

Functional testing is a way to verify that software applications are providing expected outputs as required by the end-user or business. Functional tests are concerned with evaluating and comparing software functions with business requirements and quality standards. We at Q-Pros rely on a heavy arsenal of testing tools and modern utilities that help our teams achieve guaranteed and accurate results. In this article, we will look at the most renowned functional testing tools and why you should be using them in 2023 to achieve higher status in the testing world. Overview Let us start by looking at the criteria of which we will be relying on to consider a functional testing tools in our top 7 list. Usability–It is important for testing providers to make sure that the testing tools used can be used by team members with multiple levels of experience, and by more than one section or department within diverse teams. Integrations – In order to maximize a testing tool’s potential, it needs to be able to integrate with a wide range of software and coding languages. A good testing tool will make use of common frameworks to facilitate the work. User Interface – The perfect testing tool to choose needs to be well designed with a smart, easy to use interface. And so, based on our assessment framework, here is a list of 7 functional testing tools to use in 2023: 1. Selenium Selenium is one of the best test automation tools available for QA engineers and developers. It offers its users several libraries and tools that allow for efficient browser testing. One of Selenium’s top benefits is that it allows users to design test cases based on functional specifications with ease by offering options to change and control HTML elements to their exact needs. Its latest version (Selenium 4) supports several programming languages, offering simple implementations with JavaScript, C#, Ruby, Python, and Java. It is also worth mentioning that Selenium is an open-source tool that is free to use! 2. SmartBear Ready API SmartBear ReadyAPI is a functional tool designed for API testing, and it goes well with Agile and DevOps methodologies. It offers functional testing, API Performance testing, and API web Virtualization. ReadyAPI also provides automation options at every building stage through CI/CD pipelines. It offers you the ability to build data-driven functional API tests. The tool also integrates with any testing environment that uses Smart Assertion features. ReadyAPI provides integration with platforms such as Jenkins, Docker, and Git. 3. TestRigor TestRigor stands out as an excellent functional testing tool as it allows its users to build automated tests in plain English from a human point of view. It also converts manual tests into AI-based automated tests. TestRigor analyzes all potential factors behind the scenes to use the most effective ones, which outcomes ultra-reliable tests for testing teams. TestRigor is a great tool to build and customize new tests, and it allows the testing team to focus on test building rather than maintenance. 4. TestComplete TestComplete is a GUI functional testing tool that provides adaptable testing solutions. It works with multiple languages such as JavaScript, Python, and VBScript. What makes TestComplete more efficient is that it allows you to record your test runs and go back to them after implantation and adjust them based on initial outcomes. The tool also provides you with the capability to map objects from the screen and display objects, therefore allowing you to monitor any object in addition to providing you with all possible Xpaths for that specific object. 5. SoapUI SoapUI is an open-source functional testing tool that supports requirements-based testing and API solutions. The tool is renowned for its flexible interface as it allows your team to easily navigate through it with basic technical experience. SoapUI offers an endpoint explorer feature that lets you select a certain desired method and save the REST endpoints of URL requests - (URL requests can be made in both JSON and XML formats) 6. Kobiton Specifically created for mobile app testing, Kobiton allows you to perform manual and automated functional testing, performance testing, and visual testing for Android and IOS devices. It also offers a parallel text execution option to combine tests from multiple devices operating systems and platforms. It gives you the ability to implement a full device lab involving local and cloud devices (both public and private clouds) Kobiton allows you to perform automated tests without any knowledge script-wise. It also offers the ability to convert manual tests into complex automated tests. 7. Testim Testim is an automated testing tool that provides AI-based test implementations. The platform relies on AI to verify and lock visual elements, increasing testing stability for UI functional testing. Testim visual editor allows you to record and edit tests to efficiently organize test cases, as well as giving you the ability to keep test steps in parameters, streamlining the testing process for all testing contributors. The tool also helps you to replace duplicated tests with shared objects. And there you have it, 7 of the best functional tools to use in QA in 2023. Q-Pros Q-Pros is a leading IT company and a testing services provider, and we rely on market-leading partners and vendors to guarantee accurate results for our clients in every domain and industry. Such vendors include Smart Bear, Microsoft, Oracle, Tricentis, and much more. Our teams make use of various tools and utilities that are chosen uniquely for each client depending on business requirements and project technical specifications. Request a unique testing service through our online testing form. ...

