In today's rapidly evolving digital world, software usability plays a crucial role in the success of businesses. Software has become the backbone of many organizations, from websites to mobile apps. In this article, one of our QA will explain what quality assurance is and its importance during the Software Developing Process.
Given the business criticality of software, it's vital that the developed software is protected from vulnerabilities, performs predictably and meets the needs of the end users. This is where QA and testing come into play.
Quality assurance is critical in software development because it ensures that the software product meets the end-users expectations and functions as intended. Quality assurance helps identify software defects and bugs early in the development cycle. That saves time and resources by catching issues before they become more complex and costly to fix.
A proper QA testing approach also ensures that the software meets the quality standards set by the organization and industry regulations. It helps to ensure that the software is reliable, secure, and performs well. This ultimately leads to customer satisfaction and increased business value.
Software testing and quality assurance are two important software development life cycle aspects. While they are related, they serve different purposes.
Software testing is evaluating a software application or system to identify defects or errors that could affect its functionality or performance. It involves executing the software to find bugs and verify that it meets the specified requirements. Testing can be done manually or through automated tools.
Quality assurance, on the other hand, is the process of ensuring that a software product or system meets the required quality standards and customer expectations. It involves creating and implementing processes and procedures to ensure that the software is developed and delivered according to the desired level of quality. This includes verifying that the software meets the required functional and non-functional requirements, as well as assessing its usability, reliability, and performance.
What is Quality assurance in software testing? It involves using a systematic and structured approach to testing software products. This involves establishing quality standards for creating test plans and test cases, executing tests, and reporting defects. The quality assurance process helps to ensure that the software is of high quality.
There are several key approaches to software quality assurance, including:
It's a must for specialized QA companies or software companies with QA teams involved to be responsible for ensuring that the software products developed by a company meet the quality standards.
Commonly companies specializing in QA services provide these types of software testing services:
At Opinov8, we follow the global gold testing standard and have three types of automated tests: unit, integration, and end-to-end tests. The test approach is agreed upon with the client and specifies the required test coverage and depth for each type of test. The team plans for the necessary scope of automated tests during the planning stage. Unit tests check the program units, integration tests check the integration between different system modules or components, and end-to-end tests perform an extended validation of the user flows. Smoke tests act as a quality gate during active development, and regression tests check all system components and features. The tests are automatically triggered with each code commit or system build, and some tests are triggered manually within increment finalization activities.
Opinov8 recommends using both Manual and Automated testing together to increase system reliability and avoid potential pitfalls. Projects benefit from the synergy of these two approaches as automated testing requires low time to perform, while manual testing allows a human mind to check cases that might be missed by an automated testing program.
At Opinov8, we are experts in Software Quality Assurance Testing Services. If you need help with your projects, please contact us.
Opinov8 is a fast-growing company, and we, Opino8rs, are proud of it! We are always thinking about our future, our growth, and our customers — how could we provide the best service? Obviously, to achieve these goals, we must build strong and scalable processes. Requirements testing is one of them.
Today, we are going to talk with Vadym, Opinov8 QA Practice Lead. Vadym will tell us about one of the processes implemented in Opinov8 — requirements testing. This is a basic and mandatory process for all our projects.
As you know, requirements are the foundation for any development project. Projects start with documentation (requirements) and end with it. One of the most vital processes for us is requirements testing. In Opinov8 (for a project with SDLC based on Scrum), we created a few rules when implemented this approach:
We need to test the requirements exactly before these requirements are added to the sprint backlog. On the other hand, it is not necessary to perform these actions at a very early stage because there is a possibility that these requirements will lose their relevance.
As a result, we can significantly reduce the cost of the project (or sprint, since we are talking about testing requirements as a sprint activity).
Our Business Analysts use a requirements approach based on the INVEST mnemonics described here. However, from the QA practice side, when we do Requirements Testing, we also stick to the following aspects:
All statements must be correct, truthful, and make sense. Testing a system for incorrect requirements is a waste of time, money, and effort. How correct is your requirement? Is this really what is required of the system?
Can be traced back to the business problem or business need that triggers it. Does this really cover the needs of the business?
The requirement should contain all the information needed by the developers and everyone else who uses it to do their job. The requirement must include all the details necessary to express the needs of the users.
Requirements must not conflict with other requirements. Are all buttons or error messages in the same style?
There must be a way to check if the implementation meets the requirements. Can the requirements be verified? How do you do this, and what data and tools do you need?
Is it possible to develop the described functions, we do not have blockers and restrictions?
Anyone who reads the requirement must come to a common interpretation.
Is the requirement unambiguously defined so that it can be unambiguously referred to?
Are all scenarios covered in the requirements?
Requirements testing is a top priority to help you get your developing project to a really good level. Timely use of these activities can save the development team time and money.
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RPA tools are becoming increasingly vital in software development, especially in one of the most important — and time-consuming — tasks: software testing. To ensure a product functions properly before being released to the public, developers must carry out several different rounds of test execution, validation and reporting to highlight any areas that need repair or improvement.
Throughout the history of software development, test automation tools have existed to execute common workflows and assist developers in ironing out the kinks of their product. However, these tools have often been cumbersome and expensive, requiring a deep knowledge of coding that makes them difficult to set up. Additionally, many test automation tools necessitate a certain amount of manual testing, turning a seemingly automated process into a task that still requires human intervention.
The introduction of robotic process automation (RPA) tools has revolutionized software testing, making it easier and more efficient than ever before. Built to follow an automated workflow, RPA tools can be set to automatically carry out software testing on a wide scale without the need for human intervention. Using RPA tools helps teams greatly reduce the time spent on boring and repetitive tasks, which can ultimately lead to human error. By following a structured, rules-based workflow, RPA tools can execute automation testing with greater efficiency than human beings, freeing up employees to focus on high-value tasks.
RPA tools typically require no programming skills, making it easy for non-technical users to establish a workflow for a digital worker to follow. When testing a user interface or API, users equipped with RPA tools can simply build a workflow that doesn’t require additional work to carry out the automation. With the help of detailed analytics and reporting, these tools can be analyzed and adjusted to ensure testing is occurring thoroughly and accurately.
RPA are incredibly useful for testing because they can be deployed across a wide range of platforms. Instead of having to find specific automation tools for particular operating systems or devices, RPA tools are often flexible and platform-independent, supporting web-based, desktop, and legacy application testing. Virtual machines through RPA tools also make it possible to scale testing at any time, saving resources while speeding up the testing process.
Many new automation software are beginning to employ artificial intelligence capabilities that can continuously improve upon their workflows. Rather than having to manually adjust specific tasks, smart tools can refine their behavior over time, making testing an automatic process that can be trusted to run without additional supervision. This advancement not only increases efficiency but also ensures a higher level of accuracy and reliability in testing results.
