#Unit Testing

[yooxoo13]

05.05.2024

I know I am being so inconsistent with my posts. And I am really sorry to myself cuz I like blogging as a hobby but can't seem to be consistent on it these days. Maybe becuz I don't have much to post about anything as all my days from starting of this month are mostly same. There's nothing different to post about as there's a deliberate pause on my course right now becuz I just have to do revision of my course that is covered till April, for the exams. So I am not studying new chapters instead I am revising my earlier ones for the unit exams. Once my unit exams end I will restart my course for the nest 2 months and then after that there will next unit exams so then again process will repeat.

There's not much happenings or events in my life. Everyday i wake up, revise the content, sleep and repeat. If i have anything even though unrelated to my study but exciting so I promise to write it in my next blog. By the way last time i told u all that i have cold and fever so update on it, i am fine and healthy again.

Till my exams end I will not be posting much blogs. So till then bye. Have a nice and productive days ahead, me and others.

Song of the day: Head In The Clouds by Hayd

Good luck to me for tmr.

[bookofthrees]

The Intriguing Role of the Number 3 in Software Management

In the world of software management, the presence of the number three is surprisingly pervasive and influential. Whether it’s in methodologies, frameworks, or processes, this number frequently emerges, offering a simple yet profound structure that can be seen across various aspects of the field. From the three-tier architecture to the rule of three in coding, the number three seems to be a…

[imnotafrog]

my legacy in my unit tests

[khushnuma123]

Why Unit Testing is the Backbone of High-Quality Code in Software Development

Unit testing is an essential practice for ensuring your code is reliable, maintainable, and scalable. It helps catch bugs early, speeds up development, and makes debugging easier. By encouraging better design and acting as living documentation, unit tests help improve the overall quality of your software. While it requires an investment of time upfront, the long-term benefits are undeniable.

Read more: https://memphisnewspress.com/why-unit-testing-is-the-backbone-of-high-quality-code-in-software-development

[fromthepastpresentfuture]

The Importance of Unit Testing in Software Development

In the world of software development, ensuring the reliability and robustness of your code is paramount. Whether you are working on a simple application or a complex system, the quality of your code directly impacts the user experience, maintainability, and scalability of the product. One of the most effective practices for achieving high-quality code is unit testing.

Unit testing is a key aspect of software development that involves testing individual components (or "units") of a program to ensure they work as expected. In this blog, we’ll explore the importance of unit testing, how it contributes to the development process, and why you should make it an integral part of your workflow.

What is Unit Testing?

Unit testing is the process of writing tests for individual functions, methods, or classes in your code. These tests are designed to verify that the smallest units of your program perform correctly. The goal of unit testing is to isolate each part of the program and ensure that it works independently from the rest of the system.

For example, if you have a function that calculates the total price of a shopping cart, you would write a unit test to ensure that the function accurately computes the price based on various inputs (e.g., discounts, taxes, and quantities).

Why Unit Testing is Important

Catches Bugs Early

Unit tests are designed to catch issues in the code as early as possible—ideally during the development phase. By running unit tests after writing each function, developers can immediately spot errors and fix them before they affect the larger system. Early detection of bugs helps reduce debugging time and prevents defects from propagating into later stages of the development process.

Example: If a function that calculates the total price of an order fails to account for a discount, a unit test will immediately flag this as an issue, allowing developers to address it before moving on.

Improves Code Quality

Writing unit tests forces developers to think critically about the functionality and design of their code. Well-written tests often reveal areas of the code that need improvement, whether in terms of logic, readability, or performance. Unit testing encourages developers to write modular, more maintainable code, as it is easier to write tests for smaller, independent functions than for large, complex systems.

Example: While writing unit tests for a class that handles user authentication, a developer might realize that the logic for password validation is overly complicated and could be simplified, resulting in cleaner and more maintainable code.

Facilitates Refactoring

As projects evolve, codebases often undergo changes or refactoring to improve performance, address new requirements, or fix issues. Unit tests act as a safety net during refactoring. If you change a function or method, you can run the unit tests to ensure that the code still behaves as expected, preventing regressions from creeping into the system.

Example: If you’re refactoring the way a payment processor works in your app, running the existing unit tests for payment-related functions can help ensure that the new code doesn’t break any existing functionality.

Increases Developer Confidence

Unit testing provides developers with immediate feedback on whether their code is functioning correctly. This feedback boosts confidence in the code, knowing that each component has been individually tested and validated. It also reduces the need for manual testing, which can be time-consuming and error-prone.

