Table of Contents
- What are alpha and beta testing?
- Examples of alpha testing
- Beta testing
- Alpha and beta testing: pros and cons
- Alpha testing
- Beta testing
- Alpha testing vs. beta testing
- How to use Bugpilot for successful alpha and beta test cycles
- Bugpilot creates precise bug reports
- Gain a deeper understand of the problem
- Fix code quicker
- Use Bugpilot to get rid of as many bugs as possible before go live
- Phase one: During the alpha testing phase, developer and software engineering teams typically use debugging tools to help them understand code behavior. Lots of bugs, defects, and system crashes are expected, along with other problems like discovering missing features and documentation.
- Phase two: The QA team typically performs the second phase and executes a series of black-box and white-box tests, which we’ll go over in the next section.
- Functional: tests to verify whether the most critical aspects of the software deliver correct functionality. For example, to confirm that users are unable to sign in using incorrect credentials.
- Non-functional: checks to see how specific functions are performed. These tests can confirm browser and device compatibility, for instance—or how the system performs under peak and expected load.
- Regression: inspects whether additional functionality or changes has created a problem elsewhere in the system.
- Equivalence class testing: it would be impossible to test all scenarios, so this technique reduces the number of possible test cases to an achievable amount while preserving test coverage.
- Boundary value testing: determines how well the system handles specific value ranges.
- Decision table testing: is a testing matrix table with different combinations in each column that test for cause and effect.
- Integration testing: this checks whether system components work as expected when integrated.
- Unit testing: inspects small pieces of code that can be logically separated to ensure it performs as expected.
- Penetration testing: gains assurance in the system's security by attempting to breach some or all of it.
- Statement coverage: verifies that all possible code statements are executed at least once. It includes all lines, paths, and statements in the code.
- Multiple condition coverage: checks that all possible combinations of outcome conditions in every decision, and all entry points are triggered at least once.
- Decision or Branch coverage: this inspects all possible paths. Do conditional loops and if-else statements work efficiently? What causes the system to crash?
- Traditional beta testing: the software is given to your end-users, and information on all aspects of the system is gathered from their testing for product improvements.
- Public beta testing: the software is released to production to collect user data for product improvements. Beta software releases are common. For example, Microsoft often releases beta versions of its software before the real thing.
- Technical beta testing: the type is performed by internal teams to collect data and feedback.
- Focused beta testing: the product is made live to gather data on how key functionality operates.
- Post-release beta testing: the product is released to production to collect data for improvements in future releases.
- Offers thorough and adequate testing
- Finds out early how reliable the software is
- Helps to get the product delivered quicker/on time
- Finds bugs that will cost your SaaS business more to fix later
- It can turn into a lengthy test execution period
- Requires a separate test environment
- Some tests are impossible and can't offer real-world results since they are performed in a virtual environment
- Reduces the risk of a failure through customer validation
- Customer feedback helps to improve the quality
- It tests the post-release infrastructure
- Helps develop good customer relationships
- Finds out how ready the system is before it's released
- Beta testers must know how to use the software
- Bug and defect tickets duplication is common
- It may be challenging to maintain participation throughout
Alpha testing is the first phase of user acceptance testing for customer validation. It takes place after initial testing when the software is considered 60%-80% complete.
Beta testing is the second phase of user acceptance testing for customer validation. It comes after the alpha phase when the platform is considered approximately 80-90% complete.
Testing and software engineering teams usually execute alpha tests.
The customer performs beta testing.
Alpha testing typically takes place at the development site using test environments.
Beta testing is at the customer site, in the production environment.
Type of testing
The main focus is the technical aspects of the system, for example, inputs and outputs, security, infrastructure, and reliability.
The main focus is usability, functionality, and UX.
White-box and black-box testing.
Only black-box testing.
To evaluate the software and code quality. Does it work as per the requirements? Alpha testing preps the system for the beta phase.
They offer users a guided tour of the product, to find out how they feel about using it. Their likes, dislikes, and suggestions. Beta testing ensures production readiness.
Test cycle length
Each test cycle lasts 1 - 2 weeks.
Each test cycle lasts 3-6 weeks with just 1-2 cycles.