Software Engineering

Papers filed under cs.SE on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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2,581 to 2,640 of 2,734

Grounding Agent Memory: Environment-Probing Curation for Enterprise Agents
Susheel Suresh, Hazel Mak, Sahil Bhatnagar +2
cs.AIcs.SEarXiv:2609.11060v12026
Decoupling Readiness from Release for Tail-Aware Scheduling of Agentic LLM Workflows
Bochao Feng, Jianjiang Li, Haojie Wang +4
cs.AIcs.SEarXiv:2609.10964v12026
Beyond Static Guarantees: Measuring the Static-Pass Dynamic-Fail Gap in Security-Sensitive and LLM-Generated Python Code
Jessica Pourleyli, Maitreyee Das Urmi, Glaucia Melo
cs.CRcs.AIcs.SEarXiv:2609.10762v12026
Towards a Deterministic Math Solver for Clinical Language Models
Felipe Ocampo Osorio, Sebastián Andrés Cajas Ordoñez, Maximin Lange +5
cs.AIcs.SEarXiv:2609.10728v12026
PRISMA-LLM: An Empirical Reporting Framework for AI-Assisted Systematic Reviews
Miguel Zabaleta, Baihan Lin
cs.SEarXiv:2609.11559v12026
Deep Learning-based Bug Triage System
Sourabh Pal
cs.SEarXiv:2609.11420v12026
FST Pay: Deterministic Safety-Gated Architecture for Youth Digital Payments
Shaikh Mohammed Burhan, Syed Farhaan Quadri, Tabassum Nahid Sultana
cs.SEcs.CRarXiv:2609.11195v12026
SaltBench: A Referee-Gated Protocol for Measuring Method Effects in Machine-Checked Software Work
Jason Hickey
cs.SEcs.LOarXiv:2609.11076v12026
RCL: A Retrieval-Confidence Layer for Detecting Insufficient Context in Enterprise Retrieval-Augmented Code Generation
Chandra Mohan Ravuri
cs.SEarXiv:2609.11023v12026
Governed Human-AI Prioritization Under Uncertainty: Adaptive Estimation and Dependency-Constrained Portfolio Selection
Azzeddine Ihsine, Sara Ihsine
cs.SEarXiv:2609.10648v12026
SWE-QA: Can Language Models Answer Repository-level Code Questions?
Weihan Peng, Yuling Shi, Yuhang Wang +3
cs.CLcs.PLcs.SEarXiv:2509.14635v22025
Optimizing AI Inference Across the Deployment Stack
Tejinder Singh, John Pflueger, Jeebak Mitra +3
cs.SEcs.LGarXiv:2609.10550v12026
DeFiFlowBench: Benchmarking and Improving Safe Executability in Natural-Language DeFi Workflow Synthesis
Abhinav Rajeev Kumar, Harshit Arora, Varun Singh +1
cs.LGcs.SEarXiv:2609.11504v12026
LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation
Sarah Fakhoury, Aaditya Naik, Georgios Sakkas +2
cs.SEarXiv:2404.10100v22024
An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software
Rick Salay, Rodrigo Queiroz, Krzysztof Czarnecki
cs.AIcs.LGcs.SEarXiv:1709.02435v12017
Wicked Problem, Parsimonious Solution: Securing Electric Vehicle Charging Station Software
Emma Sheppard, Zachary Wadhams, Dalton Arford +2
cs.CRcs.SEarXiv:2609.10502v12026
HLSFactory-Agent: Large-Scale Agentic HLS Dataset Construction from Academic and Open-Source Projects
Kaushik Chandana, Jay Imperatori, Tanmay Shukla +3
cs.ARcs.SEarXiv:2609.09519v12026
The Vision of Software Clone Management: Past, Present, and Future
Chanchal K. Roy, Minhaz F. Zibran, Rainer Koschke
cs.SEarXiv:2005.01005v12020
RACK: Automatic API Recommendation using Crowdsourced Knowledge
Mohammad Masudur Rahman, Chanchal K. Roy, David Lo