Example: After writing a unit test for a login function, developers can feel confident that the function is correctly verifying users’ credentials and preventing unauthorized access.

Simplifies Debugging

When an error occurs in a system, unit tests help pinpoint exactly where the problem lies. Since unit tests target small, isolated units of code, it’s easier to determine which part of the program caused the failure. This helps speed up the debugging process and reduces the complexity of finding the root cause of an issue.

Example: If a unit test fails after a new feature is added, you can immediately narrow down the problem to the specific function that was modified, rather than having to dig through the entire codebase.

Helps with Continuous Integration and Deployment (CI/CD)

In modern software development, Continuous Integration (CI) and Continuous Deployment (CD) have become essential practices. These processes involve automatically integrating and testing code changes frequently to ensure that the application remains stable throughout development. Unit tests play a critical role in CI/CD pipelines by automating the testing process, ensuring that new changes don’t break the existing codebase.

Example: In a CI pipeline, every time a developer commits code to the repository, unit tests are automatically run to verify that the new changes don’t introduce bugs. This ensures that the codebase remains stable and functional throughout the development cycle.

Improves Collaboration

Unit tests serve as documentation for the code. They provide a clear and concise description of how a function or method is expected to behave, making it easier for new developers to understand and contribute to the project. Unit tests also provide an added layer of transparency and consistency when working in teams.

Example: A new team member joining a project can look at the existing unit tests to understand the expected behavior of different functions, which helps them get up to speed quickly without needing to fully read through all of the code.

Best Practices for Unit Testing

While unit testing is incredibly valuable, it’s important to follow best practices to make sure the tests are effective:

Write Clear and Isolated Tests: Each test should focus on one specific unit of functionality and should be independent of others. Tests should also be easy to understand and maintain.

Keep Tests Small and Fast: Unit tests should be fast to execute. Large, slow tests can hinder the development process by making it cumbersome to run them frequently.

Test Edge Cases: In addition to testing common use cases, ensure that unit tests account for edge cases, such as empty inputs or invalid data. This helps ensure the robustness of the application.

Run Tests Frequently: Regularly run unit tests during development to catch issues as soon as they arise. This also integrates well with automated CI/CD pipelines.

Mock External Dependencies: If your function interacts with external systems (e.g., databases or APIs), use mocking to simulate their behavior. This allows you to isolate the unit being tested without relying on external systems.

Conclusion

Unit testing is an essential practice for ensuring the reliability, maintainability, and stability of your software. By catching bugs early, improving code quality, and facilitating refactoring, unit testing plays a vital role in the software development process. It builds confidence in your code and provides a safety net for developers as they work on large projects with complex systems.

While writing unit tests may take additional time initially, the long-term benefits—such as faster debugging, easier collaboration, and fewer defects—far outweigh the investment. In a world where software systems are growing increasingly complex, unit testing is more important than ever in delivering high-quality software that meets users’ expectations and performs reliably in production.

[startfunction]

How to hide JavaScript's console.log output in Jest tests

I recently ran into a codebase that had many console.log() polluting Jest tests output resulting in a confusing mess. Here's how I got rid of them. #100daysofcode #DEVcommunity

I was working today in a codebase that had many intentional console.log output in all environments but production so they were showing up in Jest tests output. It would have been tedious to go and remove them one by one and so I devised this simple setup to suppress all console.log output at once while Jest is running. Configuring Jest This trick relies on Jest’s native ability to mock…

[gagande]

Purecode | Unit Testing

Write unit tests for your components that involve redirects, ensuring that the redirect logic works as expected under various conditions. Libraries like Jest and testing utilities from React Testing Library can simulate conditions and user interactions.

[jonah-miles-smith]

9 Different Types of Software Testing and Their Benefits

In the world of software development, ensuring the quality and reliability of an application is paramount. Software testing plays a vital role in identifying bugs, ensuring functionality, and enhancing the overall user experience. Testing can be done at different stages of development and can take many forms. Each type of testing has its own objectives, processes, and benefits. In this blog, we’ll explore the most common types of software testing and why each is crucial in delivering a high-quality product.

1. Unit Testing

What it is: Unit testing focuses on testing individual units or components of a software application in isolation, typically at the function or method level. Developers often write unit tests as they write the code, making it a proactive approach to catching errors early.

