Amin Nikanjam

According to our database, Amin Nikanjam authored at least 56 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Quality issues in machine learning software systems.

Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Ilan Basta, Mouna Abidi, Foutse Khomh

Empir. Softw. Eng., November, 2024

Data cleaning and machine learning: a systematic literature review.

Pierre-Olivier Côté, Amin Nikanjam, Nafisa Ahmed, Dmytro Humeniuk, Foutse Khomh

Autom. Softw. Eng., November, 2024

Common challenges of deep reinforcement learning applications development: an empirical study.

Mohammad Mehdi Morovati, Florian Tambon, Mina Taraghi, Amin Nikanjam, Foutse Khomh

Empir. Softw. Eng., July, 2024

Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow.

Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol

Empir. Softw. Eng., February, 2024

Bug characterization in machine learning-based systems.

Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming (Jack) Jiang

Empir. Softw. Eng., February, 2024

Effective test generation using pre-trained Large Language Models and mutation testing.

Arghavan Moradi Dakhel, Amin Nikanjam, Vahid Majdinasab, Foutse Khomh, Michel C. Desmarais

Inf. Softw. Technol., 2024

Toward Debugging Deep Reinforcement Learning Programs with RLExplorer.

Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil, Janarthanan Rajendran, Amin Nikanjam, Sarath Chandar, Foutse Khomh

CoRR, 2024

Assessing Programming Task Difficulty for Efficient Evaluation of Large Language Models.

Florian Tambon, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol

CoRR, 2024

DeepCodeProbe: Towards Understanding What Models Trained on Code Learn.

Vahid Majdinasab, Amin Nikanjam, Foutse Khomh

CoRR, 2024

Introducing v0.5 of the AI Safety Benchmark from MLCommons.

Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren

CoRR, 2024

Bugs in Large Language Models Generated Code: An Empirical Study.

Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Giuliano Antoniol

CoRR, 2024

Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code.

Vahid Majdinasab, Amin Nikanjam, Foutse Khomh

CoRR, 2024

2023

A comparison of reinforcement learning frameworks for software testing tasks.

Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh

Empir. Softw. Eng., October, 2023

GitHub Copilot AI pair programmer: Asset or Liability?

Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming (Jack) Jiang

J. Syst. Softw., September, 2023

Bugs in machine learning-based systems: a faultload benchmark.

Mohammad Mehdi Morovati, Amin Nikanjam, Foutse Khomh, Zhen Ming (Jack) Jiang

Empir. Softw. Eng., June, 2023

A stochastic variance-reduced coordinate descent algorithm for learning sparse Bayesian network from discrete high-dimensional data.

Nazanin Shajoonnezhad, Amin Nikanjam

Int. J. Mach. Learn. Cybern., March, 2023

Harnessing Pre-trained Generalist Agents for Software Engineering Tasks.

Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh

CoRR, 2023

Detecting Concept Drift for the reliability prediction of Software Defects using Instance Interpretation.

Zeynab Chitsazian, Saeed Sedighian Kashi, Amin Nikanjam

CoRR, 2023

Mutation Testing of Deep Reinforcement Learning Based on Real Faults.

Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023

Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges.

Ahmed Haj Yahmed, Altaf Allah Abbassi, Amin Nikanjam, Heng Li, Foutse Khomh

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

2022

Automatic Fault Detection for Deep Learning Programs Using Graph Transformations.

Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati, Foutse Khomh

ACM Trans. Softw. Eng. Methodol., 2022

Improved reinforcement learning in cooperative multi-agent environments using knowledge transfer.

Mahnoosh Mahdavimoghadam, Amin Nikanjam, Monireh Abdoos

J. Supercomput., 2022

Quality issues in Machine Learning Software Systems.

Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Foutse Khomh

CoRR, 2022

Novel Metric based on Walsh Coefficients for measuring problem difficulty in Estimation of Distribution Algorithms.

Saeed Ghadiri, Amin Nikanjam

CoRR, 2022

How to certify machine learning based safety-critical systems? A systematic literature review.

Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette

Autom. Softw. Eng., 2022

Faults in deep reinforcement learning programs: a taxonomy and a detection approach.

Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek

Autom. Softw. Eng., 2022

Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions.

Saumendu Roy, Gabriel Laberge, Banani Roy, Foutse Khomh, Amin Nikanjam, Saikat Mondal

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

An Empirical Study of Challenges in Converting Deep Learning Models.

Moses Openja, Amin Nikanjam, Ahmed Haj Yahmed, Foutse Khomh, Zhen Ming Jack Jiang

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

2021

Stability analysis of the particle dynamics in bat algorithm: standard and modified versions.

Mahsa Fozuni Shirjini, Amin Nikanjam, Mahdi Aliyari Shoorehdeli

Eng. Comput., 2021

A Sparse Structure Learning Algorithm for Bayesian Network Identification from Discrete High-Dimensional Data.