cs.SEarXiv:1807.02953v12018
Closing the gap between software engineering education and industrial needs
Vahid Garousi, Görkem Giray, Eray Tüzün +2
cs.SEarXiv:1812.01954v12018
An Artificial Intelligence Life Cycle: From Conception to Production
Daswin De Silva, Damminda Alahakoon
cs.SEarXiv:2108.13861v12021
A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software
Serena E. Ponta, Henrik Plate, Antonino Sabetta +2
cs.SEcs.CRcs.LGarXiv:1902.02595v32019
Introducing Consort: A Spec-First Agent Framework for Enforced, Test-Driven Development on Live Database Branches
Kevin Hartman
cs.SEcs.AIcs.DBarXiv:2609.09671v12026
Granite Code Models: A Family of Open Foundation Models for Code Intelligence
Mayank Mishra, Matt Stallone, Gaoyuan Zhang +43
cs.AIcs.CLcs.SEarXiv:2405.04324v12024
Silent Revision: Measuring Undisclosed Change in the Safety Frameworks of Frontier AI Developers
Louis Yiven Zhu
cs.CYcs.AIcs.SEarXiv:2609.08789v12026
Testing Database Engines via Pivoted Query Synthesis
Manuel Rigger, Zhendong Su
cs.DBcs.SEarXiv:2001.04174v12020
SWE-Test: Benchmarking LLM Vulnerability Discovery via Input Prediction
Yuanxiang Shi, Jiayi Lin, Xuanyong Lin +8
cs.SEcs.AIarXiv:2609.06229v12026
Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations
Jakob Mokander, Jessica Morley, Mariarosaria Taddeo +1
cs.CYcs.SEarXiv:2110.10980v12021
Seeing Without Understanding: Large Language Model Evaluation of Mobile User Interface Quality, Failure Taxonomy, and Architectural Explanation
Md Rejaul Korim Sadi, Golam Mostofa Naeem, Toufiqur Rahman Tasin +4
cs.HCcs.CLcs.SEarXiv:2609.05423v12026
Microservices: How To Make Your Application Scale
Nicola Dragoni, Ivan Lanese, Stephan Thordal Larsen +3
cs.SEarXiv:1702.07149v12017
You Cannot Fix What You Cannot Find! An Investigation of Fault Localization Bias in Benchmarking Automated Program Repair Systems
Kui Liu, Anil Koyuncu, Tegawendé F. Bissyandé +3
cs.SEarXiv:1812.07283v22018
Automated Synthesis of Cloud Emulators
Archit Bhatnagar, Zhenning Yang, Sarah McClure +3
cs.SEcs.AIcs.DCarXiv:2608.23842v12026
Why Early-Stage Software Startups Fail: A Behavioral Framework
Carmine Giardino, Xiaofeng Wang, Pekka Abrahamsson
cs.SEarXiv:1709.04749v12017
SH-PDOPS: AI-Driven Cloud Native Enterprise Reliability Framework for Predictive Analytics and Intelligent DevOps Automation
Ayushman Bosu Roy
cs.SEarXiv:2609.04210v12026
Ritgard: T(r)opical Islands of Socio-Technical Artifacts on GitHub
Adam Štěpánek, Marco Raglianti, Jan Byška +2
cs.SEarXiv:2609.05278v12026
A systematic literature review on logging smell detection
Nora Madi, Manal Binkhonain
cs.SEarXiv:2609.04215v12026
Security in the Age of AI Teammates: An Empirical Study of Agentic Pull Requests on GitHub
Mohammed Latif Siddiq, Xinye Zhao, Vinicius Carvalho Lopes +2
cs.CRcs.SEarXiv:2601.00477v22026
CircuChain: Disentangling Competence and Compliance in LLM Circuit Analysis
Mayank Ravishankara
cs.SEcs.AIarXiv:2602.15037v12026
Same Request, Different Answer: Quantization Amplifies Cache-Induced Divergence in LLM Serving
Aditi Patodiya
cs.SEcs.DCcs.LGarXiv:2609.04748v12026
Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub
Ramtin Ehsani, Sakshi Pathak, Shriya Rawal +3
cs.SEcs.AIarXiv:2601.15195v12026
Advancing Requirements Engineering through Generative AI: Assessing the Role of LLMs
Chetan Arora, John Grundy, Mohamed Abdelrazek
cs.SEarXiv:2310.13976v22023
From Technical Debt to Cognitive and Intent Debt: Rethinking Software Health in the Age of AI
Margaret-Anne Storey
cs.SEarXiv:2603.22106v42026
Evaluating Tiny Recursive Models Across Training for Code Generation
Anjani Sirivella, Aanisha Newaz, Glaucia Melo
cs.AIcs.LGcs.SEarXiv:2608.29376v12026
SkillProbe: Security Auditing for Emerging Agent Skill Marketplaces via Multi-Agent Collaboration
Zihan Guo, Zhiyu Chen, Xiaohang Nie +3
cs.CRcs.SEarXiv:2603.21019v12026
Pythia: AI-assisted Code Completion System
Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu +1
cs.SEcs.LGarXiv:1912.00742v12019
Real Money, Fake Models: Deceptive Model Claims in Shadow APIs
Yage Zhang, Yukun Jiang, Zeyuan Chen +3
cs.CRcs.AIcs.SEarXiv:2603.01919v22026
An Empirical Study on Learning Paths and Gender Dynamics in Scrum Master Roles
Manuela Petrescu, Paul Razvan Petrescu
cs.SEcs.CYarXiv:2609.05186v12026
Mutation-Guided LLM-based Test Generation at Meta
Christopher Foster, Abhishek Gulati, Mark Harman +5
cs.SEcs.AIcs.LGarXiv:2501.12862v12025
STEP: A Modular Silent Trial Engine for Operational Evaluation of Digital Pathology AI in Routine Workflow
Gabriele Campanella, Matthew Croken, Olga Lukatskaya +4
cs.SEcs.CVarXiv:2608.28708v12026
GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS
Zhenlong Li, Huan Ning, Song Gao +13
cs.AIcs.ETcs.SEarXiv:2503.23633v52025
Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion
Nikolaos Livathinos, Christoph Auer, Maksym Lysak +14
cs.CLcs.CVcs.SEarXiv:2501.17887v12025
Foundation Models in Remote Sensing: Evolving from Unimodality to Multimodality
Danfeng Hong, Chenyu Li, Xuyang Li +2
cs.CVcs.SEarXiv:2603.00988v12026
NVIDIA FLARE: Federated Learning from Simulation to Real-World
Holger R. Roth, Yan Cheng, Yuhong Wen +20
cs.LGcs.AIcs.CVarXiv:2210.13291v32022
Astra: A Multi-Agent System for GPU Kernel Performance Optimization
Anjiang Wei, Tianran Sun, Yogesh Seenichamy +5
cs.DCcs.AIcs.CLarXiv:2509.07506v22025
Getting pwn'd by AI: Penetration Testing with Large Language Models
Andreas Happe, Jürgen Cito
cs.CLcs.AIcs.CRarXiv:2308.00121v32023
Pandemic Programming: How COVID-19 affects software developers and how their organizations can help
Paul Ralph, Sebastian Baltes, Gianisa Adisaputri +14
cs.SEcs.CYarXiv:2005.01127v32020
Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help?
Sasu Mäkinen, Henrik Skogström, Eero Laaksonen +1
cs.SEarXiv:2103.08942v12021
What Is a System? An Interaction-Based Account of Structure-Behavior Coalescence in General Systems Theory
William S. Chao
cs.SEeess.SYarXiv:2609.00043v12026
In-IDE Code Generation from Natural Language: Promise and Challenges
Frank F. Xu, Bogdan Vasilescu, Graham Neubig
cs.SEarXiv:2101.11149v32021
On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization
Giuseppe Crupi, Rosalia Tufano, Alejandro Velasco +3
cs.SEarXiv:2507.16587v12025