Benefits:

Early Detection of Bugs: Unit tests can catch issues as soon as code is written, making it easier and faster to fix bugs.

Simplifies Code Maintenance: With unit tests, developers can make changes to the code with confidence, knowing that existing functionality is not broken.

Documentation: Unit tests act as documentation for the behavior of individual code components, making it easier for others to understand how a system works.

2. Integration Testing

What it is: Once individual units of code are tested, integration testing ensures that they work together as expected. This type of testing focuses on detecting issues that occur when different components of the software interact.

Benefits:

Identifies Interface Issues: It helps to ensure that the interfaces between different modules or services are functioning correctly.

Early Detection of Integration Problems: Problems like data mismatches, incorrect APIs, or failures in service calls can be identified before they affect the entire system.

Improved Software Design: By testing components together, developers can ensure that the overall system architecture is sound and scalable.

3. System Testing

What it is: System testing evaluates the complete, integrated system as a whole. This testing verifies that the entire application works according to the specified requirements and functions well in all expected environments.

Benefits:

End-to-End Validation: System testing ensures that all parts of the application work together seamlessly, offering a real-world simulation of the software in action.

Comprehensive Coverage: It tests all aspects of the system (performance, security, usability, etc.), ensuring that no part is overlooked.

Ensures Functional and Non-Functional Requirements Are Met: System testing confirms that the software not only works functionally but also meets performance, security, and usability standards.

4. Acceptance Testing

What it is: Acceptance testing is performed to determine whether the software meets the business requirements and if it is ready for deployment. Often performed by QA teams or the client, this test is done before the product is released to the market.

Benefits:

Validates Business Requirements: Ensures that the software delivers what the client or end-users expect and that all features and functionalities align with the business needs.

Reduces the Risk of Rework: By identifying issues early on, acceptance testing helps ensure that the product is ready for use and minimizes the need for costly post-release fixes.

Improves Stakeholder Confidence: Since it focuses on meeting client specifications, it helps in building trust with stakeholders and ensures their satisfaction with the final product.

5. Performance Testing

What it is: Performance testing is conducted to determine how a software application performs under various conditions. It focuses on aspects like speed, responsiveness, scalability, and stability. There are several types of performance testing, including load testing, stress testing, and scalability testing.

Benefits:

Improves User Experience: Ensures that the software can handle high user loads without slowing down or crashing, which directly impacts user satisfaction.

Identifies Bottlenecks: Performance testing helps uncover areas of the software that could cause slowdowns, allowing developers to optimize performance before it becomes an issue.

Scalability Insights: Helps teams understand how well the software can handle increasing volumes of data or users, and allows them to plan for future growth.

6. Security Testing

What it is: Security testing is designed to find vulnerabilities in the software application that could be exploited by hackers or malicious users. This includes testing for issues like SQL injection, cross-site scripting (XSS), data breaches, and authentication flaws.

Benefits:

Protects Sensitive Data: Ensures that sensitive user data (such as personal details, credit card information, etc.) is secure and not susceptible to cyberattacks.

Compliance with Regulations: Many industries have strict regulatory standards (e.g., GDPR, HIPAA) regarding data security, and security testing helps ensure compliance.

Prevents Security Breaches: By proactively identifying vulnerabilities, security testing can prevent data leaks, fraud, or other security breaches that could damage the company’s reputation or finances.

7. Usability Testing

What it is: Usability testing evaluates how user-friendly and intuitive a software application is. This type of testing focuses on ensuring that the product is easy to navigate and that users can interact with it efficiently.

Benefits:

Improved User Experience: Helps identify interface issues that may confuse or frustrate users, allowing teams to make the software more intuitive.

Better Customer Retention: A well-designed, user-friendly product is more likely to satisfy users and encourage them to continue using the software.

Increased Conversion Rates: A seamless user experience can lead to higher engagement, more sign-ups, and ultimately more conversions or sales.

8. Regression Testing

What it is: Regression testing ensures that new code changes (such as bug fixes, enhancements, or feature additions) haven’t unintentionally affected the existing functionality of the software. It’s typically done after each update or release.

Benefits:

Prevents New Bugs: Ensures that new code doesn't break previously working features, which is crucial as the software evolves over time.

Maintains Software Stability: Regression testing helps maintain the stability of the system by verifying that old functionality continues to work as expected.

