Software Development | Independent Testing Company

23مايو

Understanding Bugs in Software Testing

The objective of QA activities is to find and detect defects and ensure fulfillment of requirements as desired by stakeholders. We at Q-Pros put this on the top of our priorities when serving our clients. In this article, we will investigate bugs in software Testing, what are the criteria followed to report a bug, the terminology used, and why we get bugs? To start, let us look at the definition of bugs in a software system. Definition of “Bugs in Software Testing” A bug is a way to define a certain defect that is blocking an application to work as required. Finding bugs can be defined as the main objective of the entire testing process. Bugs might be caused due to several kinds of mistakes made by developers in the development phase. Types of Bugs in Software Testing Bugs are segregated into categories based on casualty as such: · Coding Error: A bug caused due to a mistake in the coding phase (Internal mistakes). · Design Error: A bug caused due to a designer’s mistake, these bugs could cause issues in functionality and behavior. · New suggestion: This type of bug is concerned with enhancement. A testing expert would suggest a change rather than a severe fix. · Documentation issue: Documentation issues could cause ambiguity and misunderstanding amongst involved developing teams. Which in turn results in bugs and defects. · Hardware problem: Bugs caused by hardware issues interfering with the application of the software. Types Of Bug Severity In order to prioritize QA efforts, we separate bugs in terms of severity. Bugs in Software Testing are defined based on effect level into the following types: · Blocker: Blocks a certain function or test to be actioned. · Critical: Causes system crash and major loss of data. · Major: Causes a huge abnormality of function. · Minor: Causes a small/minor loss of function. · Trivial: UI enhancements required. · Enhancement: A suggestion for a certain change or modification. - Using Jira as a bug-tracking tool Jira is an open-source tool that is used for bug tracking, project management, and issue tracking in manual testing. It offers services and features that include reporting, recording, and workflow. Jira is a prominent project management tool that is easy to use and works best for projects that require multiple teams and levels of involvement. Characteristics of a Valid Bug (Bug Criteria) Reporting defects can be trickier than you would think. For us to consider a bug valid for reporting, it must follow a certain criterion. First, a Bugs in Software Testing should be unique and have its own unique ID, this means that we cannot relate to more than one defect regardless of how close they are in the scope of application. Then you must consider the fact that bugs should be reproducible, meaning that more than one tester can get the same bug when following the same steps leading to that bug. Thirdly you should dedicate as much time as possible to make sure that the bug report is clear and cohesive and can be transferred from one team to another to get the issue fixed. - Read Also “Mobile App Testing Checklist for a Defect Free App” Where do Bugs come from? There are several reasons why we get bugs in Bugs in Software Testing. The top two factors of bugs immerging are: · Poor communication Communication during the development stages is highly significant and is a key factor in project management. Post-production bugs come about due to miscommunication which leads to ambiguity, meaning that there was an unclear or misunderstood transfer of information during the initial stages of requirement planning and design on what the software is required to do. · Programmer’s mistake Programmers might make mistakes during the coding phase, which will most certainly open the door to several bugs and defects. Testing experts have methods to check internally to root out the cause of a defect from the source code directly. Learn more about software testing approaches at Q-Pros and request a service via our online test request. https://q-pros.com/online-test-request/...

Globalization testing and localization testing

16مايو

Globalization and Localization Testing in Software Development

by q-pros

in software testing

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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 Testing 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 Testing 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 https://q-pros.com/online-test-request/ ...

