Do Facebook, Apple, and Google hire Selenium testers?

By Sam

You can immediately assess the quality of a pear by looking at its shape, size, ripeness, and absence or visible bruising. You will only know if the pear is that good after you have had your first bite. Even the most beautiful pear can taste bitter or contain a worm.

This applies to virtually any product, whether a physical object or software. Although a website on the Internet may look great at first glance, you will notice design flaws as you scroll down and visit other pages or send contact requests.

Quality control is essential in all areas where end-user products are created. A sour apple won't do as much harm as a self-driving vehicle with poor autopilot software. An EHR system error could put a patient's life at risk. A website with poor performance might result in millions in lost revenue.

Google Software Testing

Google's vast codebase is a unique feature. Information Is Beautiful estimates that Google maintains about 2 billion lines of code for its internet services. It takes approximately 50 million lines of code in order to operate the Large Hadron Collider.

How can a company maintain software testing efficiency at a scale of 2,000,000,000 LOC? According to Jeff Listfield from Google, the company had run 4.2million tests in April 2017. Only 2% of those tests, or 63,000, had failed.

Software testing on Facebook

Even today, people talk about "moving quickly and breaking things" even though it is 2018. This motto was officially abandoned by Mark Zuckerberg four years ago.

Hacker-celebrating gave way to a new mantra: "Move Fast and Built Things." This mantra was changed to "Move Fast with Stable Infra" a few years later. It's not on Facebook's priority list to break things.

Menlo Park developers maintain a huge web platform with more than 60 million lines of code. Facebook is also the third most popular website in 2018, after Youtube and Google.

Places a high value on software quality for clients. We will be sharing our knowledge on quality assurance and testing, best practices, and preferred strategies in this paper.

Software Quality: Quality Assurance, Quality Control (QC), and Testing

Even though it is natural to make mistakes, there are times when the consequences of making them can be too costly. Software flaws can lead to billions in wasted money or even death. This is evident from the many instances when Starbucks had to give away their free coffee because of a register error. The F-35 military plane could not detect targets correctly due to a radar failure.

The software quality concept was created to ensure that the software released is safe and works as expected. The "degree of compliance to explicit and implicit requirements and expectations" might be used to define it. Two levels of software quality match these implicit and explicit requirements.

Functional - The product's conformance with design specifications and functional (explicit) requirements. This aspect is about software's practical use and satisfaction from the user's perspective. It includes its performance, ease of use, lack of defects, and features. 

Non-Functional - refers to the system's inner characteristics, architecture, and functions. Structural (implicit) requirements. This includes code maintainability, understanding, efficiency, security, and security. 

Software's structural quality is often difficult to manage. Code review, analysis, and refactoring can be used to ensure it, depending on the engineering team's skill level. A dedicated quality management activity can also ensure that the program is functional. This covers testing, quality assurance, and quality control.

The terms are often used interchangeably to refer to slightly different aspects of software quality management. They all have the same goal: to deliver the highest quality product, structurally and functionally. However, they take different approaches.

The Google Testing Blog defines "quality assurance" as "continuous and consistent improvement and maintenance procedure that supports QC task." As you can see, QA puts a lot of emphasis on organizational aspects of quality control and keeping an eye on production process consistency.

Quality Control ensures that the product meets the functional requirements. According to Investopedia, quality control is a business process to verify the product's compliance with functional requirements. This activity is performed on the final product before it is released. It is similar to taking a random item off an assembly line and checking if it meets the technical specifications.

Testing focuses on the fundamental activity of identifying and fixing technical issues in the source code. It also assesses the product's usability, security, compatibility, and performance. This is a narrowly focused activity done by test engineers either in parallel to the development process or at the dedicated testing phase (depending on how the software development cycle is structured).

The quality control process is essential for car manufacturing. It ensures that each team member understands the requirements and follows the established guidelines. It is used to ensure that all actions are performed in the correct order and that each detail is correctly implemented.

Quality Control is like having a senior manager go into a production area and select a random car to test drive and examine. In this instance, testing activities refer to inspecting every component and every mechanism individually, performing crash tests, and simulated or actual test drives.

Software testing. remains a hot topic due to its hands-on approach. This is why this paper will be primarily focused on the aspect of software quality control. Before we get into the details, let's first define the core principles of software testing.

