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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1,441 to 1,500 of 2,733

Optimized Execution of Business Processes on Blockchain
Luciano García-Bañuelos, Alexander Ponomarev, Marlon Dumas +1
cs.SEarXiv:1612.03152v12016
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang +1
cs.SEcs.CLcs.LGarXiv:2305.01210v32023
A Comparative Study of Programming Languages in Rosetta Code
Sebastian Nanz, Carlo A. Furia
cs.SEarXiv:1409.0252v42014
A Survey on Automated Log Analysis for Reliability Engineering
Shilin He, Pinjia He, Zhuangbin Chen +3
cs.SEarXiv:2009.07237v22020
Leveraging Automated Unit Tests for Unsupervised Code Translation
Baptiste Roziere, Jie M. Zhang, Francois Charton +3
cs.SEcs.CLcs.LGarXiv:2110.06773v22021
Agent Skills: A Data-Driven Analysis of Claude Skills for Extending Large Language Model Functionality
George Ling, Shanshan Zhong, Richard Huang
cs.SEcs.SIarXiv:2602.08004v12026
Repoformer: Selective Retrieval for Repository-Level Code Completion
Di Wu, Wasi Uddin Ahmad, Dejiao Zhang +2
cs.SEcs.CLarXiv:2403.10059v22024
The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering
Hao Li, Haoxiang Zhang, Ahmed E. Hassan
cs.SEcs.AIcs.CEarXiv:2507.15003v12025
SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents
Ibragim Badertdinov, Alexander Golubev, Maksim Nekrashevich +6
cs.SEcs.CLarXiv:2505.20411v22025
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
Naman Jain, King Han, Alex Gu +7
cs.SEcs.CLcs.LGarXiv:2403.07974v22024
Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions
Angira Sharma, Edward Kosasih, Jie Zhang +2
cs.LGcs.SEarXiv:2011.02833v32020
A Survey of Machine Learning for Big Code and Naturalness
Miltiadis Allamanis, Earl T. Barr, Premkumar Devanbu +1
cs.SEcs.LGcs.PLarXiv:1709.06182v22017
Extensible Component Based Architecture for FLASH, A Massively Parallel, Multiphysics Simulation Code
A. Dubey, L. B. Reid, K. Weide +5
cs.SEarXiv:0903.4875v22009
Mining Software Repair Models for Reasoning on the Search Space of Automated Program Fixing
Matias Martinez, Martin Monperrus
cs.SEarXiv:1311.3414v12013
GraftyVul: Synthesising Insecure Programs Through Real-World Vulnerability Grafting
Omri Ram, Mitchell Horner, Ron Van der Meyden +2
cs.CRcs.SEarXiv:2608.27928v12026
Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks
Verya Monjezi, Ashutosh Trivedi, Gang Tan +1
cs.SEcs.LGarXiv:2304.04199v12023
On Learning Meaningful Code Changes via Neural Machine Translation
Michele Tufano, Jevgenija Pantiuchina, Cody Watson +2
cs.SEcs.CLcs.LGarXiv:1901.09102v12019
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation
Michele Tufano, Cody Watson, Gabriele Bavota +3
cs.SEarXiv:1812.08693v22018
XRFix: Exploring Performance Bug Repair of Extended Reality Applications with Large Language Models
Jingwen Wu, Hanyang Guo, Hong-Ning Dai +1
cs.SEarXiv:2608.21718v12026
SWE-DeceptionBench: Benchmarking Deceptive Behaviors of LLMs Across the Software Development Lifecycle
Xiting Liu, Lin Yang, Yitong Zhang +2
cs.SEcs.AIarXiv:2610.13626v12026
A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning
Fang Liu, Ge Li, Bolin Wei +3
cs.SEcs.AIarXiv:1909.06983v32019
Getafix: Learning to Fix Bugs Automatically
Johannes Bader, Andrew Scott, Michael Pradel +1
cs.SEarXiv:1902.06111v52019
On the Use of Deep Learning in Software Defect Prediction
Görkem Giray, Kwabena Ebo Bennin, Ömer Köksal +2
cs.SEarXiv:2210.02236v12022
What's in a GitHub Star? Understanding Repository Starring Practices in a Social Coding Platform
Hudson Borges, Marco Tulio Valente
cs.SEarXiv:1811.07643v12018
How do Data Science Workers Collaborate? Roles, Workflows, and Tools
Amy X. Zhang, Michael Muller, Dakuo Wang
cs.HCcs.AIcs.LGarXiv:2001.06684v32020
Community Cloud Computing
Alexandros Marinos, Gerard Briscoe
cs.NIcs.DCcs.SEarXiv:0907.2485v32009
dexamine: A Python package for Uniswap event data on Ethereum
Magnus Hansson
q-fin.TRcs.SEarXiv:2609.10407v12026
Software Engineering Challenges of Deep Learning
Anders Arpteg, Björn Brinne, Luka Crnkovic-Friis +1
cs.SEcs.AIcs.LGarXiv:1810.12034v12018
AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State Machines
Yifan Wu, Yiran Peng, Yiyu Chen +12
cs.AIcs.SEarXiv:2602.14296v12026
LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead
Junda He, Christoph Treude, David Lo
cs.SEarXiv:2404.04834v42024
IntelliCode Compose: Code Generation Using Transformer
Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu +1
cs.CLcs.SEarXiv:2005.08025v22020
ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents
Youjin Wang, Run Zhou, Yingjie Ma +6
cs.SEcs.AIarXiv:2602.04935v32026
A3Test: Assertion-Augmented Automated Test Case Generation
Saranya Alagarsamy, Chakkrit Tantithamthavorn, Aldeida Aleti
cs.SEarXiv:2302.10352v12023
Dissection of a Bug Dataset: Anatomy of 395 Patches from Defects4J
Victor Sobreira, Thomas Durieux, Fernanda Madeiral +2
cs.SEarXiv:1801.06393v32018
Chronos Enables Code Agents to Reason over Software Evolution
Xin Yin, Yiang Zhang, Zhiyuan Peng +3
cs.SEcs.CLarXiv:2610.11578v12026
Slither: A Static Analysis Framework For Smart Contracts
Josselin Feist, Gustavo Grieco, Alex Groce
cs.SEcs.CRarXiv:1908.09878v12019
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
Max Schäfer, Sarah Nadi, Aryaz Eghbali +1
cs.SEcs.AIarXiv:2302.06527v42023
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code
Shuyan Zhou, Uri Alon, Sumit Agarwal +1
cs.SEcs.LGcs.PLarXiv:2302.05527v22023
EnvPilot: Systematic Design and Evaluation of an Experience-Augmented Agent for Software Environment Setup
Hanwu Chen, Hanyu Lin, Zhanjiang Yang +6
cs.SEarXiv:2609.07357v12026
OpenHands: An Open Platform for AI Software Developers as Generalist Agents
Xingyao Wang, Boxuan Li, Yufan Song +21
cs.SEcs.AIcs.CLarXiv:2407.16741v32024
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses
Jaromir Savelka, Arav Agarwal, Marshall An +2
cs.CYcs.AIcs.CLarXiv:2306.10073v12023
ATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning
Ignacio D. Lopez-Miguel, Andreas Happe, Jürgen Cito +3
cs.SEcs.LGarXiv:2608.14352v12026
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair
Zimin Chen, Steve Kommrusch, Michele Tufano +3
cs.SEcs.LGstat.MLarXiv:1901.01808v32018
Automatic Software Repair: a Bibliography
Martin Monperrus
cs.SEcs.CRcs.PLarXiv:1807.00515v12018
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
Shuo Ren, Daya Guo, Shuai Lu +7
cs.SEcs.CLarXiv:2009.10297v22020
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization
Joymallya Chakraborty, Tianpei Xia, Fahmid M. Fahid +1
cs.SEcs.LGarXiv:1905.05786v22019
SEAlign: Alignment Training for Software Engineering Agent
Kechi Zhang, Huangzhao Zhang, Ge Li +4
cs.SEarXiv:2503.18455v12025
Detecting Inconsistencies in Model Specifications with LLM-as-Verifier Reasoning
Zichen Xie, Mrigank Pawagi, Lize Shao +2
cs.SEcs.AIcs.CLarXiv:2610.01847v12026
An Overview on Smart Contracts: Challenges, Advances and Platforms
Zibin Zheng, Shaoan Xie, Hong-Ning Dai +4
cs.SEcs.DCarXiv:1912.10370v12019
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation
Zeyao Ma, Bohan Zhang, Jing Zhang +6
cs.CLcs.SEarXiv:2406.14991v22024
Full-speed Fuzzing: Reducing Fuzzing Overhead through Coverage-guided Tracing
Stefan Nagy, Matthew Hicks
cs.CRcs.SEarXiv:1812.11875v22018
A Survey of Symbolic Execution Techniques
Roberto Baldoni, Emilio Coppa, Daniele Cono D'Elia +2
cs.SEcs.PLarXiv:1610.00502v32016
DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models
Adarsh Kumarappan, Pareesa Ameneh Golnari, Wen Wen +5
cs.LGcs.AIcs.SEarXiv:2601.11895v32026
Automatic Bug Triage using Semi-Supervised Text Classification
Jifeng Xuan, He Jiang, Zhilei Ren +2
cs.SEarXiv:1704.04769v12017
InferFix: End-to-End Program Repair with LLMs
Matthew Jin, Syed Shahriar, Michele Tufano +4
cs.SEarXiv:2303.07263v12023
ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming
Yuan Yuan, Wolfgang Banzhaf
cs.SEarXiv:1712.07804v12017
Not All Correct Fixes Run Alike: An Empirical Study of Patch Performance in Repository-Level Issue Resolution
Han Peng, Xing Hu, Feifei Niu +2
cs.SEcs.CLarXiv:2610.13563v12026
Octopus: On-device language model for function calling of software APIs
Wei Chen, Zhiyuan Li, Mingyuan Ma
cs.CLcs.SEarXiv:2404.01549v22024
An Empirical Study on the Potential of LLMs in Automated Software Refactoring
Bo Liu, Yanjie Jiang, Yuxia Zhang +3
cs.SEarXiv:2411.04444v12024
How Should Diffusion Language Models Edit Code?
Xijia Tao, Ziru Liu, Shansan Gong +7
cs.SEcs.AIarXiv:2609.38257v12026

