Mohammad Amin Alipour

Orcid: 0000-0002-6479-7202

According to our database1, Mohammad Amin Alipour authored at least 72 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code.
CoRR, 2024

Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing.
CoRR, 2024

Revisiting Human Information Foraging: Adaptations for LLM-based Chatbots.
CoRR, 2024

Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy.
CoRR, 2024

On Trojan Signatures in Large Language Models of Code.
CoRR, 2024

Measuring Impacts of Poisoning on Model Parameters and Neuron Activations: A Case Study of Poisoning CodeBERT.
CoRR, 2024

Calibration and Correctness of Language Models for Code.
CoRR, 2024

Trust in Generative AI among Students: An exploratory study.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Student-AI Interaction: A Case Study of CS1 students.
Proceedings of the 24th Koli Calling International Conference on Computing Education Research, 2024

Measuring Impacts of Poisoning on Model Parameters and Embeddings for Large Language Models of Code.
Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024

2023
Multi-objective test selection of smart contract and blockchain applications.
PeerJ Comput. Sci., 2023

Memorization and generalization in neural code intelligence models.
Inf. Softw. Technol., 2023

Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code.
CoRR, 2023

TrojanedCM: A Repository for Poisoned Neural Models of Source Code.
CoRR, 2023

Trust in Generative AI among students: An Exploratory Study.
CoRR, 2023

A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques.
CoRR, 2023

Study of Distractors in Neural Models of Code.
Proceedings of the IEEE/ACM International Workshop on Interpretability and Robustness in Neural Software Engineering, 2023

A Study of Variable-Role-based Feature Enrichment in Neural Models of Code.
Proceedings of the IEEE/ACM International Workshop on Interpretability and Robustness in Neural Software Engineering, 2023

Towards Characterizing Trust in Generative Artificial Intelligence among Students.
Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

2022
FeatureExtractor: A tool for extracting key input features of code intelligence models.
Softw. Impacts, December, 2022

ProgramTransformer: A tool for generating semantically equivalent transformed programs.
Softw. Impacts, December, 2022

Syntax-guided program reduction for understanding neural code intelligence models.
Proceedings of the MAPS@PLDI 2022: 6th ACM SIGPLAN International Symposium on Machine Programming, 2022

Removing Uninteresting Bytes in Software Fuzzing.
Proceedings of the 15th IEEE International Conference on Software Testing, 2022

Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021
Computer Science Students' Perceptions of Emergency Remote Teaching: An Experience Report.
SN Comput. Sci., 2021

On the generalizability of Neural Program Models with respect to semantic-preserving program transformations.
Inf. Softw. Technol., 2021

DIAR: Removing Uninteresting Bytes from Seeds in Software Fuzzing.
CoRR, 2021

FMViz: Visualizing Tests Generated by AFL at the Byte-level.
CoRR, 2021

Encoding Program as Image: Evaluating Visual Representation of Source Code.
CoRR, 2021

Understanding neural code intelligence through program simplification.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Configuring test generators using bug reports: a case study of GCC compiler and Csmith.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

2020
Towards Demystifying Dimensions of Source Code Embeddings.
CoRR, 2020

On the Generalizability of Neural Program Analyzers with respect to Semantic-Preserving Program Transformations.
CoRR, 2020

Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations.
CoRR, 2020

Examining user reviews of conversational systems: a case study of Alexa skills.
CoRR, 2020

Student Adoption and Perceptions of a Web Integrated Development Environment: An Experience Report.
Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

Smart Contract Development from the Perspective of Developers: Topics and Issues Discussed on Social Media.
Proceedings of the Financial Cryptography and Data Security, 2020

2019
Testing Neural Programs.
CoRR, 2019

K-CONFIG: Using Failing Test Cases to Generate Test Cases in GCC Compilers.
CoRR, 2019

Smart Contract Development in Practice: Trends, Issues, and Discussions on Stack Overflow.
CoRR, 2019

Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models.
CoRR, 2019

Users Issues in using the Internet of Things Systems.
CoRR, 2019

An Automated Testing Framework for Conversational Agents.
CoRR, 2019

Topics of concern: identifying user issues in reviews of IoT apps and devices.
Proceedings of the 1st International Workshop on Software Engineering Research & Practices for the Internet of Things, 2019

2018
On the naturalness of proofs.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Reduce Before You Localize: Delta-Debugging and Spectrum-Based Fault Localization.
Proceedings of the 2018 IEEE International Symposium on Software Reliability Engineering Workshops, 2018

Prediction of relatedness in stack overflow: deep learning vs. SVM: a reproducibility study.
Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2018

Evaluation of Type Inference with Textual Cues.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Mutation Reduction Strategies Considered Harmful.
IEEE Trans. Reliab., 2017

Does choice of mutation tool matter?
Softw. Qual. J., 2017

On secure degrees of freedom for three-user MISO broadcast channel with three messages.
Proceedings of the Iran Workshop on Communication and Information Theory, 2017

2016
Cause reduction: delta debugging, even without bugs.
Softw. Test. Verification Reliab., 2016

Finding Model-Checkable Needles in Large Source Code Haystacks: Modular Bug-Finding via Static Analysis and Dynamic Invariant Discovery.
CoRR, 2016

Data Poisoning: Lightweight Soft Fault Injection for Python.
CoRR, 2016

Bounded Model Checking and Feature Omission Diversity.
CoRR, 2016

Mitigating (and exploiting) test reduction slippage.
Proceedings of the 7th International Workshop on Automating Test Case Design, 2016

Evaluating non-adequate test-case reduction.
Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

Generating focused random tests using directed swarm testing.
Proceedings of the 25th International Symposium on Software Testing and Analysis, 2016

Measuring Effectiveness of Mutant Sets.
Proceedings of the Ninth IEEE International Conference on Software Testing, 2016

On the limits of mutation reduction strategies.
Proceedings of the 38th International Conference on Software Engineering, 2016

2015
Guidelines for Coverage-Based Comparisons of Non-Adequate Test Suites.
ACM Trans. Softw. Eng. Methodol., 2015

How hard does mutation analysis have to be, anyway?
Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015

2014
Coverage and Its Discontents.
Proceedings of the Onward! 2014, 2014

Using test case reduction and prioritization to improve symbolic execution.
Proceedings of the International Symposium on Software Testing and Analysis, 2014

MuCheck: an extensible tool for mutation testing of haskell programs.
Proceedings of the International Symposium on Software Testing and Analysis, 2014

Cause Reduction for Quick Testing.
Proceedings of the Seventh IEEE International Conference on Software Testing, 2014

2013
Comparing non-adequate test suites using coverage criteria.
Proceedings of the International Symposium on Software Testing and Analysis, 2013

Help, help, i'm being suppressed! The significance of suppressors in software testing.
Proceedings of the IEEE 24th International Symposium on Software Reliability Engineering, 2013

2012
Extended program invariants: applications in testing and fault localization.
Proceedings of the International Workshop on Dynamic Analysis: held in conjunction with the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2012), 2012

Lightweight Automated Testing with Adaptation-Based Programming.
Proceedings of the 23rd IEEE International Symposium on Software Reliability Engineering, 2012

Learning-Based Test Programming for Programmers.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Technologies for Mastering Change, 2012

2005
Reactive Agent for Urban Traffic Control.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005


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