Software Testing: The Main Principles

The seven software testing principles were developed over the last 40 years and are the foundation for the entire process. These principles are:

Testing reveals the presence of errors. Software defects are detected by testing. No matter how thoroughly the product has been tested, it is impossible to be 100% certain that there are no defects. Testing can only be used to reduce the number of unfound problems.

Testing every single scenario is impossible. All potential input, scenario, and precondition combinations cannot be tested within an app. Engineering teams would need to develop 59.049 (310) test cases if a single screen included ten input fields and three value alternatives. What if the app has 50 or more screens like this? Instead of spending weeks inventing millions of these less likely possibilities, focusing on the ones that may be more crucial is advisable.

Testing early. As we have already mentioned, errors cost exponentially more during the SDLC stages. Therefore, it is important to test the software immediately so any issues can be fixed and not escalate.

Clustering of errors. Software testing using the Pareto principle is another name for this idea. This indicates that 20% of system modules contain about 80% of the problems. If there is a flaw in one of a software program's modules, there will probably be more flaws overall. This aspect of the product has to be thoroughly tested.

Pesticide paradox. You won't find any more problems if you repeatedly run the same test set. These test scenarios are useless once the errors have been fixed. Therefore, it is important to regularly review and update test scenarios to adapt to new situations and possibly find more errors.

Testing is context-dependent. Different applications need to be tested differently depending on their purpose and industry. Safety is important for fintech products but less so for corporate websites. This latter puts a greater emphasis on speed and usability.

The absence of errors. The absence of faults in a product does not ensure its success. No matter how many hours you put into cleaning up the code or enhancing functionality if your product does not offer value or live up to user expectations, your target market will not utilize it.

The principles mentioned above are a good starting point for Offshore Selenium Testers, but there are other aspects. Sources cite other principles as well as the core ones.

· Independent professionals should perform testing. 

· Valid and expected inputs can be checked for invalid or unexpected values. 

· Tests should only be done on static software. 

· To determine the expected test results, create detailed and complete documentation. 

The Role Of Testing In Software Development Life Cycle

  • Waterfall Model

The Waterfall model has six phases: analysis, planning, design, implementation testing, maintenance, and testing. It is a representation of a conventional software development cycle.

A product is tested in the testing phase before it is released. The practice suggests that software defects and errors discovered at this stage may be too costly to fix. This is because the cost of fixing an error increases throughout the software development process.

It wouldn't be an issue to find any specs mistakes during the planning stage if there were any. Only in the later phases is it possible to heal the damage. The error needs to be fixed during the design phase. You might need to make significant adjustments to the design and the source code if you can't find the mistake before the product is built. Both time and money will be required for this.

This is also true for mistakes made during implementation. If a feature's logic is flawed, adding more functionality could cause serious long-term damage. Best Selenium Testers to test all features while the product is still developing. Iterative Agile methods are a great way to test every feature.

  • Agile Testing

The agile methodology is essential to the software development process. Iterations and sprints are used to divide the development process into smaller chunks. As a result, any problems or defects can be fixed immediately by testers, who can work on the project alongside the rest of the team simultaneously as the developers.

This process aims to deliver new features quickly and at the highest quality. This approach is much more cost-efficient and less time-consuming. It is possible to fix errors earlier in the development process before they become major problems. Effective communication and active participation of all stakeholders speed up the development process and allow for better-informed decisions. Our dedicated article explains the roles and responsibilities of testing teams.

Agile testing is about more than having a team. Amir Ghahrai is a Senior Test Consultant at Amido. He says that by creating a QA group, we run the risk of removing testers from important conversations with product owners, developers, and others. Because quality and testing are not secondary concerns, Agile projects should have QA embedded in scrum teams. Quality must be built into the project from the beginning.

  • DevOps Testing

DevOps is becoming a more common practice for those with Agile experience. This new software development method requires high coordination among various components of the deliverable chain (QA, development, and operations).

DevOps, frequently referred to as an extension of Agile, connects development and QA. However, DevOps is not Agile. The code will be created, entered into version control, compiled, deployed, and tested in a real-world setting before being made available to the user. Automation and continuous integration tools, which enable quick delivery of services and applications, are emphasized by DevOps.

Testing takes place at every stage of the DevOps process. This changes the role of testers as well as the idea of testing. Hire Selenium Testers who must have the technical skills necessary to successfully carry out testing activities.

