What is Manual Testing? Manual Testing is a process of finding out the defects or bugs in a software program. In this method, the tester plays an important role of end-user and verifies that all the features of the application are working correctly.
Here are 100+ manual testing interview questions and answers for testers of all experience levels. If you are preparing for a job change or wish to acquaint yourself with the nitty-gritty of the software testing, do read this post for quick results.
Our team has put a lot of effort into the selection and preparation of these interview questions for manual testers. They have thought through all the answers and tried the best to keep them simple and easy to remember. However, if you like to improve any of the answers or wish to add a new question, then do let us know.
Below are a few interview tips for you. These could help you in presenting yourself with confidence.
The list of most important manual testing interview questions appears next. Read them all to boost your testing concepts.
Software testing is a validation process that confirms that a system works as per the business requirements. It qualifies a system on various aspects such as usability, accuracy, completeness, efficiency, etc. The ANSI/IEEE 1059 is the global standard that defines the basic principles of testing.
It is a mandatory process that is essential to qualify software as usable for production. Here are some compelling reasons to prove why is it needed.
Testing should begin from the inception of the project. Once you get the requirements baselined, System testing plan and test case preparation should start. It also helps in exploring any gaps in the functional requirements.
The testing activity ends after the team completes the following milestones.
Quality assurance is a process-oriented approach to certify a software development (SDLC) method that it is correct and follows the standard procedures. It may bring changes in the process and cause to replace the weak practices if it identifies any. It includes review activities such as the inspection of documents, test cases, source code, and automation, etc.
Quality control is a product-oriented approach to qualify that the product under development meets the original software specifications. It also results in changes to the product. For example – if there are bugs in the system or some deviation observed in the implementation. It includes different types of testing to perform, which are functional (unit, usability, integration, etc.) and non-functional (compatibility, security, performance, etc.).
In software testing, the verification is a means to confirm that product development is taking place as per the specifications and using the standard development procedures. It comprises of the following activities.
In software testing, validation is a means to confirm that the developed product doesn’t have any bugs and working as expected. It comprises of the following activities.
Read details from here – Static and Dynamic Testing
White Box Testing has many names such as Glass Box, Clear Box, or Structural Testing.
It requires the testers to gain a code-level perspective, design cases to exploit code, and find potential bugs.
Black Box Testing is a standard software testing approach that requires testers to assess the functionality of the software as per the business requirements. They treat the software as a black box and validate it as per the end-user point of view.
It applies to all levels of software testing such as Unit, Integration, System, or Acceptance Testing.
The purpose of this testing is to ensure whether the system is confirming to the requirements or not.
The purpose of this testing is to identify what the system should not do. It helps uncover potential flaws in the software.
Test strategy is an approach to carry out the testing activity.
It covers the following:
It is the responsibility of a Test Lead or Testing Manager to create the Test Plan document.
A test plan captures all possible testing activities to guarantee a quality product. It gathers data from the product description, requirement, and use case documents.
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The test plan document includes the following:
The difference between the Master Plan and Test Plan can be described using the following points.
1. Master Test Plan contains all the test scenarios and risks prone areas of the application. Whereas, the Test Plan document contains test cases corresponding to test scenarios.
2. Master Test Plan captures every test to be run during the overall development of the application, whereas the test plan describes the scope, approach, resources, and schedule of performing the execution.
3. MTP includes test scenarios for all the phases of the application development lifecycle. Whereas, a separate test plan also exists for the Unit, Functional, and System testing, which includes cases specific to related areas.
4. A Master Test Plan suffices for big projects which require execution in all phases of testing. However, preparing a basic Test Plan is enough for small projects.
A test case is a sequence of actions and observations that are used to verify the desired functionality.
A good test case helps to identify problems in the requirements or design of an application.
Test Scenario represents a condition or a possibility which defines what to test.
It can have multiple test cases to cover a scenario.
A test case is a testing artifact to verify a particular flow with defined input values, test preconditions, expected output, and postconditions prepared to cover specific behavior.
A test scenario can have one or many associations with a test case, which means it can include multiple test cases.
A test suite is a group of test cases. Each test case intends to test the application functionality.
It refers to a test set up, which includes necessary H/W, S/W, N/W, AUT, and any dependency software.
Test Environment mostly refers to the essential hardware and software required to perform testing.
Test data is a set of input values required to execute the test cases. Testers define the test data according to the test requirements. They can do it manually or use generation tools.
For example, if a tester is validating a graphics tool, then he would need to procure relevant data for the graph generation.
A test harness is a set of scripts and demo data that tests an application under variable conditions and observes its behavior and outputs.
It emphasizes on running the test cases randomly rather than in a sequence.
Test coverage is a quality metric to represent the amount (in %) of testing completed for a software product.
It is applicable for both functional and non-functional testing activities. This metric helps testers to add missing test cases.
Code coverage is another software engineering metric that represents the amount (in %) of code covered from unit testing.
It helps developers to add test cases for any missing functionality.
No, it’s not possible to perform 100% testing of any product. But you can follow the below steps to come closer.
Here are a few other documents to prepare.
BRD provides a complete business solution for a project, including the documentation of customer needs and expectations.
BRD fulfills the following objectives.
Unit Testing has many names, such as Module Testing or Component Testing.
It is mostly the developers who test individual units or modules to check if they are working correctly.
Integration Testing validates how well two or more units of software interact with each other.
There are three ways to validate integration.
The test driver is a piece of code that calls a software component under test. It is useful in testing that follows the bottom-up approach.
Test stub is a dummy program that integrates with an application to complete its functionality. These are relevant for testing that uses the top-down approach.
Let’s take an example.
1. Let’s say there is a scenario to test the interface between modules A and B. We have developed only module-A. Then we can check module-A if we have real module-B or a dummy module for it. In this case, we call module-B as the Test Stub.
2. Now, module-B can’t send or receive data directly from module-A. In such a scenario, we’ve to move data from one module to another using some external features called Test Driver.
It means to merge all the modules after testing of individual modules and verify the functionality.
It involves the use of dummy modules such as Stubs and Drivers. They make up for missing components to simulate data exchange.
Testing goes from top to bottom. It first validates the High-level modules and then goes for low-level modules.
Finally, it tests the integrated modules to ensure the system is working as expected.
It is a reverse of the Top-Down method. In this, testing occurs from bottom to up.
It first tests the lowest level modules and then goes for high-level modules. Finally, it verifies the integrated modules to ensure the system is working as expected.
It is the last testing activity that tests the fully integrated application and confirms its compliance with business requirements.
Alternatively, we call it as End to End testing. It verifies the whole system to ensure that the application is behaving as expected.
No. System testing should start only if all modules are in place and work correctly. However, it should happen before the UAT (User Acceptance testing).
Following is the list of various testing types used by manual testers.
Smoke testing confirms the basic functionality works for a product. It requires you to identify the most basic test cases for execution.
Sanity testing ensures that the product runs without any logical errors. For example, if we are testing a calculator app; we may multiply a number by three and check whether the sum of the digits of the answer is divisible by 3.
Exploratory testing is a process that lets a tester concentrate more on execution and less at planning.
It is a testing method that proposes to raise an input signal until the system breaks down.
It ensures that the program must recover from any expected or unexpected events without loss of data or functionality.
Events could be like a shortage of disk space, unexpected loss of communication, or power out conditions.
Reliability testing is a testing strategy to measure the consistency of a Software in executing a specific operation without throwing any error for a certain period in the given environment.
Example:
The probability that a Server class application hosted on the cloud is up and running for six long months without crashing is 99.99%. We refer to this type of testing as reliability.
Globalization testing concentrates on detecting the potential problems in the product design that could spoil globalization. It certifies that the code can handle the desired international support without breaking any functionality. And also, it ensures that there would be no data loss and display problems.
Agile testing is a software testing process that evaluates software from the customer’s point of view. It is beneficial because this does not require Dev to complete coding for starting QA. Instead, the coding and testing both go hand in hand. However, it may require continuous customer interaction.
It is one of the white-box testing techniques.
Data Flow Testing emphasizes for designing test cases that cover control flow paths around variable definitions and their uses in the modules. It expects them to have the following attributes:
1. The input to the module
2. The control flow path for testing
3. Pair of an appropriate variable definition and its use
4. The expected outcome of the test case
API is an acronym for Application Programming Interface. It gives users access to public classes, functions, and member variables for calling them from external applications. It lays down a model for components to being interaction with each other.
API testing comprises of three parts:
1. Data-tier (database)
2. Business logic tier (PHP/J2EE)
3. Presentation tier (UI)
API testing is also a white-box testing method. It makes use of the code and a programming tool to call the API. It ignores the UI layer of the application and validates the path between the client and the API. The client software forwards a call to the API to get the specified return value. API testing examines whether the system is responding with the correct status or not.
