- What experience do you have with creating test cases and developing testing strategies?
- How do you ensure that automated tests are reliable and accurately reflect software quality?
- Can you explain your experience with regression testing and how you prioritize regression tests?
- What is your experience with Selenium and Appium?
- Can you describe a time when you encountered a complex software bug and how you went about debugging it?
- How do you approach collaborating with software development teams to ensure software quality?
- Can you explain your experience with testing mobile applications and how it differs from testing web applications?
- How do you prioritize and manage your workload when dealing with multiple projects and deadlines?
- Can you provide an example of a successful project you have completed and how you contributed to its success?
- How do you ensure that your testing is consistent and meets the requirements of the project?
Sure! Here is a coding challenge with accompanying test cases for a software quality assurance engineer position:
Coding Challenge: Create a function called sum_multiples
that takes two positive integers, x
and y
, and returns the sum of all multiples of x
and y
up to 1000. For example, sum_multiples(3, 5)
should return 233168
because the sum of all multiples of 3 and 5 up to 1000 is 3 + 5 + 6 + 9 + 10 + ... + 999.
Here is a skeleton function for you to start with:
pythondef sum_multiples(x, y):
# Your code here
Test Cases:
Here are some test cases to help you validate the function. You can add more test cases if needed:
javaassert sum_multiples(3, 5) == 233168
assert sum_multiples(2, 8) == 14264
assert sum_multiples(7, 13) == 5335
assert sum_multiples(10, 10) == 5500
assert sum_multiples(1, 1) == 499500
Note: Make sure to check the input arguments x
and y
are positive integers greater than zero. If they are not, the function should raise a ValueError with a suitable error message.
Sure! Here is a written test with 20 questions that covers various aspects of Software Quality Assurance Engineer (SQAE) position:
Section 1: Fundamentals of Software Testing
- What is the difference between verification and validation?
- What is a test plan, and what does it typically include?
- What is the difference between functional and non-functional testing?
- What is exploratory testing, and when is it typically used?
- What is a test case, and what does it typically include?
Section 2: Test Automation
- What are the benefits of test automation, and what are some common challenges with test automation?
- What is Selenium, and how is it used in test automation?
- What is Appium, and how is it used in mobile application testing?
- What is a regression test suite, and why is it important in test automation?
- What is continuous integration, and how does it relate to test automation?
Section 3: Performance and Security Testing
- What is performance testing, and what are some common performance testing tools?
- What is security testing, and what are some common security testing techniques?
- What is load testing, and how is it different from stress testing?
- What is penetration testing, and how is it different from vulnerability scanning?
- What is OWASP, and how does it relate to software security testing?
Section 4: Software Development Process
- What is the Agile software development process, and how does it differ from Waterfall?
- What is the role of a SQAE in the software development process?
- What is DevOps, and how does it relate to software quality?
- What is a defect tracking system, and what are some common defect tracking tools?
- What is the role of risk management in software quality assurance?
Note: You can adjust the difficulty level of these questions based on the experience level and expertise of the candidates you are testing.
Sure, here are some questions related to testing and test case writing:
- What is the difference between manual testing and automated testing?
- What is a test case, and what elements should be included in a test case?
- Can you explain boundary value analysis, and provide an example of how it can be used in test case design?
- What is the difference between positive testing and negative testing?
- Can you explain the difference between white box testing and black box testing?
- Can you provide an example of a situation where exploratory testing would be more effective than scripted testing?
- What is regression testing, and how does it differ from functional testing?
- What is a defect, and what elements should be included in a defect report?
- Can you explain equivalence partitioning, and provide an example of how it can be used in test case design?
- Can you explain the difference between integration testing and system testing?
- Can you provide an example of a test case for a login page?
- Can you provide an example of a test case for a search function?
- Can you explain the difference between smoke testing and sanity testing?
- Can you explain the difference between static testing and dynamic testing?
- Can you explain the difference between verification and validation in testing?
Sure, here is a programming challenge that involves test case writing:
Programming Challenge: Write a Python function called validate_email
that takes a string argument representing an email address and returns a boolean value indicating whether the email address is valid or not. The function should return True
if the email address is valid and False
otherwise. An email address is considered valid if it meets the following requirements:
- It contains only one
@
symbol. - It contains at least one character before the
@
symbol. - It contains at least one character after the
@
symbol. - The domain name (the part after the
@
symbol) contains at least one period.
character.
Here is a skeleton function for you to start with:
pythondef validate_email(email):
# Your code here
Test Cases:
Here are some test cases to help you validate the function. You can add more test cases if needed:
javaassert validate_email('[email protected]') == True
assert validate_email('[email protected]') == True
assert validate_email('[email protected]') == True
assert validate_email('testexample.com') == False
assert validate_email('test@') == False
assert validate_email('test@@example.com') == False
assert validate_email('test@examplecom') == False
Note: Make sure to check for edge cases and invalid inputs, and handle them appropriately.