Software Development | Independent Testing Company

12May

QA Fundamentals: Introducing Test Cases

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. Request a Service ...

15Dec

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/ ...

24Nov

An Introduction to Agile Testing Methodology

by q-pros

in Types of Testing

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With software testing shifting left (i.e., testing is becoming more present in the initial stages of development) the need for an organized project management strategy to keep up with multiple operational factors in the software development life cycle (SDLC) are more immanent than ever. Relying on Agile methodologies, the testing teams can operate on more levels and secure a bug-free/defect-free product that is constantly tested in all integration stages. For that reason, Q-Pros has adopted Agile practices and consolidated them with our testing process, assuring a swift and efficient outcome for our clients. In this article, we will define the Agile testing approach and connect the dots between Agile and modern software testing and software development. What is Agile Testing? Unlike its predecessor (the Waterfall method), which had a more linear approach, Agile focuses on reiteration and feedback. Agile methods would emphasize flexibility and cooperation between more than one stakeholder in the entire SDLC. A key feature that distinguishes Agile methods is that it relies heavily on continuity and constant testing, gathering information and feedback, and providing it to developers. Agile would increase the quality of the product and ensure improvements, clearing the way and allowing for more integration testing to take place within the process. The main principle in Agile is breaking any project into phases and sprints. It involves constant collaboration with stakeholders. So instead of waiting for one project to end to start with the other, teams cycle through a process of planning, executing, and evaluating. Benefits of using Agile Methods Here are some of the main benefits of using Agile methodology: Develop better quality products Strengthen the relationship between end-users and product owners by constantly collecting feedback Track bugs quickly Saving time and cost and decreasing the risk of releasing crashing products Gaining more flexibility and allowing for more creativity and improvements How Agile Mythology Works in Testing After defining Agile and its benefits, now we will investigate the ways to do it - Firstly, the Agile method can only be achieved through early planning. We start by gathering information from stakeholders and planning the scope of the project. Next would be establishing a testing plan that ensures Quality and aligns itself with the requirements. The testing plan would include milestones, where involving stakeholders would meet in weekly meetings to discuss the ongoing progress of the project at hand. Agile methods embrace mistakes and lesson learning. One distinct value of Agile is that allows the teams to circle back and improve based on previous trials. One way we can fully achieve an Agile-based workflow would be to rely on modern project management software. Tools such as Jira, Azure, ClickUp, and many others are used to assert Agile principles in projects. Agile Testing & Q-Pros Agile testing goes hand in hand with QA, it is now becoming an inseparable approach to setting new guidelines for projects. As a leading testing service provider, Q-Pros takes Agile development as a criterion for any service we provide to our clients. In the coming years, Agile methodology will slip its way into all areas and industries because of its flexibility and clarity concerning achieving desired outcomes. Learn more about Q-Pros and our approach and request a service via our online form. ...

27Oct

QA Roles: What is a QA Analyst

by q-pros

in QA Roles

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Quality Assurance (QA) involves several roles and career paths. One role that stands firmly in all QA projects is the position of QA Analyst or Test Analyst. In this article, we will look to define the responsibilities, mission, and objectives of QA analysts. As a leading testing services provider, Q-Pros relies on a diverse arsenal of professional experts. The QA roles series looks to supply insight into these professions and give a closer look at the grand scheme of the QA process. Definition: QA Analyst A quality analyst is a person responsible for implementing the principles and practices of quality assurance throughout the SDLC (Software Development Life Cycle) A QA analyst would look for flaws and weaknesses in programs and make certain that all requirements were fulfilled. They would implement plans to scan thousands of lines of code and inspect the system from several corners, such as functionality, interface, user-friendliness, and much more. The role of QA Analyst comes at the final stages of SDLC just before public release. They would also make sure that the software fits the targeted market and is fully compatible. A QA Analyst or Software Analyst would hold a professional certificate from a software testing certification board, such as the International Software Testing Qualifications Board (ISTQB). The QA field in general requires a set of skills related to problem-solving and attention to detail, a skill set that is ever so emanant with QA analysts. As the job title describes, QA analysts must be analytical and exact to ensure bug-free/defect-free systems. QA Analyst Daily Roles Quality Analysts have many duties depending on the organization and project where they are stationed, but the role mainly centers around sealing the deal before releasing the product to customers/users. Here is a set of duties expected from QA analysts: Creating efficient test plans Implementing the test plans to ensure the three main aspects of quality: functionality, performance, and reliability Track and report bugs establishing a criterion to prevent future bugs and crashes in the system Ensuring layout correctness and assessing proper formatting for all aspects of interface and user experience Some roles might include conducting localization tests and compatibility checks Leading the testing team through a swift and clear path throughout the whole QA procedure. This task includes knowledge of project development methodologies such as Agile and Waterfall. Most QA jobs require a good knowledge of programming languages, that is because testing engineers need to be able to design plans that deal with code corrections and scans. It also helps the testing experts understand how systems work. QA analysts have the responsibility to be extensively experienced with multiple programming languages and dealing with various operating systems. How to Become a Quality Assurance Analyst? For starters, the minimum qualification for testing analysts is a bachelor’s degree in an IT-related field, and preferably a specific major related to software development and quality. QA analysts in many cases, even on a junior level, are required to have prior experience in QA and software testing in general. Most companies hold the QA analyst’s role with high regard in terms of accountability and proficiency, this is because the nature of the job is incredibly detailed oriented. Most QA analysts end up becoming quality managers and would hold senior positions in QA companies, this is because the nature of the job involves being present in and cooperating with multiple channels and sectors throughout the entire project duration. To become a QA analyst, here is a list of several characteristics and skills needed: Good programming knowledge Broad knowledge of a variety of software applications and hardware attention to details and the ability to think on a larger scope creativity and innovation in working methods communication skills the ability to utilize logical thinking in identifying the strong and weak points in any system Good knowledge of modern tools and constantly tracking the latest updates In Conclusion QA analysts are one of the most vital members of any QA team. They maintain structure and establish the foundation for other team members to work more efficiently. Being a QA analyst is a career path worth chasing if you want to get involved with more than one sector in the QA hierarchy. It guarantees experience and growth in the world of software testing. We at Q-Pros make certain that our QA projects are well equipped with professional test analysts who can inspire team members and assure perfect outcomes for our clients and end-users. Learn more about us and request a custom-made testing service via our https://q-pros.com/online-test-request/ ...

