Mohammad Amin Alipour

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 59

Top Topics

Fault Injection

Top Venues

ESEC/SIGSOFT FSE

Inf. Softw. Technol.

Publications

Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
Measuring Impacts of Poisoning on Model Parameters and Embeddings for Large Language Models of Code. CoRR (2024)
Rabimba Karanjai, Aftab Hussain, Md. Rafiqul Islam Rabin, Lei Xu, Weidong Shi, Mohammad Amin Alipour
Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing. CoRR (2024)
Sruti Srinivasa Ragavan, Mohammad Amin Alipour
Revisiting Human Information Foraging: Adaptations for LLM-based Chatbots. CoRR (2024)
Aftab Hussain, Md. Rafiqul Islam Rabin, Navid Ayoobi, Mohammad Amin Alipour
Measuring Impacts of Poisoning on Model Parameters and Neuron Activations: A Case Study of Poisoning CodeBERT. CoRR (2024)
Matin Amoozadeh, Daye Nam, Daniel Prol, Ali Alfageeh, James Prather, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour
Student-AI Interaction: A Case Study of CS1 students. CoRR (2024)
Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Bowen Xu, Premkumar T. Devanbu, Mohammad Amin Alipour
Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy. CoRR (2024)
Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
Measuring Impacts of Poisoning on Model Parameters and Embeddings for Large Language Models of Code. AIware (2024)
Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
On Trojan Signatures in Large Language Models of Code. CoRR (2024)
Matin Amoozadeh, David Daniels, Daye Nam, Aayush Kumar, Stella Chen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour
Trust in Generative AI among Students: An exploratory study. SIGCSE (1) (2024)
Aftab Hussain, Md. Rafiqul Islam Rabin, Bowen Xu, David Lo, Mohammad Amin Alipour
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code. CoRR (2023)
Md. Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour, Vincent J. Hellendoorn
Memorization and generalization in neural code intelligence models. Inf. Softw. Technol. 153 (2023)
Md. Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja, Mohammad Amin Alipour
Study of Distractors in Neural Models of Code. InteNSE@ICSE (2023)
Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Bowen Xu, Prem Devanbu, Mohammad Amin Alipour
A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques. CoRR (2023)
Aftab Hussain, Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
TrojanedCM: A Repository for Poisoned Neural Models of Source Code. CoRR (2023)
Md. Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja, Mohammad Amin Alipour
Study of Distractors in Neural Models of Code. CoRR (2023)
Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Mohammad Amin Alipour, Bowen Xu
Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code. CoRR (2023)
Aftab Hussain, Md. Rafiqul Islam Rabin, Bowen Xu, David Lo, Mohammad Amin Alipour
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code. InteNSE@ICSE (2023)
Matin Amoozadeh, David Daniels, Daye Nam, Stella Chen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour
Trust in Generative AI among students: An Exploratory Study. CoRR (2023)
Md. Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour
Syntax-guided program reduction for understanding neural code intelligence models. MAPS@PLDI (2022)
Aftab Hussain, Mohammad Amin Alipour
Removing Uninteresting Bytes in Software Fuzzing. ICST Workshops (2022)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
FeatureExtractor: A tool for extracting key input features of code intelligence models. Softw. Impacts 14 (2022)
