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Toward static test flakiness prediction: a feasibility study

https://doi.org/10.1145/3472674.3473981
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10664-020-09891-yopenalex-snapshot
The Relation of Test-Related Factors to Software Quality: A Case Study on Apache Systems
inferredcites →https://doi.org/10.1007/s11135-006-9018-6openalex-snapshot
A Caution Regarding Rules of Thumb for Variance Inflation Factors
inferredcites →https://doi.org/10.1109/32.295895openalex-snapshot
A metrics suite for object oriented design
inferredcites →https://doi.org/10.1109/access.2021.3082424openalex-snapshot
Know You Neighbor: Fast Static Prediction of Test Flakiness
inferredcites →https://doi.org/10.1109/agile.2009.35openalex-snapshot
Killing the Gatekeeper: Introducing a Continuous Integration System
inferredcites →https://doi.org/10.1109/ase.2009.17openalex-snapshot
ReAssert: Suggesting Repairs for Broken Unit Tests
inferredcites →https://doi.org/10.1109/concapan.2017.8278488openalex-snapshot
Refactoring improving the design of existing code
inferredcites →https://doi.org/10.1109/icpc52881.2021.00052openalex-snapshot
What is the Vocabulary of Flaky Tests? An Extended Replication
inferredcites →https://doi.org/10.1109/icse.2013.6606750openalex-snapshot
Automated testing of GUI applications: Models, tools, and controlling flakiness
inferredcites →https://doi.org/10.1109/icse.2017.66openalex-snapshot
A Test-Suite Diagnosability Metric for Spectrum-Based Fault Localization Approaches
inferredcites →https://doi.org/10.1109/icse43902.2021.00140openalex-snapshot
FlakeFlagger: Predicting Flakiness Without Rerunning Tests
inferredcites →https://doi.org/10.1109/icsme.2018.00062openalex-snapshot
An Empirical Study of Flaky Tests in Android Apps
inferredcites →https://doi.org/10.1109/icsme.2019.00034openalex-snapshot
How the Experience of Development Teams Relates to Assertion Density of Test Classes
inferredcites →https://doi.org/10.1109/icsme46990.2020.00040openalex-snapshot
Pizza versus Pinsa: On the Perception and Measurability of Unit Test Code Quality
inferredcites →https://doi.org/10.1109/icst.2019.00038openalex-snapshot
iDFlakies: A Framework for Detecting and Partially Classifying Flaky Tests
inferredcites →https://doi.org/10.1109/issre5003.2020.00045openalex-snapshot
Understanding Reproducibility and Characteristics of Flaky Tests Through Test Reruns in Java Projects
inferredcites →https://doi.org/10.1109/msr52588.2021.00034openalex-snapshot
A Replication Study on the Usability of Code Vocabulary in Predicting Flaky Tests
inferredcites →https://doi.org/10.1109/tse.1976.233837openalex-snapshot
A Complexity Measure
inferredcites →https://doi.org/10.1109/tse.2009.50openalex-snapshot
DECOR: A Method for the Specification and Detection of Code and Design Smells
inferredcites →https://doi.org/10.1109/tse.2019.2903057openalex-snapshot
Lightweight Assessment of Test-Case Effectiveness Using Source-Code-Quality Indicators
inferredcites →https://doi.org/10.1145/2610384.2610404openalex-snapshot
Empirically revisiting the test independence assumption
inferredcites →https://doi.org/10.1145/2635868.2635920openalex-snapshot
An empirical analysis of flaky tests
inferredcites →https://doi.org/10.1145/3180155.3180164openalex-snapshot
D e F laker
inferredcites →https://doi.org/10.1145/3180155.3182532openalex-snapshot
On the diffuseness and the impact on maintainability of code smells
inferredcites →https://doi.org/10.1145/3338906.3338945openalex-snapshot
Understanding flaky tests: the developer’s perspective
inferredcites →https://doi.org/10.1145/3377816.3381742openalex-snapshot
A container-based infrastructure for fuzzy-driven root causing of flaky tests
inferredcites →https://doi.org/10.1145/3379597.3387482openalex-snapshot
What is the Vocabulary of Flaky Tests?