17Oct

An Introduction to Behavior Driven Development

by q-pros

in Testing Methodologies

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While most development procedures are centered around implementation aspects in the traditional scope, channeling the focus towards behavioral components is a new trend that can help developers guarantee that the system is delivering as expected. Behavior Driven Development (BDD) can explore ways to strengthen the collaboration between business stakeholders and technical resources, achieving better results for end-users. Q-Pros have always relied on innovative methods to guarantee an all-around testing service for our clients. In this article, we will look to introduce Behavior Driven Development and get to know a bit more about the specifics surrounding this development approach. What is Behavior Driven Development? Behavior Driven Development, or BDD, is an Agile software development methodology that centers around the behavior of the code rather than its structure. https://www.youtube.com/embed/ydddSkVz_a8 BDD involves designing and documenting the application based on what the user is expected to experience when interacting with the product. BDD drives every involving stakeholder to a centralized standpoint, where everyone is fully aware and has a shared understanding of business requirements. Why is Behavior Driven Development different than other approaches? Test Driven Development (TDD) is a process of using examples to guide the development process. In TDD, the framework loops around the activity of writing a scenario, watch it fail, fix it, and write the code. So, what is the difference between BDD and TDD? While TDD clearly focuses on individual functions, BDD focuses on a similar process but for features that are extracted based on user needs. BDD relies on writing examples via natural language rather than the language of code. One Distinguishing factor that BDD has over other development approaches is that its foundation is set based on the user's experience rather than having a rigid framework with no regard to the end-users’ experience. Behavioral Driven Development allows for enhancements and updates as the work progresses rather than waiting for the project to end. BDD opens an opportunity for a more collaborative work environment, where all SDLC (Software Development Life Cycle) stakeholders are involved within the same scope at certain points. What are the Benefits of Behavior Driven Development? Here are some of the main rewards gained from relying on BDD: BDD requires less complexity: BDD activities involve breaking down the features into smaller sections that can be managed easily by all concerned levels. It improves teamwork and leverages communication: By documenting the user requirements in the initial stages it involves everyone from the beginning. Centering around the consumers: By revolving around customer experience, it guarantees a happy user at the end. BDD keeps the customer’s needs and wants as the top criteria throughout the entire process. How to Implement Behavior Driven Testing? We can start by ensuring that all team members understand the BDD framework, then we must verify the roles of each member within the scheme i.e., Developers to develop the code, testers to test the code, and business owners to verify the requirements in collaboration with other concerned parties. The next step would be establishing a proper testing approach or testing suite that is hand-crafted for the scope of work at hand. Keeping in mind that BDD requires natural language scenarios that align with features. BDD consists of the following phrases and steps: Given – i.e., Describe the behavior When – i.e., Step definition And – i.e., Run and fail When – i.e., Writing fixed code Then – i.e., Run and pass Finally, establish a method of verifying and reporting bugs. This includes insuring that the fix worked, and the problems were resolved. In Conclusion BDD is a wonderful way to involve all teams in the development and testing process. It facilitates the work while keeping everything clear for all members. BDD will help maintain quality and speed up the process while keeping space for further updates. Learn more about testing methodologies and request a costume service today via our online request form. https://q-pros.com/online-test-request/ ...