Tag: Test Management

A12-TMT is mgm's new Test Management Tool: We spoke to Development Manager Oliver Storch (OS) and Product Owner Maria Kramer (MK) to gain an insight into its features and benefits. Find out how A12-TMT helps companies to make quality assurance in software projects of any size more efficient and successful.

In agile software development, efficient test management is crucial. A12-TMT provides an integrated history and versioning feature for test cases, heavily utilized with a frequency of every four minutes in the past year. This feature is a key support for test managers and project leaders in agile environments.

The automotive industry faces challenges extending beyond vehicle manufacturing. Quality assurance in software development plays a crucial role, not only for consumer safety but also to remain competitive amid technological shifts. In this dynamic environment, selecting the right software for quality assurance is pivotal. A12-TMT serves as a key seamlessly integrating into existing workflows, utilized by numerous companies for intelligent digitization of quality processes.

In the ever-evolving world of software development, Artificial Intelligence (AI) is rapidly gaining prominence, even in the realm of software testing. A promising advancement is on the horizon that will fundamentally change the way we create test cases. In a new feature currently under development for the A12-TMT Test Management Tool, AI combines various scientific methods to improve the efficiency and accuracy of test case creation.

In the complex world of software development, an effective testing process is critical to ensuring the quality and functionality of an application. The responsibility for these testing activities often lies in the hands of testers and software developers, who perform various types of tests to ensure that the software meets the requirements.

The development of enterprise software faces increasing challenges, especially in the context of complex systems. This underscores the importance of effective test management. Easy-to-use test management plays a central role in complex software development.

Developing bug-free software, especially for complex and mission-critical applications, is always a challenge. However, quality assurance in software development has evolved to the point where the number of system defects can be significantly reduced. In enterprise projects, specification-based, efficiency-based, and structure-based test design methods have dominated. However, risk-based testing has played a minor role. Given the increasing complexity and scope of software, the question arises under what conditions risk-based testing could play a greater role.

When developing complex software, identifying and prioritizing test cases is a challenging task. Traditional testing approaches can be inefficient and require constant adaptation to changing project conditions. Experienced test managers have recognized that the integration of probabilistic models, particularly Bayesian prediction models, enables a more precise and targeted testing strategy.