Software Engineering

Grounding Agent Memory: Environment-Probing Curation for Enterprise Agents

Decoupling Readiness from Release for Tail-Aware Scheduling of Agentic LLM Workflows

Beyond Static Guarantees: Measuring the Static-Pass Dynamic-Fail Gap in Security-Sensitive and LLM-Generated Python Code

Towards a Deterministic Math Solver for Clinical Language Models

PRISMA-LLM: An Empirical Reporting Framework for AI-Assisted Systematic Reviews

Deep Learning-based Bug Triage System

FST Pay: Deterministic Safety-Gated Architecture for Youth Digital Payments

SaltBench: A Referee-Gated Protocol for Measuring Method Effects in Machine-Checked Software Work

RCL: A Retrieval-Confidence Layer for Detecting Insufficient Context in Enterprise Retrieval-Augmented Code Generation

Governed Human-AI Prioritization Under Uncertainty: Adaptive Estimation and Dependency-Constrained Portfolio Selection

SWE-QA: Can Language Models Answer Repository-level Code Questions?

Optimizing AI Inference Across the Deployment Stack

DeFiFlowBench: Benchmarking and Improving Safe Executability in Natural-Language DeFi Workflow Synthesis

LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation

An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software

Wicked Problem, Parsimonious Solution: Securing Electric Vehicle Charging Station Software

HLSFactory-Agent: Large-Scale Agentic HLS Dataset Construction from Academic and Open-Source Projects

The Vision of Software Clone Management: Past, Present, and Future

RACK: Automatic API Recommendation using Crowdsourced Knowledge

Closing the gap between software engineering education and industrial needs

An Artificial Intelligence Life Cycle: From Conception to Production

A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software

Introducing Consort: A Spec-First Agent Framework for Enforced, Test-Driven Development on Live Database Branches

Granite Code Models: A Family of Open Foundation Models for Code Intelligence

Silent Revision: Measuring Undisclosed Change in the Safety Frameworks of Frontier AI Developers

Testing Database Engines via Pivoted Query Synthesis

SWE-Test: Benchmarking LLM Vulnerability Discovery via Input Prediction

Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations

Seeing Without Understanding: Large Language Model Evaluation of Mobile User Interface Quality, Failure Taxonomy, and Architectural Explanation

Microservices: How To Make Your Application Scale

You Cannot Fix What You Cannot Find! An Investigation of Fault Localization Bias in Benchmarking Automated Program Repair Systems

Automated Synthesis of Cloud Emulators

Why Early-Stage Software Startups Fail: A Behavioral Framework

SH-PDOPS: AI-Driven Cloud Native Enterprise Reliability Framework for Predictive Analytics and Intelligent DevOps Automation

Ritgard: T(r)opical Islands of Socio-Technical Artifacts on GitHub

A systematic literature review on logging smell detection

Security in the Age of AI Teammates: An Empirical Study of Agentic Pull Requests on GitHub

CircuChain: Disentangling Competence and Compliance in LLM Circuit Analysis

Same Request, Different Answer: Quantization Amplifies Cache-Induced Divergence in LLM Serving

Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub

Advancing Requirements Engineering through Generative AI: Assessing the Role of LLMs

From Technical Debt to Cognitive and Intent Debt: Rethinking Software Health in the Age of AI

Evaluating Tiny Recursive Models Across Training for Code Generation

SkillProbe: Security Auditing for Emerging Agent Skill Marketplaces via Multi-Agent Collaboration

Pythia: AI-assisted Code Completion System

Real Money, Fake Models: Deceptive Model Claims in Shadow APIs

An Empirical Study on Learning Paths and Gender Dynamics in Scrum Master Roles

Mutation-Guided LLM-based Test Generation at Meta

STEP: A Modular Silent Trial Engine for Operational Evaluation of Digital Pathology AI in Routine Workflow

GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS

Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion

Foundation Models in Remote Sensing: Evolving from Unimodality to Multimodality

NVIDIA FLARE: Federated Learning from Simulation to Real-World

Astra: A Multi-Agent System for GPU Kernel Performance Optimization

Getting pwn'd by AI: Penetration Testing with Large Language Models

Pandemic Programming: How COVID-19 affects software developers and how their organizations can help

Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help?

What Is a System? An Interaction-Based Account of Structure-Behavior Coalescence in General Systems Theory

In-IDE Code Generation from Natural Language: Promise and Challenges

On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization