Software Testing Methodologies Guide: A High-Level Overview
By Ricardo Camacho
March 17, 2022
9 min read
Part of what separates the best software development companies from the rest is the depth of software testing they carry out on their software products. But, how do they do this? Learn in this high-level overview.
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High-quality, safe, secure, and reliable software systems are delivered because developers, engineers, and programmers conduct rigorous software testing as part of a go-to-market strategy.
The benefits of testing are simple. Flush out defects, prevent bugs, reduce development costs, improve performance and prevent litigation. As developers of software testing, we fundamentally believe it should be baked into all phases of the software development process.
In the past, few software engineers, developers, or quality assurance engineers viewed the software testing process holistically. Traditionally, software testing has been separated from the rest of development, left to be executed near the end of the development cycle by quality assurance engineers.
If defects were found, the fixes would most likely be costly and release dates would be pushed out—tossing away company credibility and stakeholder confidence. The result was increased costs and shrinking profits.
In this high-level overview of testing, we’ll put all the pieces of the software testing puzzle together. We’ll cover:
- What is testing?
- Who performs testing?
- When to start testing?
- What are software testing methodologies?
- What are the types of software testing?
- When is testing completed and put to an end?
- How does Parasoft help with testing?
What Is Testing?
Testing can be defined as a process of analyzing a software item to detect the differences between existing and required conditions and to evaluate the features of the software item. In this process, we validate and verify that a software product or application does what it’s supposed to do. The system or its components are tested to ensure the software satisfies all specified requirements.
By executing the systems, we can identify any gaps, errors, or missing requirements in contrast with the actual requirements. No one wants the headaches of bug fixes, late deliveries, defects, or serious malfunctions resulting in damage or death.
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Who Performs testing?
The people who perform testing and develop testing processes vary greatly from one organization to another. Companies have different designations for people who test the software based on their experience and knowledge, so it depends on the process and the associated stakeholders of a project. Titles such as software quality assurance engineer and software developer are common. These are some general titles and their functions for testing.
QA engineer/software testers are responsible for flushing out defects. Many are experts with software and systems analysis, risk mitigation, and software-related issue prevention. They may have limited knowledge about the system, but they study the requirement documentation and conduct manual and automated tests. They create and execute test cases and report bugs. After development resolves the bugs, they test again.
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Software developers may know the entire system—from beginning to end. They’re involved in the design, development, and testing of systems so they know all the guidelines and requirements. Additionally, they’re highly skilled in software development, including test automation.
Project lead/managers are responsible for the entire project—product quality, delivery time, and successful completion of the development cycle. When product issues arise, it’s the product manager who prioritizes the timeframes for resolving the issues.
End users are the stakeholder or customers. Beta testing is a pre-release version of the software, which helps ensure high-quality and customer satisfaction. Who best to determine if the product being delivered is in the trajectory to satisfy its acceptance.
System engineers design and architect the system from gathered requirements and concepts. Because of the body of knowledge, they possess on the system they define system-level test cases to be later realized by the QA team and/or software developers. Verification of requirements to test cases is also performed. In highly complex systems where modeling is used, tests through model execution of the logical and/or physical system design are often performed by system engineers.
When to Start Testing?
An early start to testing is best because it reduces costs as well as the time it takes to rework and produce a clean architectural design and error-free software. Every phase of the software development life cycle (SDLC) lends itself as an opportunity for testing, which is accomplished in different forms.
For example, in the SDLC, a form of testing can start during the requirements gathering phase. Requirements have to be clearly understood. Going back to the stakeholders for clarification and negotiation of requirements is a form of testing the interpretation of the stakeholder requirements to ensure the right system is built. This is a vital part of product and project management. Test cases for acceptance testing also need to be defined.
It’s important to understand that test cases defined during the system engineering phase are text-based test cases that explain what and how the system should be tested. These test cases will later be realized by the development and/or the QA team, built from the system’s engineers’ text-based test case as well as the linked requirement. The validation or execution of the realized test cases will produce the pass/fail results that provide proof of proper functionality and can also be used for any compliance needs.
The requirements decomposition and architectural design phase further detail the system at another level of abstraction. Interfaces are defined and if modeling using SysML, UML, or other language is performed, testing the architecture through simulation to flush out design flaws is another vital task.
During this process, additional requirements are defined, including the test cases that verify and validate each of them. Additional decomposition takes place producing the detailed design.
Ultimately, system-level requirements trace to system-level test cases, architectural requirements trace to integration testing test cases and the detail design requirements or low-level requirements will trace to unit test cases. Verification of requirements can start taking place to ensure that every requirement traces to a test case. A requirements traceability matrix is perfect for finding traceability gaps.
When the handoff from system to software engineers takes place, developers will begin their implementation based on requirements. Here, software developers apply or should apply coding standards to ensure code quality. Static code analysis, which is a form of testing and at the earliest stages of the implementation phase, when it’s also the cheapest to fix, will find coding defects as well as safety and security issues. Unit testing will follow, and each realized unit test case must be linked back to the low-level requirements or test case it realizes.
As the implementation of the system evolves, the test cases defined earlier during the systems engineering process must be realized and executed against the system under development. Starting with unit testing, followed by integration testing, system testing, and acceptance testing. In addition, based on quality-of-service type of requirements, other test methods may need to be performed, like API testing, performance testing, stress testing, portability testing, usability testing, and so on.