Matin Amoozadeh, David Daniels, Stella Chen, Daye Nam, Aayush Kumar, Michael Hilton, Mohammad Amin Alipour, Sruti Srinivasa Ragavan
Towards Characterizing Trust in Generative Artificial Intelligence among Students. ICER (2) (2022)
Md. Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour
Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models. CoRR (2022)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code. ICMLA (2022)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
ProgramTransformer: A tool for generating semantically equivalent transformed programs. Softw. Impacts 14 (2022)
Md. Rafiqul Islam Rabin, Nghi D. Q. Bui, Ke Wang, Yijun Yu, Lingxiao Jiang, Mohammad Amin Alipour
On the generalizability of Neural Program Models with respect to semantic-preserving program transformations. Inf. Softw. Technol. 135 (2021)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
Configuring test generators using bug reports: a case study of GCC compiler and Csmith. SAC (2021)
Giulia Toti, Mohammad Amin Alipour
Computer Science Students' Perceptions of Emergency Remote Teaching: An Experience Report. SN Comput. Sci. 2 (5) (2021)
Md. Rafiqul Islam Rabin, Vincent J. Hellendoorn, Mohammad Amin Alipour
Understanding Neural Code Intelligence Through Program Simplification. CoRR (2021)
Md. Rafiqul Islam Rabin, Vincent J. Hellendoorn, Mohammad Amin Alipour
Understanding neural code intelligence through program simplification. ESEC/SIGSOFT FSE (2021)
Md. Rafiqul Islam Rabin, Aftab Hussain, Vincent J. Hellendoorn, Mohammad Amin Alipour
Memorization and Generalization in Neural Code Intelligence Models. CoRR (2021)
Aftab Hussain, Mohammad Amin Alipour
FMViz: Visualizing Tests Generated by AFL at the Byte-level. CoRR (2021)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
Encoding Program as Image: Evaluating Visual Representation of Source Code. CoRR (2021)
Aftab Hussain, Mohammad Amin Alipour
DIAR: Removing Uninteresting Bytes from Seeds in Software Fuzzing. CoRR (2021)
Md. Rafiqul Islam Rabin, Arjun Mukherjee, Omprakash Gnawali, Mohammad Amin Alipour
Towards Demystifying Dimensions of Source Code Embeddings. CoRR (2020)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations. CoRR (2020)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
Configuring Test Generators using Bug Reports: A Case Study of GCC Compiler and Csmith. CoRR (2020)
Martin Velez, Michael Yen, Mathew Le, Zhendong Su, Mohammad Amin Alipour
Student Adoption and Perceptions of a Web Integrated Development Environment: An Experience Report. SIGCSE (2020)
Md. Rafiqul Islam Rabin, Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang, Mohammad Amin Alipour
On the Generalizability of Neural Program Analyzers with respect to Semantic-Preserving Program Transformations. CoRR (2020)
Soodeh Atefi, Mohammad Amin Alipour
An Automated Testing Framework for Conversational Agents. CoRR (2019)
Andrew Truelove, Farah Naz Chowdhury, Omprakash Gnawali, Mohammad Amin Alipour
Users Issues in using the Internet of Things Systems. CoRR (2019)
Md. Rafiqul Islam Rabin, Ke Wang, Mohammad Amin Alipour
Testing Neural Programs. CoRR (2019)
Andrew Truelove, Farah Naz Chowdhury, Omprakash Gnawali, Mohammad Amin Alipour
Topics of concern: identifying user issues in reviews of IoT apps and devices. SERP4IoT@ICSE (2019)
Md. Rafiqul Islam Rabin, Mohammad Amin Alipour
K-CONFIG: Using Failing Test Cases to Generate Test Cases in GCC Compilers. CoRR (2019)
Arpit Christi, Matthew Lyle Olson, Mohammad Amin Alipour, Alex Groce
Reduce Before You Localize: Delta-Debugging and Spectrum-Based Fault Localization. ISSRE Workshops (2018)
Bowen Xu, Amirreza Shirani, David Lo, Mohammad Amin Alipour
Prediction of relatedness in stack overflow: deep learning vs. SVM: a reproducibility study. ESEM (2018)
Amirreza Shirani, Adrián Pastor López-Monroy, Fabio A. González, Thamar Solorio, Mohammad Amin Alipour
Evaluation of Type Inference with Textual Cues. AAAI Workshops (2018)
Vincent J. Hellendoorn, Premkumar T. Devanbu, Mohammad Amin Alipour
On the naturalness of proofs. ESEC/SIGSOFT FSE (2018)
Mohammad Amin Alipour, Sadaf Salehkalaibar
On secure degrees of freedom for three-user MISO broadcast channel with three messages. IWCIT (2017)
Rahul Gopinath, Iftekhar Ahmed, Mohammad Amin Alipour, Carlos Jensen, Alex Groce
Does choice of mutation tool matter? Softw. Qual. J. 25 (3) (2017)
Rahul Gopinath, Iftekhar Ahmed, Mohammad Amin Alipour, Carlos Jensen, Alex Groce
Mutation Reduction Strategies Considered Harmful. IEEE Trans. Reliab. 66 (3) (2017)
Mohammad Amin Alipour, Alex Groce
Data Poisoning: Lightweight Soft Fault Injection for Python. CoRR (2016)
Mohammad Amin Alipour, Alex Groce, Chaoqiang Zhang, Anahita Sanadaji, Gokul Caushik
Finding Model-Checkable Needles in Large Source Code Haystacks: Modular Bug-Finding via Static Analysis and Dynamic Invariant Discovery. CoRR (2016)
Alex Groce, Mohammad Amin Alipour, Chaoqiang Zhang, Yang Chen, John Regehr
Cause reduction: delta debugging, even without bugs. Softw. Test. Verification Reliab. 26 (1) (2016)
Rahul Gopinath, Mohammad Amin Alipour, Iftekhar Ahmed, Carlos Jensen, Alex Groce
On the limits of mutation reduction strategies. ICSE (2016)
Josie Holmes, Alex Groce, Mohammad Amin Alipour
Mitigating (and exploiting) test reduction slippage. A-TEST@SIGSOFT FSE (2016)
Mohammad Amin Alipour, Alex Groce
Bounded Model Checking and Feature Omission Diversity. CoRR (2016)
Mohammad Amin Alipour, August Shi, Rahul Gopinath, Darko Marinov, Alex Groce
Evaluating non-adequate test-case reduction. ASE (2016)
Mohammad Amin Alipour, Alex Groce, Rahul Gopinath, Arpit Christi
Generating focused random tests using directed swarm testing. ISSTA (2016)
Milos Gligoric, Alex Groce, Chaoqiang Zhang, Rohan Sharma, Mohammad Amin Alipour, Darko Marinov
Guidelines for Coverage-Based Comparisons of Non-Adequate Test Suites. ACM Trans. Softw. Eng. Methodol. 24 (4) (2015)
Alex Groce, Mohammad Amin Alipour, Chaoqiang Zhang, Yang Chen, John Regehr
Cause Reduction for Quick Testing. ICST (2014)
Duc Le, Mohammad Amin Alipour, Rahul Gopinath, Alex Groce
MuCheck: an extensible tool for mutation testing of haskell programs. ISSTA (2014)
Alex Groce, Mohammad Amin Alipour, Rahul Gopinath
Coverage and Its Discontents. Onward! (2014)
Chaoqiang Zhang, Alex Groce, Mohammad Amin Alipour
Using test case reduction and prioritization to improve symbolic execution. ISSTA (2014)
Alex Groce, Chaoqiang Zhang, Mohammad Amin Alipour, Eric Eide, Yang Chen, John Regehr
Help, help, i'm being suppressed! The significance of suppressors in software testing. ISSRE (2013)
Milos Gligoric, Alex Groce, Chaoqiang Zhang, Rohan Sharma, Mohammad Amin Alipour, Darko Marinov
Comparing non-adequate test suites using coverage criteria. ISSTA (2013)
Alex Groce, Alan Fern, Jervis Pinto, Tim Bauer, Mohammad Amin Alipour, Martin Erwig, Camden Lopez
Lightweight Automated Testing with Adaptation-Based Programming. ISSRE (2012)
Alex Groce, Alan Fern, Martin Erwig, Jervis Pinto, Tim Bauer, Mohammad Amin Alipour
Learning-Based Test Programming for Programmers. ISoLA (1) (2012)
Mohammad Amin Alipour, Alex Groce
Extended program invariants: applications in testing and fault localization. WODA (2012)
Mohammad Amin Alipour
Reactive Agent for Urban Traffic Control. FLAIRS Conference (2005)