Generative AI is a type of deep learning that can generate new data or content similar to the original data or content. For example, generative AI can create realistic images of faces, animals or landscapes that do not exist in reality, as well as create text that imitates the style and t...
Test Case Generation: Using Generative AI, we have made the process of test case generation automatic. This has not only facilitated our testing but also expanded the scope of the test, making the software more effective. Text Editing Tasks: Our web ops team forLuminspecializes in utilizing Gen...
The business rationale: As Gonzalez explains, allowing gen AI to handle test case generation would be “far better, faster, and cheaper” than a traditional labor-intensive manual process. It also gives IT ops teams a valuable tool to reduce risk (and technical debt) “to show that whatever...
In the realm of software engineering, the automation of test case generation represents a significant advancement towards improving efficiency and reliability. This paper introduces a novel approach to automate the generation of test cases from class diagrams using generative artificial intelligence (AI)....
Generative AI’s ability to provide novel ideas can open up new revenue streams for your company and foster business development. Enabling cross-cultural collaboration and communication. With superb possibilities in natural language understanding, generation, and translation, generative AI development ...
Master Generative AI in Software Testing with Practical, Hands-On Techniques for Beginners to Advanced Experts. What you’ll learn Understand the fundamentals of Generative AI and its applications in software testing, including automated test case generation and test data creation ...
CIOs and CTOs should review their tech-debt balance sheets to determine how generative AI capabilities such as code refactoring, code translation, and automated test-case generation can accelerate the reduction of technical debt. IT operations (ITOps): CIOs and CTOs will ...
With generative AI, startups and large organizations can immediately extract knowledge from their proprietary datasets. For example, you can build custom applications that speed up content generation for in-house creative teams or end customers. This can include summarizing source materials for crea...
which the discriminator then evaluates. This process can be either automatic, using a reward system that automatically reinforces the generator's behavior when its output is good enough to pass for the real thing, or manual, using feedback or ratings from human users to tell the AI whether it...
artificial intelligence; generative AIs; AI program code generation; program code efficiency; program code maintainability1. Introduction Generative AIs have increasingly become an integral part of our everyday lives [1]. Particularly, generative AIs for text generation are engineered to replicate human-...