Automated tests are special scripts used to simulate software functions under predefined scenarios.
QA teams design automated tests to save time and money on repetitive testing tasks maintaining a consistently high-quality product even while the team of engineers continue to develop the product.
Once live, a software codebase never remains static for many reasons including new features, browser and OS updates, security patches, and a constant influx of new devices entering the market.
Regular, flawless updates are crucial for business growth but only when they are well-integrated into the existing codebase. The bigger and/or more changeable a codebase becomes, the greater the effort required by the development team to keep it up to date. And, with every change comes testing. This multiplies expense, but the expense is far greater if the crucial testing phase is skipped and the product goes live with bugs.
Automated testing makes it possible to keep an app codebase updated and still deliver on time and within budget. Using automated testing secures both code and cost through increased scalability that is not possible with manual testing only.
Problem 1: Maximizes workflow
Increases efficiency – tests are made for all hardware configurations on all devices providing quick access
to relevant stats on system’s current state of health.
Speeds up testing process because of increased efficiency while maintaining the same high-quality level.
Optimizes infrastructure load – tests are performed during off-peak hours eliminating extra server load.
Runs automation tests simultaneously ensuring timely delivery.
Problem 2: Streamlines Timeline
Shortens testing time – due to decreased number of routine manual operations.
Increases delivery performance – shortens time on preparatory works (data preparation, installation of environments, etc.).
Ensures continuous integration / continuous deployment / continuous delivery practices possible – automate smoke, sanity, and regression tests, and much more.
Problem 3: Quality of Testing
Improves examination workflow for routine tasks due to minimal human interruption. Automated tests do not get distracted.
Improves accuracy – Automated tests never deviate from pre-determined scenarios.
Increases reliability – human errors increase when running boring, repetitive tests. Automated tests do not get bored.
Problem 4: Test coverage
Improved coverage using testing based on different data sets.
More possible scenarios – determines how well the app performs under different conditions and increased loads.
Expanded configuration coverage – tests can easily be repeated across all possible browsers and mobile / desktop devices ensuring every configuration based on product requirements is included.
Problem 5: Reusability
Any test case can be used to test compatibility of new and existing code at any time no matter what the stress load.
Accelerate cross-browser and cross-device testing to ensure consistent functionality on all targeted platforms.
Speed up software delivery: automation testing is the basis of continuous integration / continuous
deployment / continuous delivery making it accessible to most use DevOps practices.
Automated testing does not completely replace manual testing.
Automated tests are individually designed based on the list of requirements. It is unlikely to solve specific problems users might face. The number of user scenarios for automated test scripts is quite limited.
In order to maximize a QA team’s potential, combining the strengths of both manual and automated testing remains the best solution. Automated testing works for common routine jobs where human attention quickly loses focus: app login, account creation, sending email notifications, etc.
Manual testing works for higher, more sophisticated levels: user experience, interface usability. These cannot be checked through automated testing.
Automated tests work best for the long haul when QA engineers must continuously check the same, previously stable code regarding any compatibility issues with each new update.
Automated tests also need time and attention for development and maintenance: they, too, need updating to keep pace with development. Once the QA team stops updating automated tests, the tests will start crashing, increasing in frequency and losing their relevance to the source code they test. To make them useful, the team might have to rewrite them.
Costs of one test case (minutes)
Costs of one test case (minutes)
The costs of analyze the results of autotests run (minutes)
Total count of tests
Total spent time on manual (min):
Total spent time on automated (min):
Automation efficacy (%)
Saved time (hrs)
Automated testing—when done professionally—makes it possible to check for possible software issues in a standardized, routine, efficient manner. This ensures software products are 99% bug free before entering the market, giving the needed assurance to customers of high quality and to businesses, a solid product.
In short, automated testing reduces time and labor, maximizes workflow, streamlines tasks, improves quality, has a broader test coverage range, and costs less than manual testing.
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