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Dynamic Checks of Evidence Models for Assurance Projects in Eclipse OpenCert
(Springer, 2022)
The modelling of regulatory frameworks and industry stan dards, including their argumentation and expected evidence, are used during assurance processes to demonstrate the compliance of systems. However, this is handled ...
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DemaBot: a tool to automatically generate decision-support chatbots
(CEUR Workshop Proceedings (CEUR-WS.org), 2021)
This article presents DemaBot: a low-code solution to create chatbots designed to automate decision making. Examples of these chatbots range from COVID-19 screening to first-line incident support, amongst others. Using ...
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Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation
(IOS Press, 2024)
The development of smart homes, equipped with devices connected to the Internet of Things (IoT), has opened up new possibilities to monitor and control energy consumption. In this context, non-intrusive load monitoring ...
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Mutation testing in the wild: findings from GitHub
(Springer, 2022)
Mutation testing exploits artificial faults to measure the adequacy of test suites and guide their improvement. It has become an extremely popular testing technique as evidenced by the vast literature, numerous tools, ...
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Automated Generation of Realistic Test Inputs for Web APIs
(Association for Computing Machinery (ACM), 2021)
Testing web APIs automatically requires generating input data values such as addressess, coordinates or country codes. Generating meaningful values for these types of parameters randomly is rarely feasible, which means a ...
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Guidelines to build PLS-DA chemometric classification models using a GC-IMS method: Dry-cured ham as a case of study
(ScienceDirect, 2022)
The number of representative samples to build a calibration model plays a major role in the success of chemometric models for class discrimination; therefore, knowing which samples should be used for the calibration of ...
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An encoder–decoder approach to mine conditions for engineering textual data
(ScienceDirect, 2020-05)
Data engineering seeks to support artificial intelligence processes that extract knowledge from raw data. Many such data are rendered in natural language from which entity-relation extractors extract facts and opinion ...
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Variability in Data Visualization: a Software Product Line Approach
(ACM: Association for Computing Machinery, 2022)
Data visualization aims to effectively communicate quantitative information by understanding which techniques and displays work better for different circumstances and why. There are a variety of software solutions capable ...
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Empirical analysis of the tool support for software product lines
(Springer Science and Business Media Deutschland GmbH, 2022)
For the last ten years, software product line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. ...