Understanding and Characterizing Mock Assertions in Unit Tests
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Hengcheng, Terragni, Valerio, Wei, Lili, Cheung, Shing-Chi, Wu, Jiarong, Liu, Yepang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases
by: Xu, Congying, et al.
Published: (2023)
by: Xu, Congying, et al.
Published: (2023)
LSPFuzz: Hunting Bugs in Language Servers
by: Zhu, Hengcheng, et al.
Published: (2025)
by: Zhu, Hengcheng, et al.
Published: (2025)
MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis
by: Xu, Congying, et al.
Published: (2026)
by: Xu, Congying, et al.
Published: (2026)
MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing
by: Xu, Congying, et al.
Published: (2024)
by: Xu, Congying, et al.
Published: (2024)
Improving LLM-Driven Test Generation by Learning from Mocking Information
by: Lee, Jamie, et al.
Published: (2026)
by: Lee, Jamie, et al.
Published: (2026)
ReuseDroid: A VLM-empowered Android UI Test Migrator Boosted by Active Feedback
by: Li, Xiaolei, et al.
Published: (2025)
by: Li, Xiaolei, et al.
Published: (2025)
LLM-Powered Detection of Price Manipulation in DeFi
by: Liu, Lu, et al.
Published: (2025)
by: Liu, Lu, et al.
Published: (2025)
Understanding LLM-Driven Test Oracle Generation
by: Bodicoat, Adam, et al.
Published: (2026)
by: Bodicoat, Adam, et al.
Published: (2026)
Characterizing Bugs in Login Processes of Android Applications: An Empirical Study
by: Zhou, Zixu, et al.
Published: (2025)
by: Zhou, Zixu, et al.
Published: (2025)
From Untestable to Testable: Metamorphic Testing in the Age of LLMs
by: Terragni, Valerio
Published: (2026)
by: Terragni, Valerio
Published: (2026)
Can Large Language Models Model Programs Formally?
by: Chen, Zhiyong, et al.
Published: (2026)
by: Chen, Zhiyong, et al.
Published: (2026)
An Evolutionary Approach to Adapt Tests Across Mobile Apps
by: Mariani, Leonardo, et al.
Published: (2021)
by: Mariani, Leonardo, et al.
Published: (2021)
Metamorphic Testing of Large Language Models for Natural Language Processing
by: Cho, Steven, et al.
Published: (2025)
by: Cho, Steven, et al.
Published: (2025)
Automatic Build Repair for Test Cases using Incompatible Java Versions
by: Mak, Ching Hang, et al.
Published: (2024)
by: Mak, Ching Hang, et al.
Published: (2024)
Towards Understanding Android APIs: Official Lists, Vendor Customizations, and Real-World Usage
by: Wang, Sinan, et al.
Published: (2026)
by: Wang, Sinan, et al.
Published: (2026)
Can Emulating Semantic Translation Help LLMs with Code Translation? A Study Based on Pseudocode
by: Chen, Songqiang, et al.
Published: (2025)
by: Chen, Songqiang, et al.
Published: (2025)
Adoption and Evolution of Code Style and Best Programming Practices in Open-Source Projects
by: Kupari, Alvari, et al.
Published: (2026)
by: Kupari, Alvari, et al.
Published: (2026)
How Far are App Secrets from Being Stolen? A Case Study on Android
by: Wei, Lili, et al.
Published: (2025)
by: Wei, Lili, et al.
Published: (2025)
Word Closure-Based Metamorphic Testing for Machine Translation
by: Xie, Xiaoyuan, et al.
Published: (2023)
by: Xie, Xiaoyuan, et al.
Published: (2023)
Automated Trustworthiness Testing for Machine Learning Classifiers
by: Cho, Steven, et al.
Published: (2024)
by: Cho, Steven, et al.
Published: (2024)
Demystifying Device-specific Compatibility Issues in Android Apps
by: Chen, Junfeng, et al.
Published: (2024)
by: Chen, Junfeng, et al.
Published: (2024)
Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval
by: Wu, Jiarong, et al.