PractiTest's survey shows that the Agile trend is the undisputed leader. Nearly 90% of respondents are involved in at least one Agile project within their organization. However, one-third of respondents still use the Waterfall model in certain projects, despite a decrease in its popularity. DevOps continues to grow, but it is slower than ever before.

Software Testing Methodologies

Black Box Test This method is named after a QA engineer who focuses only on the expected outputs and inputs without understanding how the application functions internally or how these inputs are processed. This method checks the software's functionality to ensure it meets user requirements. This can be used at any level of testing, but it is primarily used for user acceptance and system testing.

During a product test, a QA specialist does not consider the internal processes of QA.

  • Whitebox Testing

This method is not like black box testing. It requires deep knowledge of the code because it involves testing a structural part of an application. This testing is usually performed by the developers who wrote the code. White box testing serves two purposes: to increase security and the flow of inputs/outputs throughout the application. It also helps to improve design and usability. This technique is used primarily at the unit and integration levels.

  • Grey Box Testing

This combination of the two methods is called the "Full-Structure" method. It involves testing both the functional and structural components of the application. This method allows an experienced tester to have a partial understanding of the application's internal structure and can create test cases based on that knowledge while still testing from a black-box perspective. This approach is most applicable to integration testing.

  • Ad Hoc Test

This informal testing method is not planned or documented. The tester conducts tests casually and randomly without expecting any results. Although this method is more difficult to replicate due to the lack of test cases written down, it helps identify important defects quickly, which cannot be done using formal methods.

Types of Software Testing

Testing can take many forms depending on the purpose of the process.

Testing can take many forms depending on the purpose of the process. These are the top-rated testing types, according to the ISTQB survey.

The most popular types of software testing are described according to their object and method and the testing levels used.

  • Functional Testing 

Functional testing was voted the most important type of testing by 83%. This is not surprising, as functional testing would have no other use for the system's non-functional components.

Functional testing is where the system is evaluated against its functional requirements. This can be done by feeding the inputs and looking at the output. This testing uses the black box method. It is not about the actual processing but its results. Functional testing is typically performed at the level of acceptance and system.

The following steps are typical for functional testing:

1. Outlines the functions that the software should perform2. Input data based on functional specifications.

3. Function specifications determine the output.

4. Executes the test case

5. Mixtapose the expected and received outputs

  • Performance Testing

60.7% of respondents voted performance testing as the most important type of non-functional testing. Performance testing assesses the system's responsiveness and stability under certain loads.

Different types of performance testing can be used to evaluate the system's behavior depending on its workload.

· Load testing -- for an ever-increasing workload 

· Stress Testing -- within or beyond the limits for the expected workload 

· Endurance Testing -- Continuous and substantial workload 

· Spike Testing -- At a sudden and significantly increased workload 

  • Use Case Test

This is the most commonly used testing technique. It is followed closely by exploratory testing. A use case describes how a system will react to a scenario the user has created. It is user-oriented, and it focuses only on the actions and actors. The system output and input are not considered. Developers create use cases keeping in mind the project concept. The behavior of the system can then be tested after they are completed. Testers then use these use cases to create test cases.

When testing acceptance or system levels, use case testing is used extensively. It can also be used to identify defects in integration testing. It checks whether the path chosen by the user works as expected and ensures that the tasks can be completed successfully. Using use case testing, analysts can identify flaws and make adjustments to improve efficiency and accuracy.

  • Exploratory Test

Cem Kaner, a professor of software engineering and advocate for consumers, first described exploratory testing as "a style in software testing that emphasizes individual freedom and responsibility to continuously optimize the value of her work by treating test-related learning, test design, and execution as mutually supportive activities that run in tandem throughout the project."

Unlike most other types of testing, exploratory testing does not depend on predefined, documented test cases or test steps. It is interactive and free-form, focusing primarily on user experience validation, not code. Although it shares many similarities with intuitive or ad hoc testing, it is more systematic. Skilled testers can produce auditable and valuable results by using exploratory testing.

  • Usability Testing

The usability test was chosen by 44.1% of respondents. It is done from the end user's perspective to determine if the system can be used easily. This type of testing should not be confused with user acceptance tests. This testing verifies that the final product meets set requirements, while the first ensures that the implementation approach works for the user.

