Software testing in the machine learning eradoi:10.1007/s10664-023-10326-7Andrea StoccoOnn ShehoryGunel JahangirovaVincenzo RiccioGuy BarashEitan FarchiDiptikalyan SahaSpringer USEmpirical software engineering
Testing an AI-driven application is very different and requires the ability to measure and monitor the quality of the AI model and the application’s usage of the model to drive decisions. Advancements in machine learning have even raised doubts as to whether machines will take over testi...
Making sci-fi concepts an actuality is a widespread dream. Good news – futuristic tech is here, and it is ramping up. Testing the boundaries of technology reveals improvement routes and initiates innovation. ‘The future is now’ may be the motto for 2023. #5. Artificial intelligence AI has...
In an era of platform engineering, Buildkite and its high-scale users maintain that CI/CD pipelines and testing should remain the purview of app developer teams. Continue Reading By Beth Pariseau, Senior News Writer Definition 23 Sep 2024 What is finite element analysis (FEA)? Finite element...
Machine Learning (ML) or artificial intelligence (AI) tools are the hottest topics right now in the testing industry, however, QA managers and manual testers have little to no knowledge about it. Thus, Yarin, the co-founder of TestCraft will go deeply into the details of ML functionality and...
What is shift-right testing? Shift-right testing is a method of continuously testing software while it is in a post-production environment. Continue Reading By Corinne Bernstein Definition 09 Aug 2024 What is the software development lifecycle (SDLC)? The software development lifecycle (SDLC) is...
In this webinar, you learn how FPGA implementation verification can accelerate design flow, reduce testing in the lab, enable aggressive optimization usage, and dramatically reduce post-production risks. Early security verification Key to early identification of security vulnerabilities ON-DEMAND WEBINAR Pr...
What is Software Engineering? Software engineering is the process of designing, developing, testing, and maintaining software systems. Discover the purpose of this field, model, applications and more.
The software development landscape in 2024 is poised for rapid advancements in technology along with evolving security challenges. The need for thorough risk assessments, continuous testing, and compliance checks before full-scale deployments is unavoidable. The future of software development demands busines...
Plus, AI uses machine learning algorithms to learn from past tests to improve test case quality. AI in software testing helps teams cover more ground with fewer mistakes at a lower cost. The use of AI in software testing complements manual testing, making software testing more efficient and fas...