Mike Papadakis

Orcid: 0000-0003-1852-2547

According to our database1, Mike Papadakis authored at least 178 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Test Input Prioritization for Machine Learning Classifiers.
IEEE Trans. Software Eng., March, 2024

KAPE: <i>k</i>NN-based Performance Testing for Deep Code Search.
ACM Trans. Softw. Eng. Methodol., February, 2024

LaF: Labeling-free Model Selection for Automated Deep Neural Network Reusing.
ACM Trans. Softw. Eng. Methodol., January, 2024

GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks.
ACM Trans. Softw. Eng. Methodol., January, 2024

Importance Guided Data Augmentation for Neural-Based Code Understanding.
CoRR, 2024

You Can REST Now: Automated Specification Inference and Black-Box Testing of RESTful APIs with Large Language Models.
CoRR, 2024

2023
Syntactic Versus Semantic Similarity of Artificial and Real Faults in Mutation Testing Studies.
IEEE Trans. Software Eng., July, 2023

iBiR: Bug-report-driven Fault Injection.
ACM Trans. Softw. Eng. Methodol., April, 2023

Mutation Testing in Evolving Systems: Studying the Relevance of Mutants to Code Evolution.
ACM Trans. Softw. Eng. Methodol., January, 2023

Cerebro: Static Subsuming Mutant Selection.
IEEE Trans. Software Eng., 2023

Smells in system user interactive tests.
Empir. Softw. Eng., 2023

Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations.
CoRR, 2023

Large Language Models in Fault Localisation.
CoRR, 2023

Evaluating the Robustness of Test Selection Methods for Deep Neural Networks.
CoRR, 2023

Active Code Learning: Benchmarking Sample-Efficient Training of Code Models.
CoRR, 2023

Time-based Repair for Asynchronous Wait Flaky Tests in Web Testing.
CoRR, 2023

Boosting Source Code Learning with Data Augmentation: An Empirical Study.
CoRR, 2023

Vulnerability Mimicking Mutants.
CoRR, 2023

The Importance of Discerning Flaky from Fault-triggering Test Failures: A Case Study on the Chromium CI.
CoRR, 2023

Specification Inference for Evolving Systems.
CoRR, 2023

Assertion Inferring Mutants.
CoRR, 2023

Efficient Mutation Testing via Pre-Trained Language Models.
CoRR, 2023

MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Keeping Mutation Test Suites Consistent and Relevant with Long-Standing Mutants.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Enabling Efficient Assertion Inference.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Evaluating the Impact of Experimental Assumptions in Automated Fault Localization.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

CodeS: Towards Code Model Generalization Under Distribution Shift.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, 2023

Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks.
Proceedings of the International Conference on Machine Learning, 2023

Automated Repair of Unrealisable LTL Specifications Guided by Model Counting.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

ACoRe: Automated Goal-Conflict Resolution.
Proceedings of the Fundamental Approaches to Software Engineering, 2023

Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment.
Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

On Comparing Mutation Testing Tools through Learning-based Mutant Selection.
Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2023

FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning.
Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2023

On Evaluating Adversarial Robustness of Chest X-ray Classification.
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022
An Empirical Study on Data Distribution-Aware Test Selection for Deep Learning Enhancement.
ACM Trans. Softw. Eng. Methodol., 2022

Mutation analysis and its industrial applications.
Softw. Test. Verification Reliab., 2022

On the use of commit-relevant mutants.
Empir. Softw. Eng., 2022

Learning from what we know: How to perform vulnerability prediction using noisy historical data.
Empir. Softw. Eng., 2022

Enhancing Mixup-Based Graph Learning for Language Processing via Hybrid Pooling.
CoRR, 2022

Enhancing Code Classification by Mixup-Based Data Augmentation.
CoRR, 2022

Predicting Flaky Tests Categories using Few-Shot Learning.
CoRR, 2022

Efficient Testing of Deep Neural Networks via Decision Boundary Analysis.
CoRR, 2022

CodeS: A Distribution Shift Benchmark Dataset for Source Code Learning.
CoRR, 2022

Software Fairness: An Analysis and Survey.
CoRR, 2022

Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment.
CoRR, 2022

Labeling-Free Comparison Testing of Deep Learning Models.
CoRR, 2022

Using Evolutionary Coupling to Establish Relevance Links Between Tests and Code Units. A case study on fault localization.
CoRR, 2022

Efficient and transferable adversarial examples from bayesian neural networks.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

IntJect: Vulnerability Intent Bug Seeding.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

CodeBERT-nt: Code Naturalness via CodeBERT.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