15مايو

Codeless Testing – Automated Testing & Tools

by q-pros

in News & Topics

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In this article, we will get to know more about a term commonly used in the QA (Quality Assurance) world. It is associated with automated means of testing a product. Codeless testing, or codeless automated testing, provides solutions for developers and testers by ensuring everybody’s involvement in the testing process regardless of their level of technical knowledge. So, what is Codeless testing? What are the specifics of implementing codeless automated tests? And how we at Q-Pros take advantage of such practices to ensure better and more guaranteed results for our clients. What is Codeless automated testing? Codeless automated testing is a type of testing that involves no writing of code. It allows teams to automate writing tests without the need for code-writing skills. By relieving the testers from the time-consuming code/scriptwriting process required in many manual code-based tests, Codeless Automation allows for more time within the Dev-Ops cycle, accelerates the software development lifecycle (SDLC), and channels more energy toward development and innovation for developers and testers alike. Codeless vs Code-based Testing By distinguishing testing approaches based on code usage/dependency, we produce terms such as low-code, no-code, and code-based testing. These terms are regarded as frameworks adopted by testing experts based on the business needs and requirements. Some products require simple forms of testing by following the logic of use. These approaches require little-to-no-code knowledge, while other more complex forms of testing rely extensively on script knowledge. Codeless Code-based Little to no coding skill Requires strong coding skills ~ Less than an hour a test ~ 5 to 6 hours per test Relies on self-handling tools Proactive in nature Tested on web and mobile Mobile native (Appium) & desktop web (Selenium) Test scenarios are flow-based Test scenarios are page-based When to use Codeless testing? To achieve top-quality results, any organization should ensure a healthy balance of code-based & codeless testing methods. Not all tests can be done via codeless means, some tests are too complex, and unpredictable, and it would be impossible to get accurate results without a hefty use of code. Certain tests for behavior for example are difficult to test for using codeless automation methods. An application being blocked on certain devices, or cases where different results are erupting irregularly. In the QA world, tests are segregated based on objective, and by understanding the required goal of the test, one can choose a testing method that is fitting for the mission at hand. Rather than scanning all aspects of an application using one code-based methodology, relying on codeless testing first-hand regarding certain aspects saves a lot of time. Components, features, and approach. Selenium is an open-source medium used for automated testing. It provided companies with a good ROI (Return on Investment) in their projects by accelerating the testing process. While companies relied on Selenium for automated testing, Selenium offered a component that allows the recording, editing, and debugging of functional tests, called Selenium IDE (Integrated development environment). Selenium IDE recorded testing steps and later provided the option to convert these testing steps into a programming language. Basic features for Selenium IDE: Allows test case reuse via the Run command. Provides automation cross-browser testing using the Selenium SIDE runner. Supports a mix of commanding options like loops and raise asserts. Runs a specific test or a testing suite. Records scripts, which can be later accessed manually for editing. Its benefits can be extended using plug-ins (Third-party services provided by Selenium). Another highly-ranked automation tool that offers a codeless feature is Katalon Studio. It is described as simple to use with unique features. Basic features for Katalon Studio: Very minimal coding skills are required. Built-in test case libraries, project templates, and keywords. It allows for recording and playback. Used for API, desktop, and mobile. Allows for the use of plug-ins. Many other tools that are unique in features are provided for test experts to make use of. Software development companies are adding and enhancing versions of their testing applications so that they can offer faster and easier ways of testing more efficiently. These innovative tools not only benefit testing experts or developers but also provide a sense of comfort for clients looking for better results. Codeless Automation using Cloud By utilizing cloud technology, we can speed up the testing process even more. Removing the supervising human user from the process and making sure that every aspect of an application is tested. Several benefits include: Adjusting workload as needed automatically. Automation on a cloud test for scalability easily without the need for hardware. Cloud automation testing can be accessed anywhere, anytime. Security is provided by the cloud provider. Cloud automation meets robust requirements. Q-pros is a leading Quality assurance company, with years of experience, we managed to stay ahead of the curve in all state-of-the-art testing utilities. You can request our automation testing services via our list of offers. By reducing limitations, Codeless testing strengthened the cooperation between the developing team, testing team, and clients/end-users. This enriches the Dev-Ops cycle and in return guarantees better results and cost-effectiveness. ...

12مايو

QA Fundamentals: Introducing Test Cases

by q-pros

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Q-Pros prides itself in adopting top-level methodologies and test cases essential for the QA process. We make sure we recruit specialized quality engineers who can utilize their skills to improve software performance. In this article, we will investigate the specifics involving test cases. The definition, and why are they essential to QA (Quality Assurance). What are Test Cases? In simple terms, a test case is implementing a scenario to measure aspects of the functionality and non-functionality of a specific software while applying a set of actions. This is done by actioning certain features of an application under specific conditions to ensure the desired result. A test case differs from test scripts, as test scripts are programs intended to test for certain codes responsible for certain aspects of functionality. Test cases involve a set of actions to be completed per the actual order of functionality planned for the application. So, it is safe to say that test cases are more inclusive than test scripts. The outcome of each test case step is intended to produce a pass or fail status, depending on the criteria being followed. One could measure an application’s security by establishing a test case where the elements being actioned are aligned with a security measure, like verifying that password or account authentication works well. Components of Test Cases: Test case ID: any test case should have a distinct ID; this will help organizations keep track of the progress and reference scenarios accordingly. Test description: A description of the unit being tested and for what. Pre-Conditions: What should be implemented before conducting the test case. For example, having an account is a condition to measure security. Test Data: this includes the data being used to verify, input, and output data. List of steps to action: This includes a step-by-step representation of the order of actions needed to guarantee the implementation of the test. The Expected Result & Actual Result: After all actions and conditions are applied accordingly, an expected result should already be in mind (i.e., the desired outcome of the scenario). The expected result is then compared with the actual result, and from that, we assess whether it is a pass or a fail. Importance of Having Test Cases Any client must know the potential of their product, and how specific they can get while using it and it still delivers expected results. Nowadays, developers are planning test cases ahead of time to keep their clients up to date with what to expect. By providing and planning test case scenarios, clients can pitch in and provide feedback on the test cases and get involved in the testing process. Test cases allow for more transparency and build trust between all parties involved. It strengthens the DevOps cycle by asserting firsthand cooperation between developers and testing experts. It opens the door for more innovation, as more test cases are implemented, the potential of the application is stretched even further to make sure it includes more aspects of use. With our expert team of QA testers, you can be sure every corner of your application is covered with top-level test cases. Know more about our list of services. https://q-pros.com/online-test-request/...

15ديسمبر

5 Ways AI is Solving Software Quality Challenges

by q-pros

in software testing

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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. 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. https://q-pros.com/online-test-request/ ...