Copertina

BayesInsights: Modelling Software Delivery and Developer Experience with Bayesian Networks at Bloomberg

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kirbas, Serkan, Sarro, Federica, Williams, David
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Understanding Fairness in Software Engineering: Insights from Stack Exchange
di: Sesari, Emeralda, et al.
Pubblicazione: (2024)

Empirical and Sustainability Aspects of Software Engineering Research in the Era of Large Language Models: A Reflection
di: Williams, David, et al.
Pubblicazione: (2025)

It is Giving Major Satisfaction: Why Fairness Matters for Software Practitioners
di: Sesari, Emeralda, et al.
Pubblicazione: (2024)

Hot Fixing Software: A Comprehensive Review of Terminology, Techniques, and Applications
di: Hanna, Carol, et al.
Pubblicazione: (2024)

Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance
di: Pinna, Giovanni, et al.
Pubblicazione: (2026)

FairRF: Multi-Objective Search for Single and Intersectional Software Fairness
di: d'Alosio, Giordano, et al.
Pubblicazione: (2026)

Psychological Safety Framework in Pull-based Open Source Projects
di: Sesari, Emeralda, et al.
Pubblicazione: (2025)

SafeTune: Search-based Harmfulness Minimisation for Large Language Models
di: d'Aloisio, Giordano, et al.
Pubblicazione: (2026)

Unveiling Practical Shortcomings of Patch Overfitting Detection Techniques
di: Williams, David, et al.
Pubblicazione: (2026)

How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias
di: Fadahunsi, Tosin, et al.
Pubblicazione: (2025)

Exploring the Experiences of Experts: Sustainability in Agile Software Development -- Insights from the Finnish Software Industry
di: Shamshiri, Hatef, et al.
Pubblicazione: (2024)

LLM-Guided Genetic Improvement: Envisioning Semantic Aware Automated Software Evolution
di: Even-Mendoza, Karine, et al.
Pubblicazione: (2025)

From Research to Practice: An Interactive Rapid Review of Autonomous Driving System Testing in Industry
di: Song, Qunying, et al.
Pubblicazione: (2026)

Unveiling Overlooked Performance Variance in Serverless Computing
di: Wen, Jinfeng, et al.
Pubblicazione: (2023)

HotBugs.jar: A Benchmark of Hot Fixes for Time-Critical Bugs
di: Hanna, Carol, et al.
Pubblicazione: (2025)

Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software
di: Chen, Zhenpeng, et al.
Pubblicazione: (2024)

On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations
di: Ma, Xiaoxue, et al.
Pubblicazione: (2024)

Automated Repair of Ambiguous Problem Descriptions for LLM-Based Code Generation
di: Jia, Haoxiang, et al.
Pubblicazione: (2025)

HerAgent: Rethinking the Automated Environment Deployment via Hierarchical Test Pyramid
di: Li, Xiang, et al.
Pubblicazione: (2026)

Fairness Testing: A Comprehensive Survey and Analysis of Trends
di: Chen, Zhenpeng, et al.
Pubblicazione: (2022)

Generative AI for Testing of Autonomous Driving Systems: A Survey
di: Song, Qunying, et al.
Pubblicazione: (2025)

On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios
di: Moussa, Rebecca, et al.
Pubblicazione: (2022)

Environment-in-the-Loop: Rethinking Code Migration with LLM-based Agents
di: Li, Xiang, et al.
Pubblicazione: (2026)

Test-based Patch Clustering for Automatically-Generated Patches Assessment
di: Martinez, Matias, et al.
Pubblicazione: (2022)

Charting The Evolution of Solidity Error Handling
di: Mitropoulos, Charalambos, et al.
Pubblicazione: (2024)

A Comprehensive Study of Bugs in Modern Distributed Deep Learning Systems
di: Ma, Xiaoxue, et al.
Pubblicazione: (2025)

SustainDiffusion: Optimising the Social and Environmental Sustainability of Stable Diffusion Models
di: d'Aloisio, Giordano, et al.
Pubblicazione: (2025)

On the Compression of Language Models for Code: An Empirical Study on CodeBERT
di: d'Aloisio, Giordano, et al.
Pubblicazione: (2024)

SusDevOps: Promoting Sustainability to a First Principle in Software Delivery
di: David, Istvan
Pubblicazione: (2023)

Understanding Code Agent Behaviour: An Empirical Study of Success and Failure Trajectories
di: Majgaonkar, Oorja, et al.
Pubblicazione: (2025)

Echo: Graph-Enhanced Retrieval and Execution Feedback for Issue Reproduction Test Generation
di: Fei, Zhiwei, et al.
Pubblicazione: (2026)

LLM-Based Misconfiguration Detection for AWS Serverless Computing
di: Wen, Jinfeng, et al.
Pubblicazione: (2024)

SkillMOO: Multi-Objective Optimization of Agent Skills for Software Engineering
di: Gong, Jingzhi, et al.
Pubblicazione: (2026)

Transforming Software Development with Generative AI: Empirical Insights on Collaboration and Workflow
di: Ulfsnes, Rasmus, et al.
Pubblicazione: (2024)

Hot Fixing in the Wild
di: Hanna, Carol, et al.
Pubblicazione: (2026)

Large Language Models for Software Testing Education: an Experience Report
di: Yang, Peng, et al.
Pubblicazione: (2026)

Uncovering Non-native Speakers' Experiences in Global Software Development Teams -- A Bourdieusian Perspective
di: Wang, Yi, et al.
Pubblicazione: (2025)

SCOPE: Performance Testing for Serverless Computing
di: Wen, Jinfeng, et al.
Pubblicazione: (2023)

Practitioners' Expectations on Log Anomaly Detection
di: Ma, Xiaoxue, et al.
Pubblicazione: (2024)

Enhancing Women's Experiences in Software Engineering
di: Fortunato, Júlia Rocha, et al.
Pubblicazione: (2025)