Speeds Up Release Cycles: Automated regression tests can quickly check for issues, reducing the time needed for quality assurance and speeding up the release cycle.

9. Smoke Testing

What it is: Smoke testing, also known as "build verification testing," is a preliminary test to check the basic functionality of a software build. It’s like a "quick check" to ensure that the critical parts of the software work before deeper testing is performed.

Benefits:

Quick Feedback: Provides immediate feedback on whether the latest build is stable enough to proceed with further testing.

Reduces Time and Cost: Helps to catch fundamental issues early in the development cycle, preventing wasted time on testing broken builds.

Ensures Build Quality: It ensures that the most crucial features (e.g., login, key workflows) are functioning correctly before testing begins.

Conclusion

Software testing is an essential component of the development lifecycle, ensuring that applications are not only functional but also secure, efficient, and user-friendly. Each type of testing serves a unique purpose and brings its own set of benefits, from identifying small bugs in individual components to ensuring the overall performance and security of the application.

By implementing various types of testing at different stages of development, software teams can significantly reduce the risk of errors and deliver a more reliable, high-quality product to end-users. Whether you're a developer, QA engineer, or project manager, understanding the importance of diverse testing strategies is key to successful software delivery.

[mik2ldwin]

https://www.futureelectronics.com/p/production-products--hardware--test-points/5015-keystone-9775289

Computer hardware, pc hardware diagnostic tools, unit testing

Miniature Surface Mount Test Points on Tape and Reel

[robomad]

Node.js Testing Strategies and Tools

Node.js Testing Strategies and Tools: A Comprehensive Guide

Introduction Testing is a crucial part of the software development process, ensuring that your code works as expected and helps prevent future regressions. In the context of Node.js applications, there are various strategies and tools available to perform testing efficiently. This guide will cover the different types of testing strategies and the tools you can use to implement them in your…

[simplythetest]

Enable, Execute, Expect

Much ink has been spilled (metaphorically) around the topic of writing good unit tests. One of the best patterns I've seen for thinking about how to write good unit tests is the Arrange-Act-Assert pattern, also known as Triple AAA tests. Here's a selection of articles illustrating this pattern:

The Automation Panda's Take on AAA tests

Jay Cruz and the Three A's of Unit Testing on Dev.to

Leaning unit testing from Microsoft

and so on.

The gist is that every unit test should have three parts: arrange your test with fixtures and elements to test, perform an act on these fixtures that you wish to test, and then assert the actual result of the action is the same as you expect.

This is a great pattern, except for one tiny issue: in some languages, there isn't really an "assert".

Increasingly, instead of the syntax

assert expectedCondition == actualCondition

we see something like

expect(expectedCondition).toBe(actualCondition)

This is true in JavaScript/TypeScript world, as well as in the Ruby world. In JS you have this pattern in libraries like Jest, while in Ruby the RSpec framework uses expect as well. This could lead to developers who never actually use an assert keyword in code. This leads the Triple AAA mnemonic to shambles.

Hence, here is the recipe Triple EEE tests:

Enable test fixtures as needed

Execute a step to be tested

Expect a result and verify this happens.

A nice acronym, exactly expected.

[literarypm]

[giphit]

from one of my university slides, nothing has made me wish i was born earlier more. to live in a world where i don't have to make unit tests would be actual heaven

[redactedconcepts]

Never forget a test

Testing is the process of evaluating a system or its component(s) with the intent to find whether it satisfies the specified requirements or not. Testing is executing a system in order to identify any gaps, errors, or missing requirements contrary to the actual requirements. This tutorial will give you a basic understanding of software testing, its types, methods, levels, and other related terminologies.

Code that is not tested can’t be trusted

Bad reputation

��Testing is Too Expensive”: Pay less for testing during software development => pay more for maintenance or correction later. Early testing saves both time and cost in many aspects. However, reducing the cost without testing may result in improper design of a software application, rendering the product useless.

“Testing is Time-Consuming”: Testing is never a time-consuming process. However diagnosing and fixing the errors identified during proper testing is a time-consuming but productive activity.

“Only Fully Developed Products are Tested”: No doubt, testing depends on the source code but reviewing requirements and developing test cases is independent from the developed code. However, iterative or incremental approaches to a development life cycle model may reduce the requirement of testing on the fully developed software.

“Complete Testing is Possible”: It becomes an issue when a client or tester thinks that complete testing is possible. It is possible that all paths have been tested by the team but occurrence of complete testing is never possible. There might be some scenarios that are never executed by the test team or the client during the software development life cycle and may be executed once the project has been deployed.

