Abstract: Software bug prediction still represents a fundamental problem in modern software engineering as system complexity grows exponentially. This paper presents a new machine learning approach ...
From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...
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When defects cost the nation: The hidden price of poor software quality in cloud migrations
Defects that escape into production during migrations quietly multiply cost, risk and compliance exposure – quality built in (not bolted on) is now a national competitiveness issue. Issued by Kinetic ...
In this study, we propose a novel defect localization method that integrates the graph neural network (GNN) with the finite element method (FEM) to estimate the three-dimensional location of defects ...
On a desert airstrip, swarms of autonomous drones rise into the sky — a glimpse of the Pentagon’s vision for future war. The Navy has even shown it can update combat software mid-deployment, ...
As the semiconductor world excitingly explores the potential of new advanced package solutions for their intricate and novel designs, challenges arise from undetected defects caused by the complexity ...
Following delays and software defects, full-rate production has been approved for the F/A-18 E/F Infrared Search and Track system, according to a Navy spokesperson, with an acquisition decision ...
Web and mobile testing company BrowserStack Inc. today announced the launch of BrowserStack AI, a suite of artificial intelligence agents designed to automate and enhance every stage of the software ...
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