CEMENT: On the Use of Evolutionary Coupling Between Tests and Code Units. A Case Study on Fault Localization.
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

A Qualitative Study on the Sources, Impacts, and Mitigation Strategies of Flaky Tests.
Proceedings of the 15th IEEE Conference on Software Testing, Verification and Validation, 2022

µBert: Mutation Testing using Pre-Trained Language Models.
Proceedings of the 15th IEEE International Conference on Software Testing, 2022

What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

FlakiMe: Laboratory-Controlled Test Flakiness Impact Assessment.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Improving Machine Translation Systems via Isotopic Replacement.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity.
Proceedings of the Computer Vision - ECCV 2022, 2022

Influence-driven data poisoning in graph-based semi-supervised classifiers.
Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022

Robust active learning: sample-efficient training of robust deep learning models.
Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022

An empirical study of async wait flakiness in front-end testing.
Proceedings of the Belgium-Netherlands Software Evolution Workshop, 2022

Adversarial Robustness in Multi-Task Learning: Promises and Illusions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Test Selection for Deep Learning Systems.
ACM Trans. Softw. Eng. Methodol., 2021

Killing Stubborn Mutants with Symbolic Execution.
ACM Trans. Softw. Eng. Methodol., 2021

Statistical model checking for variability-intensive systems: applications to bug detection and minimization.
Formal Aspects Comput., 2021

Syntactic Vs. Semantic similarity of Artificial and Real Faults in Mutation Testing Studies.
CoRR, 2021

Discerning Legitimate Failures From False Alerts: A Study of Chromium's Continuous Integration.
CoRR, 2021

Automated Repair of Unrealisable LTL Specifications Guided by Model Counting.
CoRR, 2021

On the Use of Mutation in Injecting Test Order-Dependency.
CoRR, 2021

Confuzzion: A Java Virtual Machine Fuzzer for Type Confusion Vulnerabilities.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

A Replication Study on the Usability of Code Vocabulary in Predicting Flaky Tests.
Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

Towards Exploring the Limitations of Active Learning: An Empirical Study.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

MuDelta: Delta-Oriented Mutation Testing at Commit Time.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Evasion Attack STeganography: Turning Vulnerability Of Machine Learning To Adversarial Attacks Into A Real-world Application.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Selecting fault revealing mutants.
Empir. Softw. Eng., 2020

Learning To Predict Vulnerabilities From Vulnerability-Fixes: A Machine Translation Approach.
CoRR, 2020

Effective and Efficient Data Poisoning in Semi-Supervised Learning.
CoRR, 2020

Efficient and Transferable Adversarial Examples from Bayesian Neural Networks.
CoRR, 2020

Search-based adversarial testing and improvement of constrained credit scoring systems.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Data-driven Simulation and Optimization for Covid-19 Exit Strategies.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Commit-Aware Mutation Testing.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Automatic testing and improvement of machine translation.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

FeatureNET: diversity-driven generation of deep learning models.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Muteria: An Extensible and Flexible Multi-Criteria Software Testing Framework.
Proceedings of the AST@ICSE 2020: IEEE/ACM 1st International Conference on Automation of Software Test, 2020

Statistical Model Checking for Variability-Intensive Systems.
Proceedings of the Fundamental Approaches to Software Engineering, 2020

2019
Empirical evaluation of mutation-based test case prioritization techniques.
Softw. Test. Verification Reliab., 2019

Editorial to the theme section on model-based testing.
Softw. Syst. Model., 2019

FlakiMe: Laboratory-Controlled Test Flakiness Impact Assessment. A Case Study on Mutation Testing and Program Repair.
CoRR, 2019

Adversarial Embedding: A robust and elusive Steganography and Watermarking technique.
CoRR, 2019

Automated Search for Configurations of Deep Neural Network Architectures.
CoRR, 2019

Chapter Six - Mutation Testing Advances: An Analysis and Survey.
Adv. Comput., 2019

Automated search for configurations of convolutional neural network architectures.
Proceedings of the 23rd International Systems and Software Product Line Conference, 2019

A Replicable Comparison Study of NER Software: StanfordNLP, NLTK, OpenNLP, SpaCy, Gate.
Proceedings of the Sixth International Conference on Social Networks Analysis, 2019

The importance of accounting for real-world labelling when predicting software vulnerabilities.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Mart: a mutant generation tool for LLVM.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Ukwikora: continuous inspection for keyword-driven testing.
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

Semantic fuzzing with zest.
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

Search-based test and improvement of machine-learning-based anomaly detection systems.
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

On the Evolution of Keyword-Driven Test Suites.
Proceedings of the 12th IEEE Conference on Software Testing, Validation and Verification, 2019