“A Tested Software is Bug-Free”: No one can claim with absolute certainty that a software application is 100% bug-free even if a tester with superb testing skills has tested the application.

“Testers are Responsible for Quality of Product”: It is a very common misinterpretation that only testers or the testing team should be responsible for product quality. Testers’ responsibilities include the identification of bugs to the stakeholders and then it is their decision whether they will fix the bug or release the software. Releasing the software at the time puts more pressure on the testers, as they will be blamed for any error.

“Test Automation should be used wherever possible to Reduce Time”: Yes, it is true that Test Automation reduces the testing time, but it is not possible to start test automation at any time during software development. Test automaton should be started when the software has been manually tested and is stable to some extent. Moreover, test automation can never be used if requirements keep changing.

Basic

This standard deals with the following aspects to determine the quality of a software application:

Quality model

External metrics

Internal metrics

Quality in use metrics

This standard presents some set of quality attributes for any software such as:

Functionality

Reliability

Usability

Efficiency

Maintainability

Portability

Functional Testing

This is a type of black-box testing that is based on the specifications of the software that is to be tested. The application is tested by providing input and then the results are examined that need to conform to the functionality it was intended for. Functional testing of a software is conducted on a complete, integrated system to evaluate the system’s compliance with its specified requirements.

There are five steps that are involved while testing an application for functionality:

The determination of the functionality that the intended application is meant to perform.

The creation of test data based on the specifications of the application.

The output based on the test data and the specifications of the application.

The writing of test scenarios and the execution of test cases.

The comparison of actual and expected results based on the executed test cases.

An effective testing practice will see the above steps applied to the testing policies of every organization and hence it will make sure that the organization maintains the strictest of standards when it comes to software quality.

Unit Testing

This type of testing is performed by developers before the setup is handed over to the testing team to formally execute the test cases. Unit testing is performed by the respective developers on the individual units of source code assigned areas. The developers use test data that is different from the test data of the quality assurance team.

The goal of unit testing is to isolate each part of the program and show that individual parts are correct in terms of requirements and functionality.

Limitations of Unit Testing:

Testing cannot catch each and every bug in an application. It is impossible to evaluate every execution path in every software application. The same is the case with unit testing.

There is a limit to the number of scenarios and test data that a developer can use to verify a source code. After having exhausted all the options, there is no choice but to stop unit testing and merge the code segment with other units.

Integration Testing

Integration testing is defined as the testing of combined parts of an application to determine if they function correctly. Integration testing can be done in two ways: Bottom-up integration testing and Top-down integration testing.

Bottom-up integration: This testing begins with unit testing, followed by tests of progressively higher-level combinations of units called modules or builds.

Top-down integration: In this testing, the highest-level modules are tested first and progressively, lower-level modules are tested thereafter.

In a comprehensive software development environment, bottom-up testing is usually done first, followed by top-down testing. The process concludes with multiple tests of the complete application, preferably in scenarios designed to mimic actual situations.

System Testing

System testing tests the system as a whole. Once all the components are integrated, the application as a whole is tested rigorously to see that it meets the specified Quality Standards. This type of testing is performed by a specialized testing team.

System testing is important because of the following reasons:

System testing is the first step in the Software Development Life Cycle, where the application is tested as a whole.

The application is tested thoroughly to verify that it meets the functional and technical specifications.

The application is tested in an environment that is very close to the production environment where the application will be deployed.

System testing enables us to test, verify, and validate both the business requirements as well as the application architecture.

Regression Testing

Whenever a change in a software application is made, it is quite possible that other areas within the application have been affected by this change. Regression testing is performed to verify that a fixed bug hasn’t resulted in another functionality or business rule violation. The intent of regression testing is to ensure that a change, such as a bug fix should not result in another fault being uncovered in the application.

Regression testing is important because of the following reasons:

Minimize the gaps in testing when an application with changes made has to be tested.

Testing the new changes to verify that the changes made did not affect any other area of the application.

Mitigates risks when regression testing is performed on the application.

Test coverage is increased without compromising timelines.

Increase speed to market the product.

Acceptance Testing

This is arguably the most important type of testing, as it is conducted by the Quality Assurance Team who will gauge whether the application meets the intended specifications and satisfies the client’s requirement. The QA team will have a set of pre-written scenarios and test cases that will be used to test the application.

