the proceedings contain 7 papers. the topics discussed include: graph neural network vs. large language model: a comparative analysis for bug report priority and severity prediction;smarter project selection for softw...
ISBN:
(纸本)9798400706752
the proceedings contain 7 papers. the topics discussed include: graph neural network vs. large language model: a comparative analysis for bug report priority and severity prediction;smarter project selection for softwareengineering research;sociotechnical dynamics in open source smart contract repositories: an exploratory data analysis of curated high market value projects;a curated solidity smart contracts repository of metrics and vulnerability;MoreFixes: a large-scale dataset of CVE fix commits mined through enhanced repository discovery;prioritizing Github priority labels;and predicting fairness of ML software configurations.
the proceedings contain 8 papers. the topics discussed include: BuggIn: automatic intrinsic bugs classification model using NLP and ML;do developers fix continuous integration smells?;large scale study of orphan vulne...
ISBN:
(纸本)9798400703751
the proceedings contain 8 papers. the topics discussed include: BuggIn: automatic intrinsic bugs classification model using NLP and ML;do developers fix continuous integration smells?;large scale study of orphan vulnerabilities in the software supply chain;the FormAI dataset: generative AI in software security through the lens of formal verification;comparing word-based and AST-based models for design pattern recognition;on effectiveness of further pre-training on BERT models for story point estimation;automated fairness testing with representative sampling;and model review: a PROMISEing opportunity.
the proceedings contain 10 papers. the topics discussed include: improving the performance of code vulnerability prediction using abstract syntax tree information;measuring design compliance using neural language mode...
ISBN:
(纸本)9781450398602
the proceedings contain 10 papers. the topics discussed include: improving the performance of code vulnerability prediction using abstract syntax tree information;measuring design compliance using neural language models: an automotive case study;feature sets in just-in-time defect prediction: an empirical evaluation;profiling developers to predict vulnerable code changes;predicting build outcomes in continuous integration using textual analysis of source code commits;LOGI: an empirical model of heat-induced disk drive data loss and its implications for data recovery;assessing the quality of Github copilot’s code generation;on the effectiveness of data balancing techniques in the context of ml-based test case prioritization;identifying security-related requirements in regulatory documents based on cross-project classification;and API + code = better code summary? insights from an exploratory study.
the proceedings contain 5 papers. the topics discussed include: heterogeneous ensemble imputation for software development effort estimation;multi-stream online transfer learning for software effort estimation: is it ...
ISBN:
(纸本)9781450386807
the proceedings contain 5 papers. the topics discussed include: heterogeneous ensemble imputation for software development effort estimation;multi-stream online transfer learning for software effort estimation: is it necessary?;comparative study of random search hyper-parameter tuning for software effort estimation;CVEfixes: automated collection of vulnerabilities and their fixes from open-source software;and a classification of code changes and test types dependencies for improving machine learning based test selection.
the proceedings contain 8 papers. the topics discussed include: software defect prediction using tree-based ensembles;improving real-world vulnerability characterization with vulnerable slices;workload-aware reviewer ...
ISBN:
(纸本)9781450381277
the proceedings contain 8 papers. the topics discussed include: software defect prediction using tree-based ensembles;improving real-world vulnerability characterization with vulnerable slices;workload-aware reviewer recommendation using a multi-objective search-based approach;evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation;fault-insertion and fault-fixing: analyzing developer activity over time;identifying key developers using artifact traceability graphs;SEERA: a software cost estimation dataset for constrained environments;and an exploratory study on applicability of cross project defect prediction approaches to cross-company effort estimation.
the proceedings contain 19 papers. the topics discussed include: digital data protection using Feistel network and DNA cryptography;advancing accurate recognition of handwritten Arabic character: an innovative hybrid ...
ISBN:
(纸本)9798331522810
the proceedings contain 19 papers. the topics discussed include: digital data protection using Feistel network and DNA cryptography;advancing accurate recognition of handwritten Arabic character: an innovative hybrid approach;impact of deep learning-based entity recognition on a feature-based entity linking system: a hybrid approach;comparative analysis of four metaheuristic algorithms for estimating parameters in solar photovoltaic models;an opposition-based learning archerfish hunting optimizer for global optimization;multi-head self-attention based Arabic news recommendation system;a deep learning-based approach with overlapped classes aggregation for intrusion detection in Internet of things networks;a comprehensive review of experimental and computational methods for protein structure prediction and classification;optimizing machine learning for healthcare fraud detection: a framework using hybrid feature selection and hyperparameter tuning;and leveraging pre-trained transformer models and ensemble learning for fake news detection: a comparative analysis.
the proceedings contain 42 papers. the topics discussed include: deep learning techniques for stock market forecasting: recent trends and challenges;how to find social robots exactly?;an extractive text summarization ...
ISBN:
(纸本)9781450398237
the proceedings contain 42 papers. the topics discussed include: deep learning techniques for stock market forecasting: recent trends and challenges;how to find social robots exactly?;an extractive text summarization based on reinforcement learning;evaluation of price prediction models for cryptocurrencies based on convolutional neural networks trained on candlestick charts;an explainable machine learning-based prediction model for in-hospital mortality in acute myocardial infarction patients with typical chest pain;a survey on current speech to text analysis to help programmers dictate code;knowledge and skill retention in introduction to programming course;the relationship between perceived organizational justice and innovative work behavior through knowledge sharing;methodology for the execution of programs based on different programming languages;the design of enterprise management information system based on cloud computing;and on the relationship between linter warning density and software maintainability: an empirical study of JavaScript projects.
the proceedings contain 10 papers. the topics discussed include: report on the 10thinternational Workshop on Quantitative Approaches to software Quality;a dynamic model selection approach to mitigate the change of ba...
the proceedings contain 10 papers. the topics discussed include: report on the 10thinternational Workshop on Quantitative Approaches to software Quality;a dynamic model selection approach to mitigate the change of balance problem in cross-version bug prediction;a composite discover method for gadget chains in java deserialization vulnerability;exploring the impact of code style in identifying good programmers;an empirical evaluation of defect prediction models using project-specific measures;towards model driven safety and security by design;proposal of a user interface design guideline based on analysis of the causes of usability defects reported in a project-based softwareengineering course;adaptation of an online platform to teach testing;online service-learning in application development course: the challenges during the COVID-19 post-pandemic period;identifying learning challenges faced by novice/beginner computer programming students: an action research approach;and using student-generated questions in softwareengineering courses.
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