API testing got carried out by the testers to confirm the system from end to end. They don’t have permission to get to the source code but can use the API calls. This testing covers authorization, usability, exploratory, automated, and document validation.
Alpha testing is an in-house and developer-driven testing approach. Sometimes the client also does it, and in some cases, it may get outsourced.
Beta testing happens at the end-users premises. It is to ensure customer feedback before final delivery.
Gamma testing happens after the software is available for release with itemized requirements.
It skips the in-house testing activities and executes it at the client end.
Read the following points to know the difference between Pilot and Beta testing.
1. We do the beta test when the product is about to release to the customer, whereas pilot testing takes place in the earlier phase of the development cycle.
2. In the beta test, the testing application is given to a few users to make sure that it meets the customer requirements and does not contain any showstopper bug. Whereas, in the pilot test, few members of the testing team visit the customer site to set up the product. They give their feedback also to improve the quality of the end product.
The majority of software testers knew about the grey, black, and white box testing. Let’s see what all color box testings are available.
1. White box tests
2. Black box checking
3. Grey box testing
4. Glass box tests
5. Red box scripts
6. Yellow box testing
7. Green box checking
Structured testing is often get called the basis path testing. It got invented by Tom McCabe.
1. The control flow graph should get derived from the system component.
2. The Cyclomatic Complexity of the chart should get considered.
3. A group of C basis paths should get identified.
4. Defining test cases for every basis path is necessary.
5. The execution should include all the established test cases.
High availability shows the ability of a system or a component to operate continuously without failure even at high loads for a long time.
Hence, the High availability testing confirms that a system or its sub-systems have gone through thorough checks and. Also, in many cases, it simulates failures to validate whether components support redundancy or not.
A baseline is the indicator of a specific benchmark that serves as the foundation of a new creation.
In Baseline testing, the tests capture and preserve all the results produced by the source code, and compare against a reference baseline. This reference baseline refers to the last accepted test results. If there are new changes in the source code, then it requires re-execution of tests to form the current baseline. If the latest results get accepted, then the current baseline becomes the reference.
Failover testing is a test strategy to evaluate how a software allocates resources and switch operations to backup systems for preventing operational failures.
Gorilla Testing is a testing strategy where testers collaborate with developers as a joint force for validating a target module thoroughly from all ends.
End to End Testing is a testing strategy to execute tests that cover every possible flow of an application from its start to finish. The objective of performing end-to-end tests is to discover software dependencies and to assert that the correct input is getting passed between various software modules and sub-systems.
It is a test case design technique in which testers have to guess the defects that might occur and write test cases to represent them.
It is the process of adding known bugs in a program for tracking the rate of detection & removal. It also helps to estimate the number of faults remaining in the program.
When a bug shows up, we can follow the below steps.
Here are the two principal reasons that make it impossible to test a program entirely.
The following types of bugs lie under the non-reproducible category.
1. Defects observed due to low memory issue
2. Issues raised due to address pointing to a memory location that does not exist.
3. The race condition is an error scenario that occurs when the timing of one event impacts another executing in a sequence.
A tester can take the following actions to handle the non-reproducible bugs.
1. Execute test steps that are close to the error description.
2. Evaluate the test environment.
3. Examine and evaluate test execution results.
4. Keep the resources & time constraints under check.
If the requirement spec is not available for a product, then a test plan can be created based on the assumptions made about the product. But we should get all assumptions well documented in the test plan.
First of all, we’ll check if every requirement has at least one test case covered. If yes, then we can say that there are enough test cases to test the product.
It is advisable to perform regression testing and run tests for all of the other modules as well. Finally, the QA should carry out System testing.
A traceability matrix is an intuitive tool that ensures the requirements mapped to the test cases. When the execution of all test cases finishes with a success, it indicates that the code has met the requirements.
Requirement Traceability Matrix (RTM) is a document that records the mapping between the high-level requirements and the test cases in the form of a table.
That’s how it ensures that the Test Plan covers all the requirements and links to their latest version.
Gap analysis reveals any deviation between the features available for testing and how the customer perceives them to be.
A traceability matrix is a testing tool that testers can use to track down the gaps.
Risk analysis is a technique to identify the things that can go wrong in a software development project. They can negatively impact the scope, quality, timeliness, and cost of a project.
However, everyone involved in the project has a part in minimizing the risk. But it’s the leader who ensures that the whole team understands the individual role in managing the risk.
Risk analysis is the process of identifying the hidden issues that may derail the successful delivery of the application. It also prioritizes the sequence of resolving the identified risks for testing purposes.