More ideas will be shared about the application and more tests can be performed on it to gauge its accuracy and the reasons why the project was initiated. Acceptance tests are not only intended to point out simple spelling mistakes, cosmetic errors, or interface gaps, but also to point out any bugs in the application that will result in system crashes or major errors in the application.

By performing acceptance tests on an application, the testing team will deduce how the application will perform in production. There are also legal and contractual requirements for acceptance of the system.

Alpha Testing

This test is the first stage of testing and will be performed amongst the teams (developer and QA teams). Unit testing, integration testing and system testing when combined together is known as alpha testing. During this phase, the following aspects will be tested in the application:

Spelling Mistakes

Broken Links

Cloudy Directions

The Application will be tested on machines with the lowest specification to test loading times and any latency problems.

Beta Testing

This test is performed after alpha testing has been successfully performed. In beta testing, a sample of the intended audience tests the application. Beta testing is also known as pre-release testing. Beta test versions of software are ideally distributed to a wide audience on the Web, partly to give the program a “real-world” test and partly to provide a preview of the next release. In this phase, the audience will be testing the following:

Users will install, run the application and send their feedback to the project team.

Typographical errors, confusing application flow, and even crashes.

Getting the feedback, the project team can fix the problems before releasing the software to the actual users.

The more issues you fix that solve real user problems, the higher the quality of your application will be.

Having a higher-quality application when you release it to the general public will increase customer satisfaction.

Non-Functional Testing

This section is based upon testing an application from its non-functional attributes. Non-functional testing involves testing a software from the requirements which are nonfunctional in nature but important such as performance, security, user interface, etc.

Some of the important and commonly used non-functional testing types are discussed below.

Performance Testing

It is mostly used to identify any bottlenecks or performance issues rather than finding bugs in a software. There are different causes that contribute in lowering the performance of a software:

Network delay

Client-side processing

Database transaction processing

Load balancing between servers

Data rendering

Performance testing is considered as one of the important and mandatory testing type in terms of the following aspects:

Speed (i.e. Response Time, data rendering and accessing)

Capacity

Stability

Scalability

Performance testing can be either qualitative or quantitative and can be divided into different sub-types such as Load testing and Stress testing.

Load Testing

It is a process of testing the behavior of a software by applying maximum load in terms of software accessing and manipulating large input data. It can be done at both normal and peak load conditions. This type of testing identifies the maximum capacity of software and its behavior at peak time.

Most of the time, load testing is performed with the help of automated tools such as Load Runner, AppLoader, IBM Rational Performance Tester, Apache JMeter, Silk Performer, Visual Studio Load Test, etc.

Virtual users (VUsers) are defined in the automated testing tool and the script is executed to verify the load testing for the software. The number of users can be increased or decreased concurrently or incrementally based upon the requirements.

Stress Testing

Stress testing includes testing the behavior of a software under abnormal conditions. For example, it may include taking away some resources or applying a load beyond the actual load limit.

The aim of stress testing is to test the software by applying the load to the system and taking over the resources used by the software to identify the breaking point. This testing can be performed by testing different scenarios such as:

Shutdown or restart of network ports randomly

Turning the database on or off

Running different processes that consume resources such as CPU, memory, server, etc.

Usability Testing

Usability testing is a black-box technique and is used to identify any error(s) and improvements in the software by observing the users through their usage and operation.

According to Nielsen, usability can be defined in terms of five factors, i.e. efficiency of use, learn-ability, memory-ability, errors/safety, and satisfaction. According to him, the usability of a product will be good and the system is usable if it possesses the above factors.

Nigel Bevan and Macleod considered that usability is the quality requirement that can be measured as the outcome of interactions with a computer system. This requirement can be fulfilled and the end-user will be satisfied if the intended goals are achieved effectively with the use of proper resources.

Molich in 2000 stated that a user-friendly system should fulfill the following five goals, i.e., easy to Learn, easy to remember, efficient to use, satisfactory to use, and easy to understand.

In addition to the different definitions of usability, there are some standards and quality models and methods that define usability in the form of attributes and sub-attributes such as ISO-9126, ISO-9241-11, ISO-13407, and IEEE std.610.12, etc.

UI vs Usability Testing

UI testing involves testing the Graphical User Interface of the Software. UI testing ensures that the GUI functions according to the requirements and tested in terms of color, alignment, size, and other properties.