Automation Testing

Advanced automation is essential to speed up software testing and improve its quality.

Continuous testing is a complex process. Test automation reduces the stress of managing testing requirements, which allows more time to spend on creating test cases. Agile methodologies are gaining popularity, encouraging continuous integration and test automation as the foundation of software development. Check out our article, which compares the most widely used automated testing tools, including Selenium Testers.

Test automation usually takes place in multiple steps.

· Preliminary Project Analysis 

· Framework Engineering 

· Test Cases Development 

· Test Cases for Implementation 

· Iterative Framework Support 

Test automation has many benefits. Automation applies to all types of testing at any level. Automation reduces human effort and time to run tests. It also lowers the time to market and the costs of errors. The tests can be performed up to 10x faster than manual testing. This testing method is also more efficient because it covers 90% of the code. It reveals issues that may not be apparent in manual testing. Furthermore, it can be scaled up as the product grows. 

Regression Testing

Regression testing refers to testing software behavior following updates to verify that changes have not adversely affected existing system functions, stability, or overall integrity. Regression testing is possible at all levels. However, the most popular regression testing method is to test according to specific use cases. To avoid repeating manual tests after every update, the regression quality assurance workflow can easily be automated. There are many methods of regression testing:

· All test cases must be retested 

· Choose specific test cases 

· Prioritizing test cases so that the most important ones are tested first and then the rest. 

· Hybrid techniques 

Future of Testing

Testing is a constant evolution of technology to meet changing business needs. It adopts new tools to allow testers to push the limits of quality assurance.

Security, artificial intelligence, and big data are some new subjects that will impact software testing shortly.

  • Security

According to the World Quality Report, security is a key component of any IT strategy. Security input is essential to protect the business. Security vulnerabilities can seriously damage a brand's reputation. Test environments and test data are the biggest challenges in QA testing today.

The security of test environments is also a concern due to privacy and data protection laws. Businesses must immediately notify authorities if an environment contains personal data or suffers a security breach. It is crucial that test environments can detect data breaches.

Security testing is most popular in cloud environments. It aims to identify system flaws and assess how it can protect itself against unauthorized access, hacking, or any other code damage. Security testing is done on the code of the application.

These are the four key areas of security testing.

1. Network security 

2. Software Security 

3. Application security for clients 

4. Security of server-side applications 

Security testing should be included in the software development process.

  • Artificial Intelligence

Testing is becoming more difficult. Many situations require artificial intelligence to test these solutions. Machine learning-based algorithms and different implementations of AI will soon be embedded in applications that perform tasks previously reserved for humans.

While test automation solutions for intelligence are still not well-established, it is clear that the shift to more intelligence in testing will be a constant. Future trends in test automation include cognitive automation, machine learning, and self-remediation.

You don't need to create extensive tests manually. Instead, you simply show the service the workflow you wish to test, and it will perform those tests. Mabel can adapt automatically to minor user interface changes, alert developers to JavaScript errors, broken links, and increased load times, and even notify developers of any visual changes or JavaScript errors.

Smarter automation solutions are essential to test the new intelligent products and applications in rapidly changing business environments.

  • Big Data

Data compliance and big data are the main concerns in test data management.

First, many protection laws have been introduced. Simply copying real-world data can lead to violations. In May 2018, the EU's General Data Protection Regulation was made the law for all EU-based companies. Data compliance is a top priority for most IT departments, despite the risk of substantial fines.

A second challenge is managing large amounts of data continuously uploaded to different platforms. Traditional testing methods can't cope with this.

Big data testing is used to verify data processing and quality. Data quality checks involve characteristics like conformity, accuracy, duplication, consistency, validity, data completeness, etc. Data processing verification includes performance and functional testing. Because big data processing is extremely fast, it requires high-level testing skills.

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There are many other examples of software incidents that have caused similar damage. History has numerous more. Testing is still a controversial topic in software development. Many product owners question the value of testing as a separate process. This puts their products and businesses at risk while they try to save money.

Although it is commonly believed that testing is only about finding bugs, testing and quality assurance (QA) have a larger impact on product success. QA engineers bring value to the software by deeply understanding both the client and the product. Testers can also provide customers with additional services such as tips, guidelines, and product user manuals by applying their deep knowledge of the product. This leads to lower costs of ownership and better business efficiency.

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