Agile is an iterative approach to creating software that helps development teams deliver faster, higher quality, more responsive software projects. Rather than focusing on a single launch where the finished product is released, Agile methodology delivers work in smaller increments.
Agile software testing
With the accelerated pace of Agile methodology, traditional testing timelines no longer work. To ensure the quality of applications and that software meets business requirements, Agile software testing must be performed throughout the SDLC.
Agile testing is a continuous effort and is team-driven and adaptive. Testing is embedded throughout the software delivery pipeline, and everyone is involved.
Annex 11 guide Annex 11 is a regulatory requirement for organizations that manage and store data using electronic systems. It lays out the principles and guidelines that organizations must adhere to in order to ensure the dependability, security, and integrity of electronic records and signatures.
Automated software testing
Automated software testing solutions can overcome the challenges of testing applications in accelerated timelines, eliminating roadblocks, and allowing organizations to achieve true digital transformation.
Automated testing tools
Traditional software testing tools are often a barrier to improvements in the speed and agility of software releases, particularly for organizations as they adopt Agile and DevOps.
Black box testing
As developers examine their own code, they bring their own biases to each test, frequently limiting their ability to see software from a user’s perspective or testing the application in unexpected ways.
How would your software respond under unexpected and chaotic conditions? That’s where chaos engineering can help.
To ensure a smooth cloud migration, testing is essential to ensure that the applications that have been moved to the cloud are correct.
Continuous integration can help accelerate development timelines while reducing the cost of finding and fixing defects within an application.
Data integrity covers the consistency, accuracy, and correctness of data that’s stored within a database. There are three essential types of data integrity.
DevOps is an approach to development that eliminates barriers between departments that are typically siloed. DevOps testing refers to the practices and tools for testing within that environment.
Differences between load tests and stress tests
Similar but not the same — load testing is a process that verifies the response time of an application or website by simulating user behavior during normal and heavier loads. The stress test determines system stability and robustness. To do this, it generates an operating load several times greater than that considered necessary for the proper functioning of the system.
Dynatrace and Neoload integration
Delivering optimal application performance and seamless user experience is crucial in today’s competitive market. With the increasing complexity of applications, performance testing has become an indispensable aspect of the development and deployment process. The integration of Dynatrace and NeoLoad offers a powerful combination that elevates performance testing capabilities.
End-to-end testing offers tremendous value for DevOps teams and others who have to ensure all software components are working but also integrated systems.
In functional tests, testers identify what an application is supposed to do and run a series of tests to make sure that it performs as expected.
Good Automated Manufacturing Practice
Good Automated Manufacturing Practice (GAMP) is a set of best practices that was primarily designed to guide manufacturers and users of automated systems in the pharmaceutical industry. It ensures overall quality through the validation of equipment, systems, operators, processes, and products.
Guide to FDA 21 CFR Part 210
Delve into these guidelines and shed light on the requirements that pharmaceutical manufacturers must follow to ensure the safety, quality, and efficacy of their products.
Guide to FDA 21 CFR Part 211
Discover FDA 21 CFR Part 211 (CGMP) impact on pharmaceutical manufacturing, compliance, and best practices. Build quality with Tricentis Vera for life sciences.
Jira test case management
While Jira is generally well-liked for collaboration, it has limitations that lead many teams to seek alternatives that can be easily integrated and scaled for the purpose of test case management, particularly for the enterprise.
Jira test management
Test management tools assist in planning and designing test strategies, capturing requirements, executing tests, and analyzing results. Jira is a popular tool with many great features, but for test management it has several disadvantages when used alone.
Jira testing tool
Testing with Jira offers certain advantages, including the ability to consolidate workflows for developers, testers, and QA teams on a single platform. But a Jira testing tool also presents significant challenges that developers and testers must overcome to achieve software testing goals, particularly when it comes to scalability, efficiency, and automation.
JMeter compared to NeoLoad
Check out the difference across test design, script maintenance, web tech support, and maintenance costs.
QA testing tools
Quality assurance (QA) testing is designed to ensure that each software release meets project requirements, provides a great UX, and has as few defects as possible.
Regression testing essentially involves re-running test cases that have already been executed to make sure software works as intended, without breaking software, i.e., going backwards or “regressing.”
What happens when only half of an application’s dependencies can be reliably accessed for testing? That’s where service virtualization can help, stabilizing access to dependent systems so that tests can execute completely, reliably, and continuously.
Software test automation
Software test automation focuses on automating the validation of applications and services against requirements.
Software test automation tools
Software test automation tools are the technologies that automate the processes of scheduling and running tests, tracking progress, and reporting results.
For enterprises seeking to deliver innovative software faster than competitors, software testing can be seen as both a roadblock and a necessity.
Software testing lifecycle
The software testing lifecycle is a framework that helps teams manage testing more effectively, efficiently, and confidently.
Software testing tools
Modern testing tools alleviate many roadblocks found in traditional methods and tools, allowing teams to deliver software faster, more efficiently and with better quality outcomes.
Stress testing refers to tests that determine the software robustness by testing beyond the limits of normal conditions.
Test automation is focused on automating the validation of applications and services against requirements.
Test automation tools list
Test automation tools include solutions focused on unit tests, API/service testing, user interface functional testing, as well as load and performance testing.
Test management tool
A superior test management tool can help to reduce the complexity of simultaneously managing multiple tests and integrating testing into all stages of the software development lifecycle (SDLC).
Many varieties of software testing tools are available today, but most tools fall into several key categories and can include both manual and automated testing options to support various the needs and maturity levels of an organization’s testing practices.
Jira is an application for issue and project tracking in software development that has been widely adopted by teams working with Agile.
Unit testing is often a first-level testing practice, as it’s part of a software testing protocol where individual units of source code are tested individually. This often utilized to find defects early on in the development process.
White box testing
White box testing is a technique for evaluating an application to ensure that it performs as intended. In a white box test, the code, design, and structure of the software are visible or known to testers.