This article explains the fundamentals of application testing, the methodologies behind it, how a test plan comes together, and where different tools, including no-code and business-process-assurance platforms, fit depending on the risk you're managing.
Application testing is the process of evaluating the functional proficiency of software applications to ensure that they deliver on their performance metrics. A wide range of testing tools, scripts, and frameworks are utilized to test different aspects of a developing application. Application testing checks whether a given software can perform reliably under real-world conditions before it is released to the wider market.
Identification of errors or performance issues in the early stages of application development helps organizations correct these issues before the final stage of software production. This helps QA and IT teams build more robust and high-quality applications, leading to improved customer satisfaction and trust. For enterprise applications tied to ERP and connected systems, that also means confirming the underlying business process still completes correctly end to end, not just that the screen responds.
Application testing can be a complex and highly differentiated process where each feature of a developing application is tested to check its performance. Here are some common methodologies applied during an application testing cycle.
|
Methodology |
What it Examines |
Common Techniques |
|
Black Box Testing |
Functional behavior only, no internal code or structure |
Boundary value analysis, equivalence partitioning, use case testing |
|
White Box Testing |
Internal code, architecture, and logic structure |
Statement coverage, path coverage, branch coverage |
|
Grey Box Testing |
A blend of behavior and partial internal knowledge |
Blended techniques drawing on both black box and white box methods |
Black box testing is an application testing method that assesses the functional performance of an application without checking its internal structure or coding. Testers focus solely on the behavior of a given software by examining how it interacts with user inputs. The internal framework and programming of the application are set aside as a black box, and its utility is evaluated from an end-user perspective. Some popular black box testing methods include boundary value analysis, equivalence partitioning, and use case testing.
White box testing focuses on examining the internal structure or programming of a software application. Also called clear box or structural testing, this method is used to analyze the coding, development architecture, and framework design of a developing application. White box tests try to verify the individual components of an application while checking for consistency in logic structures and associated coding scripts. Some popular white box testing techniques include statement coverage, path coverage, and branch coverage. These techniques aim to offer insights into the internal code quality and reliability of an application.
Grey box testing combines elements of both black box and white box testing to create unique techniques for application testing. Oftentimes, testers can only access a limited understanding of the internal structure of a developing application, and customized tests need to be created to get further insights. Grey box tests are designed to test specific features of an application that require an integrated understanding of their internal coding as well as outward performance. This application testing method is used to assess the software's overall functionality by applying blended testing methodologies.
Every application, and every business process running through it, needs a structured plan for how it will be validated before release. Here's what that typically includes.
The first step of a test planning process is to define the purpose, scope, and key objectives of a particular test. This step is crucial for guiding the development and further execution of a test strategy.
A combination of testing methodologies is used to develop a unique testing framework to measure pre-defined performance indicators. This involves detailing the approach, tools, and environments that will be used in executing a testing cycle.
A single application testing cycle is made up of multiple phases which check different levels of software performance. Teams need to define the infrastructural and skill requirements of each test phase before embarking on executing them. The main phases of an application test cycle include functional testing, performance testing, usability testing, security testing, and regression testing.
In this stage, testing scripts and workflows are run to complete a full application testing cycle. Test cases are executed according to a predefined schedule, and their results are recorded in a systematic manner. This step is key to validating the quality and reliability of an application before it is deployed in the real world.
The results obtained in the test execution stage are analyzed and studied to understand the performance of a given application. The parts and features that work well are approved by testers, while those that show faulty performance are examined and rebuilt. Feedback is collected about the overall utility of a test cycle, and suggested improvements are used to fuel future testing scenarios.
Application testing draws on a mix of manual and automated tools, and increasingly, no-code platforms that let business teams participate directly rather than routing everything through engineering. Here's where some of the market's most common tools fit.
|
Tool |
Category |
Codeless |
Best For |
ERP Coverage |
|
Avo Assure |
Business process assurance |
Yes |
Enterprises running D365, SAP, Oracle, Salesforce |
Full coverage across D365, SAP, Oracle, Salesforce, ServiceNow |
|
Selenium |
Open-source framework |
No |
Existing large legacy test suites |
No ERP surface |
|
Testsigma |
Cloud AI-native platform |
Yes |
Teams testing across many app surfaces at once |
Generic ERP support, no named depth |
|
Katalon (True Platform) |
AI-augmented full lifecycle |
Yes |
Mixed-skill QA teams, web, API, and desktop |
Not ERP-specific |
|
Playwright |
Open-source framework |
No |
Developer-led web automation |
No ERP surface |
Avo Assure goes beyond conventional test automation to deliver Enterprise Business Process Assurance. It uses Business-Aware, Accountable AI and a no-code approach to let business analysts, functional consultants, and IT teams validate critical, end-to-end business processes across ERP systems like Dynamics 365, SAP, and Oracle, not just individual screens or scripts. For a closer look at how no-code and agentic AI fit together, see No-Code Test Automation: Benefits & Challenges.
Selenium is an open-source automation testing platform that focuses on browser-based web application tests. It consists of a variety of pre-framed testing toolkits such as the Selenium WebDriver for creating regression testing suites, the Selenium IDE for bug detection and exploratory testing, and the Selenium Grid for scaling by running tests on multiple machines. It has no built-in self-healing or codeless mode, and every UI change typically means a manual locator update.
Testsigma is a cloud-based, AI-powered platform for web, API, and desktop testing, with natural-language test authoring and an agentic AI layer that spans generation, optimization, and maintenance to reduce upkeep as applications change. It handles broad surface coverage well, though very complex, multi-condition business logic can produce less reliable generated output.
Katalon's True Platform pairs no-code, low-code, and full-code authoring with purpose-built AI agents covering requirement analysis through release-readiness recommendations, making it a strong fit for mixed-skill QA teams that want manual testers, automation engineers, and QA managers working in one system. It is not built around ERP-specific business processes, so cross-system SAP or D365 validation isn't a native strength.
Playwright is Microsoft's open-source browser automation framework, known for built-in auto-wait and multi-language support. It has no built-in enterprise application coverage for systems like SAP or Dynamics 365, so teams running ERP workloads typically pair it with a business-process-aware platform. For a fuller comparison of where each tool fits, including ERP-specific coverage, see Best Test Automation Tools 2026.
Application testing takes a mix of tools, frameworks, and skills, and few teams have all three in-house for every system they run. Avo Assure brings intelligent test creation, automation sustainability, and risk-driven governance into a single no-code platform, so IT and business teams can validate critical processes across ERP and enterprise applications without depending on a developer for every test. Across its enterprise customer base, Avo Assure has driven up to 85% less maintenance effort and 80% less effort to create and execute tests.
If your team is evaluating how to close that gap, Book a Demo is a good next step.