The following are some of the risks that are of concern to the QA.
1. New Hardware
2. New Technology
3. New Automation Tool
4. The sequence of code delivery
5. Availability of test resources for the application
We prioritize them into three categories, which are as follows.
1. High importance: Impact of the bug is high on the other functionality of the application
2. Medium: It is somewhat bearable but not desirable.
3. Low: It is tolerable. This type of risk has no impact on the company business.
The difference between coupling and cohesion is as follows.
The Capability Maturity Model for Software (CMM or SW-CMM) is a model for assessing the maturity of the software processes of an organization.
It also lists down some of the standard practices that increase the maturity of these processes.
It is a graphical representation of inputs and the associated outputs effects which assist in designing test cases.
It’s a group-level review and quality improvement process for the product documents. It focuses on the following two aspects.
Functional testing is a software testing methodology that ensures that the application under test has all the functionality working as per the specifications provided.
Functional testing covers the following types of validation techniques.
1- Unit Testing
2- Smoke testing
3- Sanity testing
4- Integration Testing
5- Interface Testing
6- System Testing
7- Regression Testing
8- UAT
Functional testing sees the application under test as a black-box. We, as a tester, first of all, write down the use cases for all the possible workflows of the said features.
After that, we verify the functionality by exercising all the said features, their options, and ensure that they behave as expected.
We use the Unified Functional Testing (UFT) tool developed by HP (Hewlett Packard) for both the functional and regression testing.
This tool makes use of Visual Basic (VB) scripting to automate the functional workflows. It allows us to integrate manual, automated as well as framework-based test scripts in the same IDE.
Functional test cases are those that confirm that the application executes a specified business function. Most of these tests take the form of user or business cases that resemble the standard transactions.
Non-functional testing is done to validate the non-functional aspects (such as performance, usability, reliability) of the application under test.
It validates the readiness of a system as given in the nonfunctional specification and never got addressed in functional testing.
The functional requirements specify the behavior or function. Some of these are as follows:
The non-functional requirements specify how the system should behave. Some of these are as follows:
In Software engineering terms, a non-functional requirement (NFR) is one that lays down the criteria for assessing the operation of a system, rather than general behavior. They often get called System’s Quality Attributes.
On the other hand, functional requirements are those that cover the technical aspect of the system.
The software development life cycle is SDLC, which is a standard development framework and the foundation for the processes like Waterfall, Spiral, V Model, and Agile.
It breaks down the entire development into multiple stages known as the SDLC phases like requirement collection, analysis, design, implementation/coding, testing/validation, deployment, and finally, the maintenance.
The STLC is an acronym for the Software Testing Life Cycle. It is a testing model that proposes to execute test execution in a systematic and planned way. In the STLC model, many activities occur to improve the quality of the product.
The STLC model lays down the following steps:
1. Requirement Analysis
2. Test Planning
3. Test Case Development
4. Environment Setup
5. Test Execution
6. Test Cycle Closure
The requirement analysis (RA) is the first stage of the STLC model. In this step, the testing team learns what to test & determine the testable requirements. If some specifications are not precise or have a disagreement, then the stakeholders like business analyst (BA), architects, customers provide clarity.
The test team performs the following tasks during the RA phase.
1. Provide a questionnaire for the customer-facing people.
2. List down the priority areas for testing.
3. Gather test environment details for carrying out the testing tasks.
4. Evaluate the possibility of test automation and prepare a report.
The second phase of STLC is test planning. It is a crucial step as the team here defines the whole testing strategy for the project. Hence, it gets also known as the Test strategy phase.
In this stage, the test lead has to get the effort and cost estimation done for the whole project. This phase starts soon after the RA phase gets over. The outcomes of the TP include the Test Planning & Effort estimation documents. After the planning ends, the testing team can begin writing the test case development tasks.
The test team performs the following tasks during the TP phase.
1. Provide a written objective & scope for the STLC cycle.
2. Mention the testing types to cover.
3. Estimate testing efforts and resource requirements.
4. Select the testing tools required.
5. Confirm the test infra requirements.
6. List down the testing schedule and set milestones.
7. Prepare the summary of the entire testing process.
8. Create a control policy.
9. Assign roles and responsibilities.
10. Outline the testing deliverables.
11. Conclude the entry criteria, suspension/resumption criteria, and exit conditions.
12. Mark the expected risks.
The testing team picks on the test case development tasks once the test planning (TP) phase is over. In this stage of STLC, the principal activity is to write down specific test cases for the requirements. While performing this task, they also need to prepare the input data required for testing. Once the test plan is ready, it needs to be reviewed by senior members or the lead.