Published: (2025)
by: Wu, Jiarong, et al.
Published: (2025)
Optimization-Aware Test Generation for Deep Learning Compilers
by: Shen, Qingchao, et al.
Published: (2025)
by: Shen, Qingchao, et al.
Published: (2025)
A Tale of Two DL Cities: When Library Tests Meet Compiler
by: Shen, Qingchao, et al.
Published: (2024)
by: Shen, Qingchao, et al.
Published: (2024)
Multi-agent Assisted Automatic Test Generation for Java JSON Libraries
by: Wang, Sinan, et al.
Published: (2024)
by: Wang, Sinan, et al.
Published: (2024)
Towards Understanding the Bugs in Solidity Compiler
by: Ma, Haoyang, et al.
Published: (2024)
by: Ma, Haoyang, et al.
Published: (2024)
Fine-Grained Assertion-Based Test Selection
by: Gu, Sijia, et al.
Published: (2024)
by: Gu, Sijia, et al.
Published: (2024)
GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming
by: Ayerdi, Jon, et al.
Published: (2023)
by: Ayerdi, Jon, et al.
Published: (2023)
Leveraging Large Vision Language Model For Better Automatic Web GUI Testing
by: Wang, Siyi, et al.
Published: (2024)
by: Wang, Siyi, et al.
Published: (2024)
Generating Mock Skeletons for Lightweight Web-Service Testing
by: Bhagya, Thilini, et al.
Published: (2019)
by: Bhagya, Thilini, et al.
Published: (2019)
What Builds Effective In-Context Examples for Code Generation?
by: Li, Dongze, et al.
Published: (2025)
by: Li, Dongze, et al.
Published: (2025)
RulER: Automated Rule-Based Semantic Error Localization and Repair for Code Translation
by: Jin, Shuo, et al.
Published: (2025)
by: Jin, Shuo, et al.
Published: (2025)
Are Coding Agents Generating Over-Mocked Tests? An Empirical Study
by: Hora, Andre, et al.
Published: (2026)
by: Hora, Andre, et al.
Published: (2026)
Concerned with Data Contamination? Assessing Countermeasures in Code Language Model
by: Cao, Jialun, et al.
Published: (2024)
by: Cao, Jialun, et al.
Published: (2024)
Automatic Assertion Mining in Assertion-Based Verification: Techniques, Challenges, and Future Directions
by: Iman, Mohammad Reza Heidari, et al.
Published: (2026)
by: Iman, Mohammad Reza Heidari, et al.
Published: (2026)
A Regression Testing Framework with Automated Assertion Generation for Machine Learning Notebooks
by: Yao, Yingao Elaine, et al.
Published: (2025)
by: Yao, Yingao Elaine, et al.
Published: (2025)
On the Rationale and Use of Assertion Messages in Test Code: Insights from Software Practitioners
by: Peruma, Anthony, et al.
Published: (2024)
by: Peruma, Anthony, et al.
Published: (2024)
LLMORPH: Automated Metamorphic Testing of Large Language Models
by: Cho, Steven, et al.
Published: (2026)
by: Cho, Steven, et al.
Published: (2026)
Exploring Challenges in Test Mocking: Developer Questions and Insights from StackOverflow
by: Ahmed, Mumtahina, et al.
Published: (2025)
by: Ahmed, Mumtahina, et al.
Published: (2025)
Mock Deep Testing: Toward Separate Development of Data and Models for Deep Learning
by: Manke, Ruchira, et al.
Published: (2025)
by: Manke, Ruchira, et al.
Published: (2025)
Similar Items
-
MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases
by: Xu, Congying, et al.
Published: (2023) -
LSPFuzz: Hunting Bugs in Language Servers
by: Zhu, Hengcheng, et al.
Published: (2025) -
MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis
by: Xu, Congying, et al.
Published: (2026) -
MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing
by: Xu, Congying, et al.
Published: (2024) -
Improving LLM-Driven Test Generation by Learning from Mocking Information
by: Lee, Jamie, et al.
Published: (2026)