Software Engineering

Optimized Execution of Business Processes on Blockchain

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

A Comparative Study of Programming Languages in Rosetta Code

A Survey on Automated Log Analysis for Reliability Engineering

Leveraging Automated Unit Tests for Unsupervised Code Translation

Agent Skills: A Data-Driven Analysis of Claude Skills for Extending Large Language Model Functionality

Repoformer: Selective Retrieval for Repository-Level Code Completion

The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering

SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions

A Survey of Machine Learning for Big Code and Naturalness

Extensible Component Based Architecture for FLASH, A Massively Parallel, Multiphysics Simulation Code

Mining Software Repair Models for Reasoning on the Search Space of Automated Program Fixing

GraftyVul: Synthesising Insecure Programs Through Real-World Vulnerability Grafting

Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks

On Learning Meaningful Code Changes via Neural Machine Translation

An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation

XRFix: Exploring Performance Bug Repair of Extended Reality Applications with Large Language Models

SWE-DeceptionBench: Benchmarking Deceptive Behaviors of LLMs Across the Software Development Lifecycle

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning

Getafix: Learning to Fix Bugs Automatically

On the Use of Deep Learning in Software Defect Prediction

What's in a GitHub Star? Understanding Repository Starring Practices in a Social Coding Platform

How do Data Science Workers Collaborate? Roles, Workflows, and Tools

Community Cloud Computing

dexamine: A Python package for Uniswap event data on Ethereum

Software Engineering Challenges of Deep Learning

AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State Machines

LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

IntelliCode Compose: Code Generation Using Transformer

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents

A3Test: Assertion-Augmented Automated Test Case Generation

Dissection of a Bug Dataset: Anatomy of 395 Patches from Defects4J

Chronos Enables Code Agents to Reason over Software Evolution

Slither: A Static Analysis Framework For Smart Contracts

An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation

CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code

EnvPilot: Systematic Design and Evaluation of an Experience-Augmented Agent for Software Environment Setup

OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses

ATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning

SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair

Automatic Software Repair: a Bibliography

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Software Engineering for Fairness: A Case Study with Hyperparameter Optimization

SEAlign: Alignment Training for Software Engineering Agent

Detecting Inconsistencies in Model Specifications with LLM-as-Verifier Reasoning

An Overview on Smart Contracts: Challenges, Advances and Platforms

SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation

Full-speed Fuzzing: Reducing Fuzzing Overhead through Coverage-guided Tracing

A Survey of Symbolic Execution Techniques

DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models

Automatic Bug Triage using Semi-Supervised Text Classification

InferFix: End-to-End Program Repair with LLMs

ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming

Not All Correct Fixes Run Alike: An Empirical Study of Patch Performance in Repository-Level Issue Resolution

Octopus: On-device language model for function calling of software APIs

An Empirical Study on the Potential of LLMs in Automated Software Refactoring

How Should Diffusion Language Models Edit Code?