An Industrial Study on the Differences between Pre-Release and Post-Release Bugs.
Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

Validity fuzzing and parametric generators for effective random testing.
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

Assessing transition-based test selection algorithms at Google.
Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

2018
Detecting Trivial Mutant Equivalences via Compiler Optimisations.
IEEE Trans. Software Eng., 2018

Model-based mutant equivalence detection using automata language equivalence and simulations.
J. Syst. Softw., 2018

Feature location benchmark for extractive software product line adoption research using realistic and synthetic Eclipse variants.
Inf. Softw. Technol., 2018

How effective are mutation testing tools? An empirical analysis of Java mutation testing tools with manual analysis and real faults.
Empir. Softw. Eng., 2018

Zest: Validity Fuzzing and Parametric Generators for Effective Random Testing.
CoRR, 2018

[Engineering Paper] Enabling the Continuous Analysis of Security Vulnerabilities with VulData7.
Proceedings of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation, 2018

Mutant Quality Indicators.
Proceedings of the 2018 IEEE International Conference on Software Testing, 2018

TUNA: TUning Naturalness-Based Analysis.
Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

On the Impact of Tokenizer and Parameters on N-Gram Based Code Analysis.
Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

Are mutation scores correlated with real fault detection?: a large scale empirical study on the relationship between mutants and real faults.
Proceedings of the 40th International Conference on Software Engineering, 2018

Time to clean your test objectives.
Proceedings of the 40th International Conference on Software Engineering, 2018

Predicting the fault revelation utility of mutants.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Are mutants really natural?: a study on how "naturalness" helps mutant selection.
Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018

A Hybrid Algorithm for Multi-Objective Test Case Selection.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Can We Automate Away the Main Challenges of End-To-End Testing?
Proceedings of the 17th Belgium-Netherlands Software Evolution Workshop, Delft, the Netherlands, December 10th - to, 2018

2017
Special issue on Mutation Testing.
Inf. Softw. Technol., 2017

Static analysis of android apps: A systematic literature review.
Inf. Softw. Technol., 2017

Empirical Evaluation of Mutation-based Test Prioritization Techniques.
CoRR, 2017

Freeing Testers from Polluting Test Objectives.
CoRR, 2017

Towards Security-Aware Mutation Testing.
Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

Assessing and Improving the Mutation Testing Practice of PIT.
Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

Automata Language Equivalence vs. Simulations for Model-Based Mutant Equivalence: An Empirical Evaluation.
Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

An empirical study on mutation, statement and branch coverage fault revelation that avoids the unreliable clean program assumption.
Proceedings of the 39th International Conference on Software Engineering, 2017

2016
Assessing and Improving the Mutation Testing Practice of PIT.
CoRR, 2016

Assessing and Comparing Mutation-based Fault Localization Techniques.
CoRR, 2016

Analysing and Comparing the Effectiveness of Mutation Testing Tools: A Manual Study.
Proceedings of the 16th IEEE International Working Conference on Source Code Analysis and Manipulation, 2016

Vulnerability Prediction Models: A Case Study on the Linux Kernel.
Proceedings of the 16th IEEE International Working Conference on Source Code Analysis and Manipulation, 2016

Profiling Android Vulnerabilities.
Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

Threats to the validity of mutation-based test assessment.
Proceedings of the 25th International Symposium on Software Testing and Analysis, 2016

PIT: a practical mutation testing tool for Java (demo).
Proceedings of the 25th International Symposium on Software Testing and Analysis, 2016

Feature Location Benchmark for Software Families Using Eclipse Community Releases.
Proceedings of the Software Reuse: Bridging with Social-Awareness, 2016

Strong mutation-based test data generation using hill climbing.
Proceedings of the 9th International Workshop on Search-Based Software Testing, 2016

Comparing white-box and black-box test prioritization.
Proceedings of the 38th International Conference on Software Engineering, 2016

Featured model-based mutation analysis.
Proceedings of the 38th International Conference on Software Engineering, 2016

An Empirical Analysis of Vulnerabilities in OpenSSL and the Linux Kernel.
Proceedings of the 23rd Asia-Pacific Software Engineering Conference, 2016

2015
Metallaxis-FL: mutation-based fault localization.
Softw. Test. Verification Reliab., 2015

Employing second-order mutation for isolating first-order equivalent mutants.
Softw. Test. Verification Reliab., 2015

Similarity testing for access control.
Inf. Softw. Technol., 2015

Flattening or not of the combinatorial interaction testing models?
Proceedings of the Eighth IEEE International Conference on Software Testing, 2015

