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Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Detecting Memory Errors in Python Native Code by Tracking Object Lifecycle with Reference Count

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.1429-1440

2023

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Revealing Performance Issues in Server-Side WebAssembly Runtimes Via Differential Testing

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.661-672

2023

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Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.1098-1110

2023

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A logic for locally complete abstract interpretations

2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 2021, p.1-13

2021

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ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using LLMs

ACM transactions on software engineering and methodology, 2024-11

2024

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CoMSA: A Modeling-Driven Sampling Approach for Configuration Performance Testing

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.1352-1363

2023

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On the Understandability of Design-Level Security Practices in Infrastructure-as-Code Scripts and Deployment Architectures

ACM transactions on software engineering and methodology, 2024-09

2024

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MLIRSmith: Random Program Generation for Fuzzing MLIR Compiler Infrastructure

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.1555-1566

2023

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ArduinoProg: Towards Automating Arduino Programming

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.2030-2033

2023

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An Automated and Flexible Multilingual Bug-Fix Dataset Construction System

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.1881-1886

2023

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Challenges of Accurate and Efficient AutoML

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.1834-1839

2023

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Unveiling and Vanquishing Goroutine Leaks in Enterprise Microservices: A Dynamic Analysis Approach

2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2024, p.411-422

2024

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Non-Flaky and Nearly-Optimal Time-based Treatment of Asynchronous Wait Web Tests

ACM transactions on software engineering and methodology, 2024-09

2024

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Multi-Agent-Based Simulation XXIII: 23rd International Workshop, MABS 2022, Virtual Event, May 8-9, 2022, Revised Selected Papers

1, 2023

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CAT-LM Training Language Models on Aligned Code And Tests

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.409-420

2023

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What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.761-773

2023

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Identifying the Failure-Revealing Test Cases in Metamorphic Testing: A Statistical Approach

ACM transactions on software engineering and methodology, 2024-09

2024

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From Commit Message Generation to History-Aware Commit Message Completion

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.723-735

2023

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From Misuse to Mastery: Enhancing Code Generation with Knowledge-Driven AI Chaining

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.976-987

2023

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Nuances are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.14-26

2023

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Predicting Compilation Resources for Adaptive Build in an Industrial Setting

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.1808-1813

2023

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ZigZagFuzz: Interleaved Fuzzing of Program Options and Files

ACM transactions on software engineering and methodology, 2024-09

2024

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Guiding Dynamic Symbolic Execution toward Unverified Program Executions

2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE), 2016, p.144-155

2016

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SMT Solver Validation Empowered by Large Pre-Trained Language Models

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023, p.1288-1300

2023

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Domain-Specific Fixes for Flaky Tests with Wrong Assumptions on Underdetermined Specifications

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.50-61

2021

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Detecting Memory Errors in Python Native Code by Tracking Object Lifecycle with Reference Count

Revealing Performance Issues in Server-Side WebAssembly Runtimes Via Differential Testing

Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations

A logic for locally complete abstract interpretations

ZS4C: Zero-Shot Synthesis of Compilable Code for Incomplete Code Snippets using LLMs

CoMSA: A Modeling-Driven Sampling Approach for Configuration Performance Testing

On the Understandability of Design-Level Security Practices in Infrastructure-as-Code Scripts and Deployment Architectures

MLIRSmith: Random Program Generation for Fuzzing MLIR Compiler Infrastructure

ArduinoProg: Towards Automating Arduino Programming

An Automated and Flexible Multilingual Bug-Fix Dataset Construction System

Challenges of Accurate and Efficient AutoML

Unveiling and Vanquishing Goroutine Leaks in Enterprise Microservices: A Dynamic Analysis Approach

Non-Flaky and Nearly-Optimal Time-based Treatment of Asynchronous Wait Web Tests

Multi-Agent-Based Simulation XXIII: 23rd International Workshop, MABS 2022, Virtual Event, May 8-9, 2022, Revised Selected Papers

CAT-LM Training Language Models on Aligned Code And Tests

What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?

Identifying the Failure-Revealing Test Cases in Metamorphic Testing: A Statistical Approach

From Commit Message Generation to History-Aware Commit Message Completion

From Misuse to Mastery: Enhancing Code Generation with Knowledge-Driven AI Chaining

Nuances are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting

Predicting Compilation Resources for Adaptive Build in an Industrial Setting

ZigZagFuzz: Interleaved Fuzzing of Program Options and Files

Guiding Dynamic Symbolic Execution toward Unverified Program Executions

SMT Solver Validation Empowered by Large Pre-Trained Language Models

Domain-Specific Fixes for Flaky Tests with Wrong Assumptions on Underdetermined Specifications

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