inferredcites →https://doi.org/10.1145/3399715.3399954openalex-snapshot
VITRuM
inferredcites →https://doi.org/10.1145/3428270openalex-snapshot
A large-scale longitudinal study of flaky tests
inferredcites →https://doi.org/10.18293/seke2015-099openalex-snapshot
A Software Defect-Proneness Prediction Framework: A new approach using genetic algorithms to generate learning schemes
inferredcites →https://doi.org/10.2307/2344614openalex-snapshot
Generalized Linear Models
inferredcites →https://doi.org/10.5860/choice.46-0935openalex-snapshot
Software testing and analysis: process, principles, and techniques
inferredcites →https://doi.org/10.6084/m9.figshare.14645895openalex-snapshot
Toward Static Test Flakiness Prediction: A Feasibility Study

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4536718openalex-extracted
Test Code Flakiness in Mobile Apps: The Developer's Perspective
inferred← citeshttps://doi.org/10.1007/978-3-032-12092-2_28openalex-snapshot
Chatting About Flaky Tests with Standard LLMs. An Empirical Exploration
inferred← citeshttps://doi.org/10.1007/s10664-022-10227-1openalex-snapshot
Static test flakiness prediction: How Far Can We Go?
inferred← citeshttps://doi.org/10.1007/s10664-023-10307-wopenalex-snapshot
Empirically evaluating flaky test detection techniques combining test case rerunning and machine learning models
inferred← citeshttps://doi.org/10.1007/s10664-023-10436-2openalex-snapshot
Machine learning-based test smell detection
inferred← citeshttps://doi.org/10.1016/j.infsof.2023.107394openalex-snapshot
Test Code Flakiness in Mobile Apps: The Developer’s Perspective
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108070openalex-snapshot
DeepFlaky: Deep hybrid representation learning for flaky test prediction
inferred← citeshttps://doi.org/10.1016/j.jss.2026.113118openalex-snapshot
Detecting concurrency-related flaky tests in Android via event read-write conflicts
inferred← citeshttps://doi.org/10.1109/access.2024.3458184openalex-snapshot
A Large-Scale Empirical Investigation Into Cross-Project Flaky Test Prediction
inferred← citeshttps://doi.org/10.1109/ast58925.2023.00018openalex-snapshot
FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning
inferred← citeshttps://doi.org/10.1109/icsme58944.2024.00078openalex-snapshot
Just-in-Time Flaky Test Detection via Abstracted Failure Symptom Matching
inferred← citeshttps://doi.org/10.1109/icsme64153.2025.00064openalex-snapshot
Efficient Detection of Intermittent Job Failures Using Few-Shot Learning
inferred← citeshttps://doi.org/10.1109/icsr66718.2025.00015openalex-snapshot
Predicting the Root Cause of Flaky Tests Based on Test Smells
inferred← citeshttps://doi.org/10.1109/icst53961.2022.00021openalex-snapshot
Evaluating Features for Machine Learning Detection of Order- and Non-Order-Dependent Flaky Tests
inferred← citeshttps://doi.org/10.1109/tse.2022.3201209openalex-snapshot
Flakify: A Black-Box, Language Model-Based Predictor for Flaky Tests
inferred← citeshttps://doi.org/10.1109/tse.2024.3472476openalex-snapshot
FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair
inferred← citeshttps://doi.org/10.1145/3502771.3502777openalex-snapshot
MaLTeSQuE 2021 Workshop Summary
inferred← citeshttps://doi.org/10.1145/3510454.3522680openalex-snapshot
Static test flakiness prediction
inferred← citeshttps://doi.org/10.1145/3691620.3695261openalex-snapshot
The Importance of Accounting for Execution Failures when Predicting Test Flakiness
inferred← citeshttps://doi.org/10.3390/info15060354openalex-snapshot
The Use of AI in Software Engineering: A Synthetic Knowledge Synthesis of the Recent Research Literature
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