What Are Software Testing Methodologies?
Software testing methodologies are the strategies, processes, or environments used to test. The two most widely used SDLC methodologies are Agile and waterfall, and testing is very different for these two environments.
For example, in the waterfall model, formal testing is conducted in the testing phase, which begins once the development phase is completed. The waterfall model for testing works well for small, less complex projects. However, if requirements are not clearly defined at the start, it’s extremely difficult to go back and make changes in completed phases.
The waterfall model is popular with small projects because it has fewer processes and players to tend with, which can lead to faster project completion. However, bugs are found later in development, making them more expensive to fix.
The Agile model is different from the waterfall model and is best suited for larger development projects. Agile testing is an incremental model where testing is performed at the end of every increment or iteration. Additionally, the whole application is tested upon completion of the project. There’s less risk in the development process with the Agile model because each team member understands what has or has not been completed. The results of development projects are typically better with Agile when there’s a strong, experienced project manager who can make quick decisions.
Other SDLC models include the iterative model and the DevOps model. In the iterative model, developers create basic versions of the software, review and improve on the application in iterations—small steps. This is a good approach for extremely large applications that need to be completed quickly. Defects can be detected earlier, which means they can be less costly to resolve.
DevOps Approach & Continuous Testing
When taking a DevOps approach to testing, or continuous testing, there’s a collaboration with operations teams through the entire product life cycle. Through this collaboration, development, and operations teams don’t wait until the software is built or near completion to do testing. That means the software delivery process is faster, defects are detected earlier and are less expensive to resolve.
Continuous testing uses automated testing and automation tools as components of the software development pipeline to provide immediate feedback on any business risks that might exist.
What Are the Types of Software Testing?
The most common types of software testing include:
- Static analysis
- Unit testing
- Integration testing
- System testing
- Acceptance testing
Static analysis involves no dynamic execution of the software under test and can detect possible defects in an early stage, before running the program. Static analysis is done during or after coding and before executing unit tests. It can be executed by a code analysis engine to automatically “walk through” the source code and detect noncomplying rules, or lexical, syntactic, and even some semantic mistakes.
Static code analysis tools assess, compile, and check for vulnerabilities and security flaws to analyze code under test. Parasoft’s static analysis tools help users manage the results of testing, including prioritizing findings, suppressing unwanted findings, and assigning findings to developers. These tools support a comprehensive set of development ecosystems to integrate into an extensive list of IDE products to conduct static analysis for C, C++, Java, C#, and VB.NET.
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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.
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.
Using Parasoft to perform branch, statement, and MC/DC coverage is a form of unit testing. The software is isolated to each function and these individual parts are examined. The limitation of unit testing is that it cannot catch every bug in the application as it does not evaluate a thread or execution path in the application.
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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. Testing begins with unit testing, followed by tests of progressively higher-level combinations of units called modules or builds.
- Top-down integration testing. In this testing, the highest level modules are tested first, and progressively, lower-level modules are tested thereafter.
System testing tests the system as a whole where it is considered a black box and there is no need to understand the inner workings of the system under test. System testing is performed once all the components are integrated, the application as a whole is tested rigorously to see that it meets requirements. This type of testing is performed by the quality assurance testing team.
- System testing is where the system or application has been fully implemented and to be tested as a whole.
- The application is tested thoroughly to verify that it meets functional requirements, quality of service requirements and business requirements.
- The application is tested in the final production environment or one that is very close to the production environment where the application will be deployed.
- System testing enables organizations to gain a sense of time-to-market when passing results are achieved.
This is arguably the most important type of testing, as it is conducted by the quality assurance team 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.
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When Is Testing Completed and Put to an End?
It’s difficult to determine when to stop testing, as testing is a never-ending process, and no one can claim that software is 100% tested. However, there are criteria to consider that can serve as indicators for putting a stop to testing.
- Management decision. Perhaps the simplest and most common way to know testing is halted is when management decides to stop the testing process. Management’s decision may be due to time or budget constraints, which may compromise quality. The decision may simply be that the project has reached the extent of required testing—meaning testing deadlines have been reached.
- Completion of test case execution. Upon the completion of test cases, the test case pass rate should be at 95% and all of the critical test cases have passed. The 5% that fail should be low priority test cases.
- Completion of requirements and robustness testing. Developers and testers can analyze data from the test results to make sure the application operates as expected and receives a passing result for every defined requirement. Additionally, all major functional flows are successfully executed with various inputs and work well.
- Code coverage to a pre-specified percentage. Instrumenting your code and running all your test cases will provide not only a percentage of the code tested, but also expose code that was not been executed, which potentially has hidden bugs. Some organizations are comfortable obtaining 80% and higher code coverage, while other organizations require 100% statement, branch, and modified condition decision coverage.
- The bug rate falls below a certain level. When bug rates fall below a predetermined level and no high-priority bugs are identified, testing can be halted.
How Does Parasoft Help With Testing?
Parasoft helps you deliver quality software that’s safe, secure, and reliable, at scale with automated testing solutions that span every stage of the development cycle. Parasoft’s software test automation solutions provide a unified set of tools to accelerate testing by helping teams shift testing left to the early stages of development while maintaining traceability, test result record-keeping, code coverage details, report generation, and compliance documentation.
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