Read More
A Short Guide to Stability Testing

A thriving business deserves a thriving software, and we at Q-Pros believe that software testing is the key to scale up businesses and create better results for both business owners and customers/users alike. One way software testing can help extend the functionality of an application is through Stability tests. In this article, we will define what stability testing is and its many benefits. What is Stability Testing? Stability testing is a type of non-functional software testing that helps measure an application’s ability to function continuously over lengthy periods. The primary purpose of conducting stability tests is to ensure the software component does not collapse under a wide range of use over time. One way to test the efficiency of the application is to run a stability test and ensure that the application is running well under circumstances beyond the average use. The intent here is to pressure the system to check its capabilities. Why Do We Need Stability Tests? In general, software testing helps us understand how the application will run under real-life situations, and we can find out what the limitations are, and how we can avoid future bottle-neck situations. Stability tests give us the confidence to trust the system while knowing that it will maintain function even when used to the maximum. Few issues are common in newly developed applications and mostly for justified reasons that are beyond the developer’s capabilities. Stability tests serve as an identifier of such issues and make us aware of the updates and fixes we can use to overcome them. Some issues regarding performance will erupt due to heavy usage. These issues include a sudden or repetitive request on the application or having a massive amount of data being entered at once. Stability Tests Outcomes As is the case with other testing approaches, stability testing requires a lot of reporting and building for test cases. We must document a list of results and stats that include the following: Hits per second – The number of demands or hits users would request; This gives us an understanding of the load percentage over the system. Throughput – Throughput is measured in bytes. It is the amount of data that a user would receive over a fixed amount of time. Memory – This is simply to document memory usage while conducting the test. Transaction Response Times – The time it takes for the system to complete a request/response cycle as declared by the application. Response time is important to measure in general, and in stability tests, we make sure that it has the same value while the system is running under stress. CPU – CPU utilization spent while performing the test. Stability Tests Process Test planning: We start by defining a solid testing strategy, making sure to mention the objectives and milestones. Test case designs: We then create solid test cases and scenarios that can efficiently assess stability parameters. Test case review: Making sure that our test cases are validated against project requirements and technical specifications. Test execution: Perform the tests. Report results: Documenting all outcomes from executed tests to share with operational stakeholders. Tools Used for Stability Tests Several performance testing tools are suitable to test for stability. The most predominant tools used now are: LoadRunner CloudTest Apache JMeter LoadUI WebLOAD In Conclusion It is certainly the goal of any application provider or business owner to have their applications scale up and be used by as many users as possible. Stability testing is a great way to scale up software. By doing a stability test we can guarantee that an application is more than ready to face future challenges. Stability testing is part of other performance testing approaches that evaluate the system’s performance attributes and help us understand how a system would behave under fixed environments. Learn more about software testing and get to know more about us. If you want to request a testing service, check out our list of offers and request a customized testing plan for your software via our request form. ...