Nazanin Shajoonnezhad, Amin Nikanjam

CoRR, 2021

Multi-agent Reinforcement Learning Improvement in a Dynamic Environment Using Knowledge Transfer.

Mahnoosh Mahdavimoghaddam, Amin Nikanjam, Monireh Abdoos

CoRR, 2021

The Challenge of Reproducible ML: An Empirical Study on The Impact of Bugs.

Emilio Rivera-Landos, Foutse Khomh, Amin Nikanjam

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods.

Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh, John Mullins

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Design Smells in Deep Learning Programs: An Empirical Study.

Amin Nikanjam, Foutse Khomh

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

2020

Cyrus 2D Simulation Team Description Paper2018.

Nader Zare, Mohsen Sadeghipour, Ashkan Keshavarzi, Mahtab Sarvmaili, Amin Nikanjam, Reza Aghayari, Arad Firouzkoohi, Mohammad Abolnejad, Sina Elahimanesh, Amin Akhgari

CoRR, 2020

MDPCluster: a swarm-based community detection algorithm in large-scale graphs.

Mahsa Fozuni Shirjini, Saeed Farzi, Amin Nikanjam

Computing, 2020

2019

Using evolutionary algorithms for reachability analysis of complex software systems specified through graph transformation.

Einollah Pira, Vahid Rafe, Amin Nikanjam

Reliab. Eng. Syst. Saf., 2019

2018

Searching for violation of safety and liveness properties using knowledge discovery in complex systems specified through graph transformations.

Einollah Pira, Vahid Rafe, Amin Nikanjam

Inf. Softw. Technol., 2018

2017

Deployment of Wireless Intrusion Detection Systems to Provide the Most Possible Coverage in Wireless Sensor Networks Without Infrastructures.

Ali Keramatpour, Amin Nikanjam, Hossein Ghaffarian

Wirel. Pers. Commun., 2017

Deadlock detection in complex software systems specified through graph transformation using Bayesian optimization algorithm.

Einollah Pira, Vahid Rafe, Amin Nikanjam

J. Syst. Softw., 2017

Overlapping community detection in social networks using a quantum-based genetic algorithm.

Alireza Saleh Sedghpour, Amin Nikanjam

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

EMCDM: Efficient model checking by data mining for verification of complex software systems specified through architectural styles.

Einollah Pira, Vahid Rafe, Amin Nikanjam

Appl. Soft Comput., 2016

Multi-structure problems: Difficult model learning in discrete EDAs.

Amin Nikanjam, Hossein Karshenas

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

A hybrid optimization algorithm based on harmony search and differential evolution for continuous domain.

Vahid Rafe, Zahra Paiandeh, Amin Nikanjam

J. Intell. Fuzzy Syst., 2015

A meta-heuristic solution for automated refutation of complex software systems specified through graph transformations.

Vahid Rafe, Maryam Moradi, Rosa Yousefian, Amin Nikanjam

Appl. Soft Comput., 2015

2014

Complexity of model learning in EDAs: multi-structure problems.

Hadi Sharifi, Amin Nikanjam, Hossein Karshenas, Negar Najimi

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2012

Exploiting Bivariate Dependencies to Speedup Structure Learning in Bayesian Optimization Algorithm.

Amin Nikanjam, Adel Rahmani

J. Comput. Sci. Technol., 2012

2011

Galoan: a multi-agent approach to herd cows.

Vahid Rafe, Amin Nikanjam, Mohammad Rezaei

Ann. Math. Artif. Intell., 2011

Efficient model building in competent genetic algorithms using DSM clustering.

Amin Nikanjam, Hadi Sharifi, Adel Torkaman Rahmani

AI Commun., 2011

Interaction detection for hybrid decomposable problems.

Hadi Sharifi, Amin Nikanjam, Adel Torkaman Rahmani

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

A new DSM clustering algorithm for linkage groups identification.

Amin Nikanjam, Hadi Sharifi, B. Hoda Helmi, Adel Torkaman Rahmani

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Enhancing the efficiency of genetic algorithm by identifying linkage groups using DSM clustering.

Amin Nikanjam, Hadi Sharifi, B. Hoda Helmi, Adel Rahmani

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Combinatorial effects of local structures and scoring metrics in bayesian optimization algorithm.

Hossein Karshenas, Amin Nikanjam, B. Hoda Helmi, Adel Torkaman Rahmani

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

2008

SHABaN Multi-agent Team To Herd Cows.

Adel Torkaman Rahmani, Alireza Saberi, Mehdi Mohammadi, Amin Nikanjam, Ehsan Adeli-Mosabbeb, Monireh Abdoos

Proceedings of the Programming Multi-Agent Systems, 2008

An Evolutionary Approach to Clustering Ensemble.

Mehdi Mohammadi, Amin Nikanjam, Adel Rahmani

Proceedings of the Fourth International Conference on Natural Computation, 2008

2006

An anticipatory approach to improve XCSF.

Amin Nikanjam, Adel Torkaman Rahmani

Proceedings of the Genetic and Evolutionary Computation Conference, 2006