This paper explores the integration of generative AI and large language models into the realm of softwareengineering education and training, with a specific focus on the transformation of traditional peer assessment ...
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This paper explores the integration of generative AI and large language models into the realm of softwareengineering education and training, with a specific focus on the transformation of traditional peer assessment methodologies. The motivation stems from the growing demand for innovative educational techniques that can effectively engage and empower learners in mastering softwareengineering principles. The proposed approach involves presenting students with modeling exercises solved by ChatGPT, prompting them to critically evaluate and provide constructive feedback on the generated solutions. By engaging students in a dialogue with the AI model, we aim to foster a dynamic learning environment where learners can articulate their considerations and insights, thereby enhancing their comprehension of softwareengineering principles, critical thinking and self evaluation skills. Preliminary results from pilot implementations indicate promising outcomes, suggesting that this approach not only enhances the quality of peer feedback but also contributes to a more interactive and engaging educational experience.
Quantum software, its engineering and its applications are becoming more and more indispensable components of the current knowledge baggage of researchers and industrial professionals. Given the continuous acceleratin...
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Quantum software, its engineering and its applications are becoming more and more indispensable components of the current knowledge baggage of researchers and industrial professionals. Given the continuous accelerating developments of Quantum Computing, and the vastness of available knowledge, one needs efficient methods to dedicate the limited available personal time to the correct choice of selective information. This Special Issue on "Quantum Computing and softwareengineering" offers a small, but diverse set of papers covering theoretical, practical software system design and a pragmatic survey of Quantum softwareengineering, being a map pointing to references of relevance, aiming to answer the issue of choice of selective information.
The proceedings contain 55 papers. The topics discussed include: a deep unsupervised representation learning approach for effective cyber-physical attack detection and identification on highly imbalanced data;a fog co...
The proceedings contain 55 papers. The topics discussed include: a deep unsupervised representation learning approach for effective cyber-physical attack detection and identification on highly imbalanced data;a fog computing framework for autonomous driving assist: architecture, experiments, and challenges;a multi-dimensional quality analysis of android applications;a semi-automated framework for migrating web applications from SQL to document oriented NoSQL database;a survey of utilizing user-reviews posted on Google play store;behind the scenes: developers’ perception of multi-language practices;classification of histopathological biopsy images using ensemble of deep learning networks;comparison of block-based and hybrid-based programming environments in transferring programming skills to text-based environment;detection of feature interaction in dynamic scripting languages;and framework, model and tool use in higher education enterprise architecture: an international survey.
The proceedings contain 21 papers. The topics discussed include: security testing of second order permission re-delegation vulnerabilities in android apps;DFarm: massive-scaling dynamic android app analysis on real ha...
ISBN:
(纸本)9781450379595
The proceedings contain 21 papers. The topics discussed include: security testing of second order permission re-delegation vulnerabilities in android apps;DFarm: massive-scaling dynamic android app analysis on real hardware;making android apps monkey-friendly;improving app quality despite flawed mobile analytics;AndroidPropTracker: mining lifetime properties of android projects;ReviewViz: assisting developers perform empirical study on energy consumption related reviews for mobile applications;embracing mobile app evolution via continuous ecosystem mining and characterization;collaborative earthquake detection and response using smart devices;and experimental comparison of features and classifiers for android malware detection.
The proceedings contain 34 papers. The topics discussed include: effectiveness evaluation method for cyber deception based on dynamic Bayesian attack graph;the performance evaluation of recommendation algorithm using ...
ISBN:
(纸本)9781450375528
The proceedings contain 34 papers. The topics discussed include: effectiveness evaluation method for cyber deception based on dynamic Bayesian attack graph;the performance evaluation of recommendation algorithm using mahout framework;the distributed Gauss Newton methods for solving the inverse of approximated hessian with application to target localization;semi-automatic causal graph construction system;integrating design thinking into scrum framework in the context of requirements engineering management;design of software copyright registration system based on workflow;research on uni-app based cross-platform digital textbook system;the identification of corn leaf diseases based on transfer learning and data augmentation;approach to the lock chamber arrangement with adaptive ant algorithm;asymmetric u-shape network for contour detection on nonwoven images;and data-driven point sampling with blue-noise properties for triangular meshes.
Large Language Models (LLM) is a type of artificial neural network that excels at language-related tasks. The advantages and disadvantages of using LLM in softwareengineering are still being debated, but it is a tool...
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The proceedings contain 51 papers. The topics discussed include: implementation of random forest model with hyperparameter tuning for diabetes mellitus classification;inpatient monitoring system: temperature, oxygen s...
ISBN:
(纸本)9798331505530
The proceedings contain 51 papers. The topics discussed include: implementation of random forest model with hyperparameter tuning for diabetes mellitus classification;inpatient monitoring system: temperature, oxygen saturation, blood pressure, heart rate, and infusion automation based on ESP 32, IoT, and mobile application;image enhancement and thresholding for ancient inscriptions in Trowulan Museum's Collection Mojokerto, Indonesia;AI and leadership moderator: enhancing work engagement through intelligent experience and sustainable practices among Indonesian employees;development of a web-based geographic information system and artificial intelligence to promote village tourism destinations in west java;and tourist recommendations based on online reviews with sentiment analysis using BERT in central Java tourism.
The proceedings contain 34 papers. The topics discussed include: enhancing leadership and management effectiveness: leveraging actor-network theory for project risk mitigation;discovering potential founders based on a...
ISBN:
(纸本)9789897586712
The proceedings contain 34 papers. The topics discussed include: enhancing leadership and management effectiveness: leveraging actor-network theory for project risk mitigation;discovering potential founders based on academic background;emotional intelligence: predictor of success and career advancement - a survey of Bulgarian digital entrepreneurs;knowledge transfer factors for internal combustion engine (ICE) industry to electric vehicle (EV) industry by artificial intelligent: machine learning;a taxonomy for autonomous LLM-powered multi-agent architectures;towards effective ecosystems: a framework for mapping knowledge governance and management activities of innovation ecosystems constituent elements;and ZeitGeist: a generic tool supporting the dissemination of time series data following FAIR principles.
The proceedings contain 23 papers. The topics discussed include: advancing trustworthy knowledgeengineering through user-centered ai-based systems: a systematic review;self-supervised regression for query performance...
ISBN:
(纸本)9798350331288
The proceedings contain 23 papers. The topics discussed include: advancing trustworthy knowledgeengineering through user-centered ai-based systems: a systematic review;self-supervised regression for query performance prediction on image retrieval;anomaly detection for numerical literals in knowledge graphs: a short review of approaches;improving image classification using Triple-GAN: a fusion of generative adversarial networks and transfer learning;knowledge graphs for textbooks: extraction and completion techniques;basis learning for dynamical systems in the presence of incomplete scientific knowledge;hybrid ConvLSTM with attention for precise driver behavior classification;learning adaptation and generalization from human-inspired meta-reinforcement learning using Bayesian knowledge and analysis;and forecasting stock market performance: an ensemble learning-based approach.
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