One of the documents that the team has to produce is the Requirement Traceability Matrix (RTM). It is an industry-wide standard for ensuring the test case gets correctly mapped with the requirement. It helps in tracking both the backward & forward direction.
The test team performs the following tasks during the TCD phase.
1. Write test cases.
2. Produce scripts for automation testing (Optional).
3. Gather test data required for test execution.
It is a time-consuming yet crucial activity in the STLC to prepare the test environment. Only after the test setup is available, the team can determine which conditions the application would go through testing.
It is an independent task and can go in parallel with the test case writing stage. The team or any member outside the group can also help in setting up the testing environment. In some organizations, a developer or the customer can also create or provide the testing beds. Simultaneously, the test team starts writing the smoke tests to ensure the readiness of the test infra.
The test team performs the following tasks during the TES phase.
1. Assess the need for new Software & hardware requirements.
2. Prepare the test infra.
3. Execute smoke tests and confirms the readiness of the test infra.
After the testing infra is ready, the test execution phase can start. In this stage, the team runs the test cases as per the test plan defined in the previous steps.
If a test case executes successfully, the team should mark it as Passed. If some tests have failed, then the defects should get logged, and the report should go to the developer for further analysis. As per the books, every error or failure should have a corresponding defect. It helps in tracing back the test case or the bug later. As soon as the development team fixes it, the same test case should execute and report back to them.
The test team performs the following tasks during the TE phase.
1. Execute tests as per the test planning.
2. Provide test execution status showing the passed, failed, skipped statistics.
3. Create defects for failed cases and assign them to dev for resolution.
4. Perform re-execution of test cases which have got the defect fixes.
5. Make sure the defects get closed.
The testing team calls upon the meeting to evaluate the open defects, known issues, code quality issues, and accordingly decides on the closure of the test cycle.
They discuss what went well, where is the need for improvement, and notes the pain points faced in the current STLC. Such information is beneficial for future STLC cycles. Each member puts his/her views on the test case & bug reports and finalizes the defect distribution by type and severity.
The test team performs the following tasks during the TCC phase.
1. Define closure criteria by reviewing the test coverage, code quality., the status of the business objectives, and test metrics.
3. Produce a test closure report.
4. Publish best practices used in the current STLC.
A fault is a condition that makes the software to fail while executing the intended function.
An error represents a problem in a program that arises unexpectedly and causes it not to function correctly. An application can encounter either software errors or network errors.
A failure represents the incompetence of a system or component in executing the intended function as per its specification.
It could also happen in a customer environment that a particular feature didn’t work after product deployment. They would term it as product failure.
A bug is usually the same as the defect. Both of them represent an unexpected behavior of the software.
However, an error would also fall in the same category. But in some cases, errors are fixed values.
For example – 404/405 errors in HTML pages.
A slip in the coding indicates an Error. The error discovered by a manual tester becomes a Defect. The defect which the dev team admits known as a Bug. If a build misses on the requirements, then it is a functional failure.
Read –Â Difference between Defect, Error, Bug, Failure, and Fault
Defect Life Cycle also has another name as Bug Life Cycle.
Defect Life Cycle is the representation of the different states of a defect which it attains at different levels during its lifetime. It may have variations from company to company or even get customized for some projects as the software testing process drives it to not getting out of the way.
Defect leakage occurs at the Customer or the End-user side after the product delivery. If the end-user sees an issue in the application, then such bugs lead to Defect leakage. And this process of finding bugs is also called as Bug Leakage.
The severity of a bug can be low, medium, or high, depending on the context.
Severity represents the impact of a defect in the development or on a component in the application under test. It usually is an indication of financial loss or cost to the environment or business reputation.

On the contrary, the Priority of a defect shows the urgency of a bug yet to get a fix. For example – a bug in a server application blocked it from getting deployed on the live servers.
Defect density is a way to measure the no. of defects found in a product during a specific test execution cycle. It gets determined by dividing the defect count found with the size of the software or component.
KLOC (thousands of lines of code) is the unit used to measure the defect density.
Defect Detection Percentage (DDP) is a type of testing metric. It indicates the effectiveness of a testing process by measuring the ratio of defects discovered before the release and reported after release by customers.
