the microservices architectural style improves flexibility and performance but might come at the cost of complexity and cognitive effort. Understanding how architectural design decision affects cognitive effort can su...
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ISBN:
(纸本)9798350344172
the microservices architectural style improves flexibility and performance but might come at the cost of complexity and cognitive effort. Understanding how architectural design decision affects cognitive effort can support software engineers in designing and building more maintainable systems. However, little research exists measuring the impact of architectural styles on developers' cognitive processes. To the best of our knowledge, no empirical study on navigation and comprehension strategies compares a microservice-based and monolithic variant of a trading system, which is widely used for empirical research on information system evolution. To assess the cognitive processes, we conducted an eye-tracking study (n=42) of typical maintenance tasks. We randomly assigned participants to two groups performing a feature location and a code change task using the trading system's monolithic or microservices-based implementation. Efficacy is significantly higher in the monolith variant. We investigate the reasons and propose a cognitively-grounded method to analyse comprehension strategies and estimate maintenance effort. We measure differences in comprehension strategies (top-down and bottom-up comprehension) and conclude that 1) there is a significant difference in visual effort and time taken to identify a specific feature, and 2) bottom-up comprehension is more frequently applied in microservices than in the monolith variant. Finally, we discuss our findings and their implications for practitioners and the research community.
this paper achieves the conversion of monaural audio into spatially immersive stereo audio through the use of binaural speech synthesis and Pyroomacoustics. It integrates dynamic spatial perception withthe acoustic r...
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the development of an assistive device powered by machine learning (ML) for people with cognitive and mental disorders is highlighted in this abstract. the objective is to develop an intelligent system that will impro...
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the proceedings contain 81 papers. the special focus in this conference is on Medical and Biological engineering. the topics include: A Novel University Course on Medical Devices Design and Certification at&...
ISBN:
(纸本)9783031616273
the proceedings contain 81 papers. the special focus in this conference is on Medical and Biological engineering. the topics include: A Novel University Course on Medical Devices Design and Certification at the University of Siena;a Complex Spinal Surgery Lifting System for Prone Positioning;accurate and Interpretable Deep Learning Model for Sleep Staging in Children with Sleep Apnea from Pulse Oximetry;Active Compensation for OPM-MEG Inside a Two-Layer Magnetically Shielded Room;alarms Early Detection in Dialytic therapies via Machine Learning Models;an Everyday Hat for Detection of Eye Blinks and Forehead Clenching;an Innovative Solution for Efficient Workflow Management in Healthcare;an Explainable Deep-Learning Model to Aid in the Diagnosis of Age Related Macular Degeneration;analysis of Age-Related Variations in Photoplethysmography: A Machine Learning Approach;artificial Intelligence Advancements in Fetal Monitoring: Enhancing Prenatal Care;assessing Ergonomic Compliance in Industrial Environments with Markerless 3D Camera-based Systems;assessing Perfusion Changes in Clinical Oncology Applications Using Hyperspectral Imaging;Automatic Detection of Sympathovagal Response Using HRV Analysis. Case Study: Resident Surgeons During Training and their First Laparoscopic Surgery;bayesian Shannon Entropy for Assessing Patient’s Data Interrelation in Medical Applications;body Movement Analysis During Sleep based on Ultra-wideband Communication Channel Impulse Response Measurement;cardiac Phantoms for Signal Transmission Characteristics Analysis of Leadless Pacemakers;Combined Measurement of Brain Activation During a Motor Task Using fNIRS and OPM-MEG;Comet Assay in the Digital Era: A Review of the Use of Artificial Intelligence for the Analysis of DNA Damage based on the Results of the Comet Assay;Comparative Analysis of Depression Detection Using EEG Signals;comparison of Automatic and Semiautomatic Approach for the Posterior Nipple Line Calculation.
the goal of low-carbon development has had a significant impact on the power industry and it needs to be closely linked withthe carbon market. this linkage will inevitably promote the deep integration of the electric...
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In this work, we propose a novel approach to assess the similarity between 3D data, aimed at enhancing the accuracy and robustness of 3D shape analysis. Our approach begins withthe extraction of geometric features, i...
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this research studies the application of machine learning to enhance the security of data transport for the. of things (IoT). Conventional encryption methods might not be adequate in Internet of things scenarios becau...
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this study presents a comprehensive system for automated waste segregation using IoT technology. the system integrates various sensors and actuators to classify waste into dry, wet, and metallic categories, facilitati...
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the increasing intake of wind farms in power grids calls for the accurately evaluation of their voltage stability support capability to guide the operation and scheduling of power grids. this paper proposes a method f...
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the healthcare sector is increasingly benefiting from the integration of the Internet of things (IoT), particularly in the real-time monitoring of patients9; health conditions. One notable application involves the ...
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