The current work outlines the creation of a system to facilitate collaborative software design. based on the observation of system use during real-world design sessions, an iterative development strategy has been empl...
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The proceedings contain 46 papers. The special focus in this conference is on Web engineering. The topics include: Inclusive Counterfactual Generation: Leveraging LLMs in Identifying Online Hate;decentralized Sea...
ISBN:
(纸本)9783031623615
The proceedings contain 46 papers. The special focus in this conference is on Web engineering. The topics include: Inclusive Counterfactual Generation: Leveraging LLMs in Identifying Online Hate;decentralized Search over Personal Online Datastores: Architecture and Performance Evaluation;tag-Aware Recommendation based on Attention Mechanism and Disentangled Graph Neural Network;autoMaster: Differentiable Graph Neural Network Architecture Search for Collaborative Filtering Recommendation;a Multi-model Recurrent knowledge Graph Embedding for Contextual Recommendations;Data Augmentation Using BERT-based Models for Aspect-based Sentiment Analysis;Streamlining Vocabulary Conversion to SKOS: A YAML-based Approach to Facilitate Participation in the Semantic Web;the Open V2X Management Platform;DyST: Dynamic Specification Mining for Heterogenous IoT Systems with WoT;SeamlessMDD: Framework for Seamless Integration of Generated and Hand-Written Code;EdgER: Entity Resolution at the Edge for Next Generation Web Systems;AuthApp – Portable, Reusable Solid App for GDPR-Compliant Access Granting;Hook-in Privacy Techniques for gRPC-based Microservice Communication;trusting Decentralized Web Data in a Solid-based Social Network;combining Anti-typosquatting Techniques;the Programmable World and Its Emerging Privacy Nightmare;weakly-Supervised Left-Center-Right Context-Aware Aspect Category and Sentiment Classification;subjectivity, Polarity and the Aspect of Time in the Evolution of Crowd-Sourced Biographies;investigating the Usefulness of Product Reviews Through Bipolar Argumentation Frameworks;interaction Design Patterns of Web Chatbots;estimating Diffusion Degree on Graph Stream Generated from Social and Web Networks;task Manager of Quantum Web Services Through a Load Balancing Solution;How Many Web APIs Evolve Following Semantic Versioning?;GitHub-Sourced Web API Evolution: A Large-Scale OpenAPI Dataset;matchCom: Stable Matching-basedsoftware Services Composition in Cloud Computi
The modern digital age demands the skills to be able to assess information. In the current world, access to information and knowledge is abundant from different sources. Indeed, high-quality data are much needed in ed...
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This case study offers an in-depth analysis of the foundational role of documentation for software quality, efficiency, and organizational success. It includes an inside look how a start-up overcame inefficiencies and...
This case study offers an in-depth analysis of the foundational role of documentation for software quality, efficiency, and organizational success. It includes an inside look how a start-up overcame inefficiencies and scaling challenges by implementing a sociotechnical documentation practice, and 10 recommendations for implementation or assessment based the case study data and a wider analysis of research and expertise. Time pressures of agile workflows that prioritize writing code, coupled with rapidly scaling software and startups, create an environment where documentation often takes a back seat. But its value to organizations and engineering teams as a source of knowledge and a practice of knowledge sharing becomes clear when critical inefficiencies and even chaos to prompt an overhaul of norms and behaviors. The experience at Remesh demonstrates the value of an ethnographic approach to gain a holistic understanding of engineering and work practices and to implement positive change.
In order to solve the problem of insufficient coordination of knowledge points in environment art works caused by low efficiency and strong randomness of automatic paper generation in the traditional environment art w...
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Detecting code smells is vital for improving software quality, improving its maintainability, and reducing software failures and faults. Code smell detection using machine learning-based methods has become more preval...
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A comprehensive and systematic visual analysis of the current state of defense budget research aids researchers in gaining a clearer understanding of its characteristics, identifying research hotspots, and discerning ...
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Deploying machine learning models to production is challenging, partially due to the misalignment between softwareengineering and machine learning disciplines but also due to potential practitioner knowledge gaps. To...
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ISBN:
(纸本)9781665417280
Deploying machine learning models to production is challenging, partially due to the misalignment between softwareengineering and machine learning disciplines but also due to potential practitioner knowledge gaps. To reduce this gap and guide decision-making, we conducted a qualitative investigation into the technical challenges faced by practitioners based on studying the grey literature and applying the Straussian Grounded Theory research method. We modelled current practices in machine learning, resulting in a UML-based architectural design decision model based on current practitioner understanding of the domain and a subset of the decision space and identified seven architectural design decisions, various relations between them, twenty-six decision options and forty-four decision drivers in thirty-five sources. Our results intend to help bridge the gap between science and practice, increase understanding of how practitioners approach deployment of their solutions, and support practitioners in their decision-making.
In this work, we propose a general regularized function-learning framework of contextualized word embeddings, named Generative Adversarial Learning of Syntagmatic and Paradigmatic structure of Context (GAL-SPC), aimin...
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This paper presents a novel application of Large Language Models (LLMs) to improve Failure Mode and Effect Analysis (FMEA) for managing risks in technical processes and products. We designed an LLM multi-agent system ...
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