For instance, it can be observing response times when executing a high number of requests, or seeing how the system behaves with a significant of data. Performance tests are by their nature quite costly to implement and run, but they can help you understand if new changes are going to degrade your system. Smoke tests are basic tests that check basic functionality of the application. They are meant to be quick to execute, and their goal is to give you the assurance that the major features of your system are working as expected.
Smoke tests can be useful right after a new build is made to decide whether or not you can run more expensive tests, or right after a deployment to make sure that they application is running properly in the newly deployed environment. An individual can execute all the tests mentioned above, but it will be very expensive and counter-productive to do so.
As humans, we have limited capacity to perform a large number of actions in a repeatable and reliable way. To automate your tests, you will first need to write them programmatically using a testing framework that suits your application. There are many options out there for each language so you might have to do some research and ask developer communities to find out what would be the best framework for you. When your tests can be executed via script from your terminal, you can have them be automatically executed by a continuous integration server like Bamboo or use a cloud service like Bitbucket Pipelines.
These tools will monitor your repositories and execute your test suite whenever new changes are pushed to the main repository. The more features and improvements go into your code, the more you'll need to test to make sure that all your system works properly. And then for each bug you fix, it would be wise to check that they don't get back in newer releases. Automation is key to make this possible and writing tests sooner or later will become part of your development workflow.
So the question is whether it is still worth doing manual testing? The short answer is yes, and it should be focused on what is called exploratory testing where the goal is to uncover non-obvious errors.
An exploratory testing session should not exceed two hours and need to have a clear scope to help testers focus on a specific area of the software.
Once all testers have been briefed, is up to them to try various actions to check how the system behaves. This type of testing is expensive by nature but is quite helpful to uncover UI issues or verify complex user workflows. Smoke Testing This test is done to make sure that software under testing is ready or stable for further testing It is called a smoke test as the testing an initial pass is done to check if it did not catch the fire or smoke in the initial switch on.
Example: If project has 2 modules so before going to module make sure that module 1 works properly. Skip to content. Change Language. Related Articles. Table of Contents. Improve Article. Save Article. Like Article. Introduction:- Testing is the process of executing a program with the aim of finding errors. Still, we tend to plan our testing in specific stages, including:. Not every project will require all types of testing, but every test plan needs to account for all types of testing required.
Still, we tend to plan our testing in specific stages, including: Unit testing —Historically, these tests were performed by the person responsible for creating the unit under test, e. The goal here is to remove functional defects at the lowest level, such as a module or page. In TDD, the test scripts are created before the coding or configuration begins, as part of the design process. All scripts are designed to fail before development begins, and development is only considered complete when all tests pass.
Modern smoke testing is almost always a part of the build process, using the same automated testing packages and a relatively small number of scripts. Regression testing — Every time a change is made to a system, it could potentially break something else. In this, the test engineer will test the module of an application independently or test all the module functionality is called unit testing. The primary objective of executing the unit testing is to confirm the unit components with their performance.
Here, a unit is defined as a single testable function of a software or an application. And it is verified throughout the specified application development phase.
Once we are successfully implementing the unit testing, we will go integration testing. It is the second level of functional testing, where we test the data flow between dependent modules or interface between two features is called integration testing. The purpose of executing the integration testing is to test the statement's accuracy between each module.
Whenever there is a clear relationship between modules, we go for incremental integration testing. Suppose, we take two modules and analysis the data flow between them if they are working fine or not. If these modules are working fine, then we can add one more module and test again. And we can continue with the same process to get better results.
In other words, we can say that incrementally adding up the modules and test the data flow between the modules is known as Incremental integration testing. In this approach, we will add the modules step by step or incrementally and test the data flow between them. We have to ensure that the modules we are adding are the child of the earlier ones.
In the bottom-up approach, we will add the modules incrementally and check the data flow between modules. And also, ensure that the module we are adding is the parent of the earlier ones. Whenever the data flow is complex and very difficult to classify a parent and a child, we will go for the non-incremental integration approach.
The non-incremental method is also known as the Big Bang method. Whenever we are done with the unit and integration testing, we can proceed with the system testing. In system testing, the test environment is parallel to the production environment. It is also known as end-to-end testing. In this type of testing, we will undergo each attribute of the software and test if the end feature works according to the business requirement.
And analysis the software product as a complete system. The next part of black-box testing is non-functional testing. It provides detailed information on software product performance and used technologies. Non-functional testing will help us minimize the risk of production and related costs of the software. Non-functional testing is a combination of performance, load, stress, usability and, compatibility testing.
Non-functional testing categorized into different parts of testing, which we are going to discuss further:. In performance testing, the test engineer will test the working of an application by applying some load. In this type of non-functional testing, the test engineer will only focus on several aspects, such as Response time, Load, scalability, and Stability of the software or an application.
While executing the performance testing, we will apply some load on the particular application to check the application's performance, known as load testing.
Here, the load could be less than or equal to the desired load. It is used to analyze the user-friendliness and robustness of the software beyond the common functional limits. Primarily, stress testing is used for critical software, but it can also be used for all types of software applications. To analysis, the application's performance by enhancing or reducing the load in particular balances is known as scalability testing. In scalability testing, we can also check the system, processes, or database's ability to meet an upward need.
And in this, the Test Cases are designed and implemented efficiently. Stability testing is a procedure where we evaluate the application's performance by applying the load for a precise time.
It mainly checks the constancy problems of the application and the efficiency of a developed product. In this type of testing, we can rapidly find the system's defect even in a stressful situation.
Another type of non-functional testing is usability testing. In usability testing, we will analyze the user-friendliness of an application and detect the bugs in the software's end-user interface. Here, the term user-friendliness defines the following aspects of an application:. In compatibility testing, we will check the functionality of an application in specific hardware and software environments.
Once the application is functionally stable then only, we go for compatibility testing. Here, software means we can test the application on the different operating systems and other browsers, and hardware means we can test the application on different sizes. Another part of manual testing is Grey box testing. It is a collaboration of black box and white box testing. Since, the grey box testing includes access to internal coding for designing test cases. Grey box testing is performed by a person who knows coding as well as testing.
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