Sound and Quasi-Complete Detection of Infeasible Test Requirements.
Proceedings of the 8th IEEE International Conference on Software Testing, 2015

Trivial Compiler Equivalence: A Large Scale Empirical Study of a Simple, Fast and Effective Equivalent Mutant Detection Technique.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Combining Multi-Objective Search and Constraint Solving for Configuring Large Software Product Lines.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014
Bypassing the Combinatorial Explosion: Using Similarity to Generate and Prioritize T-Wise Test Configurations for Software Product Lines.
IEEE Trans. Software Eng., 2014

Mitigating the effects of equivalent mutants with mutant classification strategies.
Sci. Comput. Program., 2014

Mutation-Based Generation of Software Product Line Test Configurations.
Proceedings of the Search-Based Software Engineering - 6th International Symposium, 2014

A variability perspective of mutation analysis.
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16, 2014

Towards a language-independent approach for reverse-engineering of software product lines.
Proceedings of the Symposium on Applied Computing, 2014

Effective fault localization via mutation analysis: a selective mutation approach.
Proceedings of the Symposium on Applied Computing, 2014

MUTATION 2014 Workshop Summary: Ninth International Workshop on Mutation Analysis.
Proceedings of the Seventh IEEE International Conference on Software Testing, 2014

Sampling Program Inputs with Mutation Analysis: Going Beyond Combinatorial Interaction Testing.
Proceedings of the Seventh IEEE International Conference on Software Testing, 2014

MutaLog: A Tool for Mutating Logic Formulas.
Proceedings of the Seventh IEEE International Conference on Software Testing, 2014

Test Data Generation Techniques for Mutation Testing: A Systematic Mapping.
Proceedings of the XVII Iberoamerican Conference on Software Engineering, 2014

2013
PLEDGE: a product line editor and test generation tool.
Proceedings of the 17th International Software Product Line Conference co-located workshops, 2013

Multi-objective test generation for software product lines.
Proceedings of the 17th International Software Product Line Conference, 2013

Proteum/FL: A tool for localizing faults using mutation analysis.
Proceedings of the 13th IEEE International Working Conference on Source Code Analysis and Manipulation, 2013

Mutation testing strategies using mutant classification.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Testing Delegation Policy Enforcement via Mutation Analysis.
Proceedings of the Sixth IEEE International Conference on Software Testing, 2013

Assessing Software Product Line Testing Via Model-Based Mutation: An Application to Similarity Testing.
Proceedings of the Sixth IEEE International Conference on Software Testing, 2013

Towards automated testing and fixing of re-engineered feature models.
Proceedings of the 35th International Conference on Software Engineering, 2013

2012
Mutation based test case generation via a path selection strategy.
Inf. Softw. Technol., 2012

Bypassing the Combinatorial Explosion: Using Similarity to Generate and Prioritize T-wise Test Suites for Large Software Product Lines
CoRR, 2012

Killing Mutants Effectively a Search Based Approach.
Proceedings of the Knowledge-Based Software Engineering, 2012

Using Mutants to Locate "Unknown" Faults.
Proceedings of the Fifth IEEE International Conference on Software Testing, 2012

Isolating First Order Equivalent Mutants via Second Order Mutation.
Proceedings of the Fifth IEEE International Conference on Software Testing, 2012

2011
Automatically performing weak mutation with the aid of symbolic execution, concolic testing and search-based testing.
Softw. Qual. J., 2011

Automatic mutation based test data generation.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Automatic Mutation Test Case Generation via Dynamic Symbolic Execution.
Proceedings of the IEEE 21st International Symposium on Software Reliability Engineering, 2010

An Empirical Evaluation of the First and Second Order Mutation Testing Strategies.
Proceedings of the Third International Conference on Software Testing, 2010

Mutation Testing Strategies - A Collateral Approach.
Proceedings of the ICSOFT 2010, 2010

A Symbolic Execution Tool Based on the Elimination of Infeasible Paths.
Proceedings of the Fifth International Conference on Software Engineering Advances, 2010

Towards automating the generation of mutation tests.
Proceedings of the 5th Workshop on Automation of Software Test, 2010

Evaluating Mutation Testing Alternatives: A Collateral Experiment.
Proceedings of the 17th Asia Pacific Software Engineering Conference, 2010

2009
Improving Evolutionary Test Data Generation with the Aid of Symbolic Execution.
Proceedings of the Workshops of the 5th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI-2009), 2009

An Effective Path Selection Strategy for Mutation Testing.
Proceedings of the 16th Asia-Pacific Software Engineering Conference, 2009


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