Copertina

FauxPy: A Fault Localization Tool for Python

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rezaalipour, Mohammad, Furia, Carlo A.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

An Empirical Study of Fault Localization in Python Programs
di: Rezaalipour, Mohammad, et al.
Pubblicazione: (2023)

An Annotation-based Approach for Finding Bugs in Neural Network Programs
di: Rezaalipour, Mohammad, et al.
Pubblicazione: (2021)

RESTORE: Retrospective Fault Localization Enhancing Automated Program Repair
di: Xu, Tongtong, et al.
Pubblicazione: (2019)

Mitigating Omitted Variable Bias in Empirical Software Engineering
di: Furia, Carlo A., et al.
Pubblicazione: (2025)

HyperPUT: Generating Synthetic Faulty Programs to Challenge Bug-Finding Tools
di: Felici, Riccardo, et al.
Pubblicazione: (2022)

PyTrim: A Practical Tool for Reducing Python Dependency Bloat
di: Karakatsanis, Konstantinos, et al.
Pubblicazione: (2025)

PyExamine A Comprehensive, UnOpinionated Smell Detection Tool for Python
di: Shivashankar, Karthik, et al.
Pubblicazione: (2025)

Automated Repair of Resource Leaks in Android Applications
di: Bhatt, Bhargav Nagaraja, et al.
Pubblicazione: (2020)

TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools
di: Venkatesh, Ashwin Prasad Shivarpatna, et al.
Pubblicazione: (2023)

PyGress: Tool for Analyzing the Progression of Code Proficiency in Python OSS Projects
di: Charatvaraphan, Rujiphart, et al.
Pubblicazione: (2025)

ShellFuzzer: Grammar-based Fuzzing of Shell Interpreters
di: Felici, Riccardo, et al.
Pubblicazione: (2024)

Towards Causal Analysis of Empirical Software Engineering Data: The Impact of Programming Languages on Coding Competitions
di: Furia, Carlo A., et al.
Pubblicazione: (2023)

Applying Bayesian Analysis Guidelines to Empirical Software Engineering Data: The Case of Programming Languages and Code Quality
di: Furia, Carlo A., et al.
Pubblicazione: (2021)

Challenges of Multilingual Program Specification and Analysis
di: Furia, Carlo A., et al.
Pubblicazione: (2024)

What Makes a Level Hard in Super Mario Maker 2?
di: Furia, Carlo A., et al.
Pubblicazione: (2025)

Bayesian Data Analysis in Empirical Software Engineering Research
di: Furia, Carlo A., et al.
Pubblicazione: (2018)

Towards Improving the External Validity of Software Engineering Experiments with Transportability Methods
di: Frattini, Julian, et al.
Pubblicazione: (2026)

PyResBugs: A Dataset of Residual Python Bugs for Natural Language-Driven Fault Injection
di: Cotroneo, Domenico, et al.
Pubblicazione: (2025)

DyPyBench: A Benchmark of Executable Python Software
di: Bouzenia, Islem, et al.
Pubblicazione: (2024)

PyTy: Repairing Static Type Errors in Python
di: Chow, Yiu Wai, et al.
Pubblicazione: (2024)

On the Integration of Spectrum-Based Fault Localization Tools into IDEs
di: Szatmári, Attila, et al.
Pubblicazione: (2024)

Ranking Plausible Patches by Historic Feature Frequencies
di: Bhuiyan, Shifat Sahariar, et al.
Pubblicazione: (2024)

PyTracer: Automatically profiling numerical instabilities in Python
di: Chatelain, Yohan, et al.
Pubblicazione: (2021)

PyPulse: A Python Library for Biosignal Imputation
di: Gao, Kevin, et al.
Pubblicazione: (2024)

Hybrid Fault-Driven Mutation Testing for Python
di: Alimadadi, Saba, et al.
Pubblicazione: (2026)

HaPy-Bug -- Human Annotated Python Bug Resolution Dataset
di: Przymus, Piotr, et al.
Pubblicazione: (2025)

HQPEF-Py: Metrics, Python Patterns, and Guidance for Evaluating Hybrid Quantum Programs
di: Osei, Michael Adjei, et al.
Pubblicazione: (2025)

Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem
di: Peng, Yun, et al.
Pubblicazione: (2023)

SafePyScript: A Web-Based Solution for Machine Learning-Driven Vulnerability Detection in Python
di: Farasat, Talaya, et al.
Pubblicazione: (2024)

BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies
di: Widyasari, Ratnadira, et al.
Pubblicazione: (2024)

From Code Changes to Quality Gains: An Empirical Study in Python ML Systems with PyQu
di: Almukhtar, Mohamed, et al.
Pubblicazione: (2025)

GlycoPy: A CasADi-based Python Framework for Hierarchical Modeling, Optimization, and Control of Bioprocesses
di: Ma, Yingjie, et al.
Pubblicazione: (2026)

PyGen: A Collaborative Human-AI Approach to Python Package Creation
di: Barua, Saikat, et al.
Pubblicazione: (2024)

Evolution of statistical analysis in empirical software engineering research: Current state and steps forward
di: Neto, Francisco Gomes de Oliveira, et al.
Pubblicazione: (2017)

A Method to Assess and Argue for Practical Significance in Software Engineering
di: Torkar, Richard, et al.
Pubblicazione: (2018)

SBEST: Spectrum-Based Fault Localization Without Fault-Triggering Tests
di: Rafi, Md Nakhla, et al.
Pubblicazione: (2024)

Real-World Fault Detection for C-Extended Python Projects with Automated Unit Test Generation
di: Berg, Lucas, et al.
Pubblicazione: (2026)

SBFT Tool Competition 2024 -- Python Test Case Generation Track
di: Erni, Nicolas, et al.
Pubblicazione: (2024)

Fault Localization in Deep Learning-based Software: A System-level Approach
di: Morovati, Mohammad Mehdi, et al.
Pubblicazione: (2024)

LLMs-Powered Real-Time Fault Injection: An Approach Toward Intelligent Fault Test Cases Generation
di: Abboush, Mohammad, et al.
Pubblicazione: (2025)