Quality Assurance Vs. Quality Control Vs. Software Testing
Organizations use phrases loosely and sometimes identically, even when they aren’t truly synonymous.
Quality Assurance (QA), Quality Control (QC), and Software Testing are just a few examples of this. Despite their similarities, they are ultimately distinct.
You’ve probably come over them if you work in the IT business. You’ve probably also seen that many executives — and customers – have no idea what these terms mean. They’ll almost certainly refer to them as the same procedures, although they aren’t. Let’s see what the difference is.
What is Quality Assurance?
Quality assurance is defined as “a system for evaluating performance, such as in the provision of services or the quality of the product offered to consumers, customers, or patients,” according to Yourdictionary.com.
A systematic method put up by an organization to achieve quality requirements is known as quality assurance (QA). This procedure helps to avoid errors and flaws in the final product and services given to customers.
QA is the cornerstone of quality management since it focuses on product integrity. It also gives stakeholders assurance that the desired and specified requirements are met.
What is Quality Control?
“The process of defining standards and testing to ensure that anything, such as a service or product, is done correctly,” according to the definition of quality control.
Quality control’s purpose is to see if the defined model was implemented or not. It can be accomplished by conducting audits and evaluating whether the team adhered to the defined quality model.
What is Software testing?
Software testing is the process of determining if the design acts as expected under various conditions.
Test cases provide documentation for the requirements. The product is verified and validated by the tester. The test case is designated as pass or fail if the product requirements under the test act as predicted. Automated testing is when a test case is executed without the need for human interaction.
Various automated testing tools are now available, some of which are paid, while others are free and open-source. Some are simple to operate, while others need a high level of knowledge.
With all of the improvements in the automated test business and a focus on ease of use, test automation tools have been developed that make test automation simple to understand and use. Testsigma, a cloud-based automated testing tool that offers test automation for online and mobile apps in plain English, is one such solution.
The primary goal of testing and test automation is to detect faults and issues as quickly as possible. The tester creates a defect and assigns it to the developer for the failed cases.
The requirement is checked to verify the workaround and the relevant case is passed once the developer has fixed the fault. These feedback loops are critical at every level of the product delivery lifecycle.
We obtain a clear view of how testing is going, what protocols are being followed, what is outstanding, and what the current success rate is by recording requirements and associated testing results. Testing defines a number of pointers, including
- Coverage of code and functions
- The traceability matrix aids in the definition of each need and is linked to at least one case.
- Automation vs. the manual testing percentage
- the number of test cases runs
- The total number of instances that were passed
- The total number of failed cases
- The number of flaws has increased and has been corrected.
The testing procedure cannot be reduced to a single model because a product is submitted to a variety of tests. Each sort of testing has its own set of objectives. Functional testing, for example, will just check for requirement conformance.
Non-functional testing, on the other hand, examines other areas of requirements, such as how an application will react under excessive demand.
As a result, following one model during testing and achieving the intended result is nearly impossible. If you stick to one model throughout the testing process, you’ll almost certainly overlook some important needs.
Differences between QA, QC, and Testing
|QA activities involve ensuring the application of processes, procedures, and standards in the context of verifying developed software and meeting intended requirements.||It entails activities to ensure that generated software meets documented (or undocumented in some circumstances) requirements.
|It encompasses operations that assure the detection of software faults, errors, and defects.|
|Instead of performing system testing, it focuses on policies and procedures.||Emphasis on actual testing, by running software with the goal of identifying bugs/defects using procedures and processes.||The emphasis is on actual testing.|
|Concentrates on process-oriented tasks.||
Concentrates on product-oriented tasks.
|Concentrates on product-oriented tasks.|
|Preventive measures.||It is a therapeutic procedure.
|It is a preventative measure.|
|It’s part of a Software Test Life Cycle (STLC).||Quality Control is a subset of Quality Assurance.||Software testing is a subset of Quality control.|
To summarize, quality assurance ensures that the proper processes are in place to provide a high-quality product. This also entails establishing Quality Control Procedures. Quality Control ensures that the methods established during QA are followed, with testing being one of them.
‘QA, QC, and Testing’ are the basic ideas that a software tester or a software quality assurance analyst should understand. After a software tester has learned about these and has participated in end-to-end software testing, the next set of skills to master is those of an automation tester.
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Author: Sravani Kinjarapu