Read More
5 Ways AI is Solving Software Quality Challenges

Over the past recent years, software testing approaches became more complex to keep up with the constant advancements in software development practices and with the nature of digital services in general. As is the case in all industries, AI (Artificial Intelligence) and ML (Machine Learning) are shaping up new ways to speed up the production process and assure more accurate results. So is the case with software testing. AI solutions can not only scale up the level of productivity in all aspects but also solve issues that seemed inherent and unavoidable. In this article, we will discuss 5 ways in which Leveraging AI can solve software quality challenges, and how we at Q-Pros look to adapt such practices to further enhance our services in the world of QA. #1 Data Management Challenges Data gathering and documentation are at the core of any QA process. How well we manage our data decides the level of quality we seek to achieve. One problem testing engineers have struggled with over the years was data management. The amount of data being generated from the software development phase can be enormous. This amount of data can be so huge, that it can be impossible for human brains to fathom. This data includes: Values and parameters Environment data Build Data Data production and data coverage Giving this type of data a proper and accurate analysis can only be done by leveraging AI utilities. Relying on smart AI methods can secure better results in all software development phases, specially in the testing stages. It is likely that humans might fall to errors and get overworked while trying to comprehend enormous amounts of data. One crucial factor in assuring top quality is to collect data from end-users, and by doing so, it helps the dev team decide on what should be tested based on data gatherings and test configuration and combination. Test configuration can amount to millions of potential scenarios, and data-driven tests are essential to the testing process only running this data through smart analysis allows the testing teams to narrow down the number to prioritize the most valuable tests. #2 Challenges Regarding Time Organizations are constantly looking for ways to drive the Dev-Ops process even faster, and relying on smarter methods can further drive the cycle even faster and ensure better quality at the same time. While Agile methods can result in more organized and accurate outcomes, they can also take a heavy toll on the dev team. We must produce test configurations and test, and then the dev team must make the changes and wait for another testing cycle or sprint to ensure that no further changes are needed regarding the scenario at hand. Speeding this process and ensuring the same if not better quality of results can only be done via smarter AI solutions. By analyzing quality trends and assessing code-changing risks, developers can then plan for better more efficient sprints. #3 Keeping up with mobile and app advancements With the current state of exponential growth of mobile devices and mobile application services, it is getting more and more complicated for developers and testers to keep up. Most Mobile Operating Systems (OS) come with an SDK (Source Development tools) which are used to create native programming languages that are suited for each OS and each device. This accounts for many combinations which are still unstable as things are changing fast. Leveraging AI in the testing process can simplify things and assure the inclusion of all modern updates. #4 Integration Testing Within the Agile structure, QA has become a bottleneck or a speedbump. This is because while it is an essential step, there is little that can be done when it comes to constant updates and changes, we need to constantly test with each change! And while software development is shifting more to the front-end, testing on the front-end could be fragile. That is why we need to make the most of the AI to run more integration tests. #5 Continuous Monitoring Existing new possibilities lay ahead in the world of software development, and it is only fair to extend the same level of advancements to the world of testing services. In future years, we will begin to see automated functions running in the background always analyzing every level of code. The Use of AI can help establish the foundation for such continuous progress as it is difficult for human labor to keep track of every degree of development. Cognitive Automation As mentioned, one challenge facing software testing is our need for continuous testing. Doing so allows us to confirm expected behaviors and check for any changes or anomalies. This task is better done through AI, and we could allow automated tools to adjust and customize themselves to perform this process. QA engineers must harness the benefit of AI and make use of every viable way to automate the testing process, this allows for more time for creative thinking and planning for more tests and areas to serve the overall project. The need for human intervention in software testing will always remain, the key is to adapt and collaborate with automated means, and not to eliminate one on account of the other. For as long as the software is designed to be eventually used by humans, the need for human testers will only grow more as applications are getting bigger in scales of usability. AI Testing and Shifting Left In recent years, and with the emergence of such work models like agile and DevOps, testers started shifting left, which means testing is now becoming more present in the initial stages of development. The role of AI in shifting left is that it asserts cooperation values and by doing so allows the development teams to co-exist and align better with the testing team. One way to deliver better quality to the product is to involve the testing team in more stages, such as early planning and sprint execution. Q-Pros Q-Pros is a leading IT company that provides testing services at all levels, we at Q-Pros rely on manual and automated testing methods and tools to assure the best quality for our clients. We plan and strategies testing plans custom-made and crafted for our unique clients. The role of AI is eminent, we strive to lead the way in innovation and creative testing. Read more on how we plan to leverage AI in software testing. Read more about Q-Pros and request a testing service via our online form. In Conclusion Software testing involves a set of unavoidable challenges. It comes down to either working hard or working smart; while we intend to do both, it is of extreme importance to remain on top of modern advancements. Establishing good foundations with AI and ML tools is a huge asset for software quality. Automation allows us to analyze data in real time. Through AI we gain more information from data builds, code changes, and test history, narrowing down thousands of possible configurations. By empowering the testing team through Automated tools, we receive better and quicker results. ...

Read More