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. It's something especially worth doing whenever a significant new capability is added to your application to help understand how it behaves under edge cases.
To finish this guide, it's important to talk about the goal of testing. While it's important to test that users can use your application I can log in, I can save an object it is equally important to test that your system doesn't break when bad data or unexpected actions are performed. You need to anticipate what would happen when a user makes a typo, tries to save an incomplete form or uses the wrong API.
You need to check if someone can easily compromise data, get access to a resource they're not supposed to. A good testing suite should try to break your app and help understand its limit. And finally, tests are code too! So don't forget them during code review as they might be the final gate to production.
I've been in the software business for 10 years now in various roles from development to product management. After spending the last 5 years in Atlassian working on Developer Tools I now write about building software.
Outside of work I'm sharpening my fathering skills with a wonderful toddler. Continuous delivery Software testing Types of software testing.
The different types of software testing Compare different types of software testing, such as unit testing, integration testing, functional testing, acceptance testing, and more! It is typically made by the automation testing teams. It is usually performed by QA teams. Read More on Destructive Testing. Dynamic Testing: Term used in software engineering to describe the testing of the dynamic behavior of code.
It is typically performed by testing teams. Read More on Dynamic Testing. Domain Testing: White box testing technique which contains checkings that the program accepts only valid input. It is usually done by software development teams and occasionally by automation testing teams.
Error-Handling Testing: Software testing type which determines the ability of the system to properly process erroneous transactions. End-to-end Testing: Similar to system testing, involves testing of a complete application environment in a situation that mimics real-world use, such as interacting with a database, using network communications, or interacting with other hardware, applications, or systems if appropriate. Read More on End-to-end Testing.
Endurance Testing: Type of testing which checks for memory leaks or other problems that may occur with prolonged execution. It is usually performed by performance engineers.
Read More on Endurance Testing. Exploratory Testing: Black box testing technique performed without planning and documentation. It is usually performed by manual testers.
Read More on Exploratory Testing. Equivalence Partitioning Testing: Software testing technique that divides the input data of a software unit into partitions of data from which test cases can be derived. Read More on Equivalence Partitioning Testing.
Fault injection Testing: Element of a comprehensive test strategy that enables the tester to concentrate on the manner in which the application under test is able to handle exceptions. Formal verification Testing: The act of proving or disproving the correctness of intended algorithms underlying a system with respect to a certain formal specification or property, using formal methods of mathematics.
Functional Testing: Type of black box testing that bases its test cases on the specifications of the software component under test. Read More on Functional Testing. Fuzz Testing: Software testing technique that provides invalid, unexpected, or random data to the inputs of a program — a special area of mutation testing. Fuzz testing is performed by testing teams. Read More on Fuzz Testing.
Gorilla Testing: Software testing technique which focuses on heavily testing of one particular module. It is performed by quality assurance teams, usually when running full testing. Gray Box Testing: A combination of Black Box and White Box testing methodologies: testing a piece of software against its specification but using some knowledge of its internal workings. It can be performed by either development or testing teams.
It is performed by development teams. GUI software Testing: The process of testing a product that uses a graphical user interface, to ensure it meets its written specifications. This is normally done by the testing teams. Read More on Globalization Testing. Hybrid Integration Testing: Testing technique which combines top-down and bottom-up integration techniques in order leverage benefits of these kind of testing.
Integration Testing: The phase in software testing in which individual software modules are combined and tested as a group. It is usually conducted by testing teams. Read More on Integration Testing.
Interface Testing: Testing conducted to evaluate whether systems or components pass data and control correctly to one another. It is usually performed by both testing and development teams. Read More on Interface Testing. Inter-Systems Testing: Testing technique that focuses on testing the application to ensure that interconnection between application functions correctly. It is usually done by the testing teams. Keyword-driven Testing: Also known as table-driven testing or action-word testing, is a software testing methodology for automated testing that separates the test creation process into two distinct stages: a Planning Stage and an Implementation Stage.
It can be used by either manual or automation testing teams. Read More on Keyword-driven Testing. Load Testing: Testing technique that puts demand on a system or device and measures its response. It is usually conducted by the performance engineers. Read More on Load Testing. It is normally done by the testing teams. Read More on Localization Testing.
Loop Testing: A white box testing technique that exercises program loops. Read More on Loop Testing. Manual Scripted Testing: Testing method in which the test cases are designed and reviewed by the team before executing it. It is done by Manual Testing teams. Manual-Support Testing: Testing technique that involves testing of all the functions performed by the people while preparing the data and using these data from automated system. Model-Based Testing: The application of Model based design for designing and executing the necessary artifacts to perform software testing.
Save Article. Improve Article. Like Article. Introduction:- Testing is the process of executing a program with the aim of finding errors. Next Software Testing Basics. Recommended Articles. Article Contributed By :. Easy Normal Medium Hard Expert. Writing code in comment? When the team resolves issues before the product reaches the customer, the quality of the deliverable increases.
When customers use the product, they are bound to reveal some sort of personal information. To prevent hackers from getting hold of this data, security testing is a must before the software is released. When an organization follows a proper testing process, it ensures a secure product that in turn makes customers feel safe while using the product. For instance, banking applications or e-commerce stores need payment information.
The other part of security is not losing your data. You also probably have your photos and files stored on iCloud or Google drive. What if something goes wrong and you lose all your data? The days are gone when customers worked exclusively on hefty desktops. The tester must check whether the website runs on different device resolutions. Additionally, it should also run on different browsers. Another reason why testing is gaining more importance is ever-increasing browser options.
What works fine on Chrome may not run well on Safari or Internet Explorer. This gives rise to the need for cross-browser testing , which includes checking the compatibility of the application on different browsers. Instead, it comes in many different variations, which you can categorize according to several criteria. For instance, you can categorize testing types into manual or automated testing.
When it comes to the automated variety, tests can be code-based or codeless —and you can also have hybrid approaches that mix the best of both worlds. Tests can also be categorized regarding how much they know about the internal implementation of the system under test. Regarding this criterium, we can classify tests as white-box, black-box or grey-box. Finally, we can also group tests into functional and non-functional tests, depending on whether they validate the business requirements for the application.
Functional testing verifies each function of an application or software. The tester verifies functionality with a specified set of requirements. Testing the behavior of the software is the main concern. Non-functional testing considers parameters such as reliability, usability, and performance. A non-functional test might be checking how many users can log in to the system at the same time. Based on the amount of information you know about the product to test it, software testing can be divided into different types: Black-box testing, White-box testing, and Grey-box testing.
In this type of testing, you have the least amount of information on how the product is built. You would use the product as an end user would.
This type of testing can only happen when the code is executed. Hence, dynamic testing is used. Dynamic testing is the type where you have to execute the code and test the product while the code execution is in process. In white-box testing , you have most of the information about the product. White-box testing is mostly used to make the code better. Finding inefficiencies in code, poor coding practices, unnecessary lines of code are identified in this type of testing.
Most of the code optimization and security fixes happen as a result of this testing. It rather focuses on how it can be made better. You can make a lot of improvements to your product but the last few steps to make it perfect is difficult. Making it perfect requires a thorough inspection. This is known as static testing.
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