Both fields have text format and require natural language processing. This paper introduces some techniques to classify defect reports according to areas of testing, using the data of two text fields and natural language processing methods and tools....
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Ziebart Advances in Neural Information Processing Systems Advances in Neural Information Processing Systems, Mit Press, Montreal, Quebec, Canada (2014) Google Scholar 13. S. Hu, K. Zhang, Z. Chen, L. Chan Uncertainty in Artificial Intelligence Uncertainty in Artificial Intelligence, Curran Associates...
We use the software in day-to-day life, such as at home, work, banking, shopping, etc. However, at times, the software does not work as expected. For instance, website not loading correctly, an error on a bill, a delay in credit card processing, are typical examples of problems that...
InnerVoice is an in-process monitoring hardware and software platform which detects defects in real-time for welding and joining.
Avizo Software (in-line version) pre-processes data pushed to a DICOM/DICONDE server; performs pre-processing, such as multi-part splitting, part registration to reference model, and acquisition artifact reduction; then dispatches the pre-processed ...
9 RegisterLog in Sign up with one click: Facebook Twitter Google Share on Facebook defect analysis (programming) Using defects as data for continuous quality improvement. Defect analysis generally seeks to classify defects into categories and identify possible causes in order to direct process improve...
natural-language-processingtopic-modelingsupport-vector-machinelatent-dirichlet-allocationdefect-prediction UpdatedOct 25, 2019 Jupyter Notebook Defect prediction guided search-based software testing (SBST-DPG) defect-predictionautomated-test-generationsearch-based-software-testing ...
This repo contains data pre-processing, classification and defect detection methodologies for images from Advance XRay Inspection from multi-layer PCB boards. Proprietary AXI image dataset is not included in this repo. Users can use their own datasets on top of the OOP data extraction layer and ne...
It is possible due to the tools provided by the platform, which allow data acquisition, data pre-processing, design of machine learning classifiers adapted to the gathered data, deployment of the functional models in run-time and subsequently the model’s output access on third-party applications...