For example – let’s say the QA logged 70 defects during the testing cycle, and the customer reported 20 more after the release. The DDP would come to 72.1% after the calculation as 70/(70 + 20) = 72.1%.
Defect Removal Efficiency (DRP) is a type of testing metric. It is an indicator of the efficiency of the development team to fix issues before the release.
It gets measured as the ratio of defects fixed to total the number of issues discovered.
For example – let’s say that there were 75 defects discovered during the test cycle, while 62 of them got fixed by the dev team at the time of measurement. The DRE would come to 82.6% after the calculation as 62/75 = 82.6%.
Test Case Efficiency (TCE) is a type of testing metric. It is a clear indicator of the efficiency of the test cases getting executed in the test execution stage of the release. It helps in ensuring and measuring the quality of the test cases.
Test Case Efficiency (TCE) => (No. of defects discovered / No. of test cases executed)* 100
Defect age is the time elapsed between the day the tester discovered it, and the day the developer got this fixed.
While estimating the age of a defect, consider the following points.
1. The day of birth for a Defect is the day it got assigned and accepted by the dev.
2. The issues which got dropped are out of the scope.
3. The age can be both in hours or days.
4. The end time is the day got verified and closed, not just fixed by the dev.
Defect clustering is a situation in testing which could arise if either most of the software bugs got discovered only in a handful of modules or the software fails to operate frequently.
The pesticide paradox is a situation in software testing when the same tests get repeated over and over again until they are no longer able to find new bugs.
In software testing, the Pareto Principle refers to the notion that 80% of all bugs happen to be in the 20% of the program modules.
Following is the list of ways to exercise Pareto Principle in software testing:
1. Arrange the defects based on their causes, not via consequences. Don’t club bugs that yield the same outcome. Prefer to group issues depending on what module they occur.
2. Collaborate with the dev team to discover new ways to categorize the problems. E.g., use the same static library for the components which counted for the most bugs.
3. Put more energy into locating the problem areas in the source code instead of doing a random search.
4. Re-order the test cases and pick the critical ones first to begin.
5. Pay attention to the end-user response and assess the risk areas around.
In software testing, the cyclomatic complexity represents a test metric known as the program complexity. This method got introduced by Thomas J. McCabe in the year 1976. It sees a program as a graph using the control flow representation.
The graph includes the following attributes:
1. Nodes – A node indicates the processing tasks
2. Edges – An edge shows the control flow between the nodes.
1. It gets to find the independent path for test execution.
2. It proposes that the test should cover all the branches once.
3. It gives space to concentrate on the untested paths.
4. It guarantees better code coverage.
5. It determines the risks associated with a program.
6. It aims to minimize the probable risks.
Here are some facts about the Silk tool.
1. It’s a tool developed for performing the regression and functionality testing of the application.
2. It benefits when we are testing Window-based, Java, the web, and the traditional client/server applications.
3. Silk Test help in preparing the test plan and managing them to provide the direct accessing of the database and validation of the field.
Automation Testing is a process of executing tests automatically. It reduces the human intervention to a great extent. We use different test automation tools like QTP, Selenium, and WinRunner. These tools help in speeding up the testing tasks.
Using the above tools, we can create test scripts to verify the application automatically. After completing the test execution, these tools also generate the test reports.

The choice of automated testing over manual testing depends on the following factors.
1. Tests require periodic execution.
2. Tests include repetitive steps.
3. Tests execute in a standard runtime environment.
4. Automation is expected to take less time.
5. Automation is increasing reusability.
6. Automation reports are available for every execution.
7. Small releases like service packs which include a minor bug fix. In such cases, executing the regression tests is sufficient for validation.
Every QA or Test Lead should have the following qualities.
1. Well-versed in software testing processes.
2. Ability to accelerate teamwork to increase productivity.
3. Improve coordination between QA and Dev engineers.
4. Provide ideas to refine the QA processes.
5. Ability to conduct RCA meetings and draw conclusions.
6. Excellent written and interpersonal communication skills.
7. Quick learner and able to groom the team members.
Apart from the above 100+ manual testing interview questions, you might like to check out the below posts. These provide some of the best technical questionnaires for Senior test engineers.
+Top 20 QA Interview Questions and Answers
+Must Know Interview Questions for SSE/Test Lead
+Software Testing Interview Questions and Answers – Part1
+Software Testing Interview Questions and Answers – Part2
We always try that our study material could help you the most in your work. That’s why we came up with this blog post on the top manual testing interview questions for both the beginner and the experienced test engineers.
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TechBeamers