On the other hand, usability testing ensures a good and user-friendly GUI that can be easily handled. UI testing can be considered as a sub-part of usability testing.

Security Testing

Security testing involves testing a software in order to identify any flaws and gaps from security and vulnerability point of view. Listed below are the main aspects that security testing should ensure:

Confidentiality

Integrity

Authentication

Availability

Authorization

Non-repudiation

Software is secure against known and unknown vulnerabilities

Software data is secure

Software is according to all security regulations

Input checking and validation

SQL insertion attacks

Injection flaws

Session management issues

Cross-site scripting attacks

Buffer overflows vulnerabilities

Directory traversal attacks

Portability Testing

Portability testing includes testing a software with the aim to ensure its reusability and that it can be moved from another software as well. Following are the strategies that can be used for portability testing:

Transferring an installed software from one computer to another.

Building executable (.exe) to run the software on different platforms.

Portability testing can be considered as one of the sub-parts of system testing, as this testing type includes overall testing of a software with respect to its usage over different environments. Computer hardware, operating systems, and browsers are the major focus of portability testing. Some of the pre-conditions for portability testing are as follows:

Software should be designed and coded, keeping in mind the portability requirements.

Unit testing has been performed on the associated components.

Integration testing has been performed.

Test environment has been established.

Test Plan

A test plan outlines the strategy that will be used to test an application, the resources that will be used, the test environment in which testing will be performed, and the limitations of the testing and the schedule of testing activities. Typically the Quality Assurance Team Lead will be responsible for writing a Test Plan.

A test plan includes the following:

Introduction to the Test Plan document

Assumptions while testing the application

List of test cases included in testing the application

List of features to be tested

What sort of approach to use while testing the software

List of deliverables that need to be tested

The resources allocated for testing the application

Any risks involved during the testing process

A schedule of tasks and milestones to be achieved

Test Scenario

It is a one line statement that notifies what area in the application will be tested. Test scenarios are used to ensure that all process flows are tested from end to end. A particular area of an application can have as little as one test scenario to a few hundred scenarios depending on the magnitude and complexity of the application.

The terms ‘test scenario’ and ‘test cases’ are used interchangeably, however a test scenario has several steps, whereas a test case has a single step. Viewed from this perspective, test scenarios are test cases, but they include several test cases and the sequence that they should be executed. Apart from this, each test is dependent on the output from the previous test.

Test Case

Test cases involve a set of steps, conditions, and inputs that can be used while performing testing tasks. The main intent of this activity is to ensure whether a software passes or fails in terms of its functionality and other aspects. There are many types of test cases such as functional, negative, error, logical test cases, physical test cases, UI test cases, etc.

Furthermore, test cases are written to keep track of the testing coverage of a software. Generally, there are no formal templates that can be used during test case writing. However, the following components are always available and included in every test case:

Test case ID

Product module

Product version

Revision history

Purpose

Assumptions

Pre-conditions

Steps

Expected outcome

Actual outcome

Post-conditions

Many test cases can be derived from a single test scenario. In addition, sometimes multiple test cases are written for a single software which are collectively known as test suites.

[techdirectarchive]

How to Test Web Applications Using Scandium

Every Web Application needs to be properly tested through a manual or automation process before it is released to the public. The aim is to deliver an application with a seamless and user-friendly experience free of bugs that affect operation. While Manual testing is still very much in use today there is a need for automated testing for repeated and faster testing. We have several testing tools…

[nile-bits]

The Power Path to Microservices Integration in Angular

The maturation of software development methodologies has undergone a profound transition towards microservices architecture, and within this transformative pathway, Angular stands as an unparalleled force in creating high-quality user interfaces. With this detailed guide, we aim to shed light on the road towards effortless Microservices Integration in Angular for developers striving to achieve agile and competitive apps through advanced approaches and technologies.

Against this background, the union of Angular with microservices architecture delivers a dynamic synergy. This guide will not only discuss the theoretical basis of microservices but also present samples to run for hands-on knowledge development.

So let’s unravel the Power Path to Microservices Integration in Angular – with every chapter presenting another layer of knowledge and expertise. We’ll guide you through everything from setting up your Angular environment to making optimal API calls for top-notch performance when targeting microservices in the architecture. The guide concludes with deployment best practices that will allow your application to succeed in the real world...

Learn more here:

https://www.nilebits.com/blog/2024/01/microservices-integration-in-angular/