:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bhatt, Bhargav Nagaraja, Furia, Carlo A.
Format:	Preprint
Published:	2020
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2003.03201
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Repairing Leaks in Resource Wrappers
by: Malakar, Sanjay, et al.
Published: (2025)

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

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

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

FauxPy: A Fault Localization Tool for Python
by: Rezaalipour, Mohammad, et al.
Published: (2024)

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

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

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

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

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

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

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

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

Automated Generation of High-Quality Bug Reports for Android Applications
by: Saha, Antu, et al.
Published: (2026)

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

GDPR-Bench-Android: A Benchmark for Evaluating Automated GDPR Compliance Detection in Android
by: Ran, Huaijin, et al.
Published: (2025)

Automating Android Build Repair: Bridging the Reasoning-Execution Gap in LLM Agents with Domain-Specific Tools
by: Son, Ha Min, et al.
Published: (2025)

Automated Program Repair of Uncompilable Student Code
by: Pitts, Griffin, et al.
Published: (2025)

Boosting Static Resource Leak Detection via LLM-based Resource-Oriented Intention Inference
by: Wang, Chong, et al.
Published: (2023)

Automated Update of Android Deprecated API Usages with Large Language Models
by: Mahmud, Tarek, et al.
Published: (2024)

Feedback-Driven Automated Whole Bug Report Reproduction for Android Apps
by: Wang, Dingbang, et al.
Published: (2024)

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

ThinkRepair: Self-Directed Automated Program Repair
by: Yin, Xin, et al.
Published: (2024)

AndroScanner: Automated Backend Vulnerability Detection for Android Applications
by: Dandu, Harini
Published: (2026)

Specification Vibing for Automated Program Repair
by: Zhu, Taohong, et al.
Published: (2026)

Automated Test Transfer Across Android Apps Using Large Language Models
by: Beyzaei, Benyamin, et al.
Published: (2024)

Which Code Statements Implement Privacy Behaviors in Android Applications?
by: Su, Chia-Yi, et al.
Published: (2025)

Diagnosing and Resolving Android Applications Building Issues: An Empirical Study
by: Bodepudi, Lakshmi Priya, et al.
Published: (2025)

Characterizing Bugs in Login Processes of Android Applications: An Empirical Study
by: Zhou, Zixu, et al.
Published: (2025)

AutoDroid: LLM-powered Task Automation in Android
by: Wen, Hao, et al.
Published: (2023)

LLM-CompDroid: Repairing Configuration Compatibility Bugs in Android Apps with Pre-trained Large Language Models
by: Liu, Zhijie, et al.
Published: (2024)

Prompting Is All You Need: Automated Android Bug Replay with Large Language Models
by: Feng, Sidong, et al.
Published: (2023)

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

A Survey of LLM-based Automated Program Repair: Taxonomies, Design Paradigms, and Applications
by: Yang, Boyang, et al.
Published: (2025)

DroidBot-GPT: GPT-powered UI Automation for Android
by: Wen, Hao, et al.
Published: (2023)

Patch Validation in Automated Vulnerability Repair
by: Yu, Zheng, et al.
Published: (2026)

Energy Consumption of Automated Program Repair
by: Martinez, Matias, et al.
Published: (2022)

Automated Repair of Cyber-Physical Systems
by: Valle, Pablo
Published: (2025)

LeakGuard: Detecting Memory Leaks Accurately and Scalably
by: Liang, Hongliang, et al.
Published: (2025)