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ORCIDHadi Hemmati
Person information
- affiliation: York University, Toronto, ON, Canada
- affiliation (former): University of Calgary, AB, Canada
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2020 – today
- 2024
[j21]Ehsan Mashhadi, Shaiful Chowdhury, Somayeh Modaberi, Hadi Hemmati, Gias Uddin
:
An empirical study on bug severity estimation using source code metrics and static analysis. J. Syst. Softw. 217: 112179 (2024)- [j20]Armin Zirak, Hadi Hemmati:
Improving Automated Program Repair with Domain Adaptation. ACM Trans. Softw. Eng. Methodol. 33(3): 65:1-65:43 (2024) - [j19]Shaiful Alam Chowdhury, Gias Uddin, Hadi Hemmati, Reid Holmes:
Method-level Bug Prediction: Problems and Promises. ACM Trans. Softw. Eng. Methodol. 33(4): 98:1-98:31 (2024) - [j18]Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang:
Assessing Evaluation Metrics for Neural Test Oracle Generation. IEEE Trans. Software Eng. 50(9): 2337-2349 (2024) - [c46]Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming (Jack) Jiang:
Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation. BIAS 2024: 46-63 - [c45]Jiho Shin, Sepehr Hashtroudi, Hadi Hemmati, Song Wang:
Domain Adaptation for Code Model-Based Unit Test Case Generation. ISSTA 2024: 1211-1222 - [c44]Kailun Jin, Chung-Yu Wang, Hung Viet Pham, Hadi Hemmati:
Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation. MSR 2024: 167-171 - [c43]Kimya Khakzad Shahandashti, Alvine Boaye Belle, Mohammad Mahdi Mohajer, Oluwafemi Odu, Timothy C. Lethbridge, Hadi Hemmati, Song Wang:
Using GPT-4 Turbo to Automatically Identify Defeaters in Assurance Cases. RE Workshops 2024: 46-56 - [i33]Mithila Sivakumar, Alvine Boaye Belle, Kimya Khakzad Shahandashti, Oluwafemi Odu, Hadi Hemmati, Segla Kpodjedo, Song Wang, Opeyemi O. Adesina:
I came, I saw, I certified: some perspectives on the safety assurance of cyber-physical systems. CoRR abs/2401.16633 (2024) - [i32]Kailun Jin, Chung-Yu Wang, Hung Viet Pham, Hadi Hemmati:
Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation. CoRR abs/2402.11702 (2024) - [i31]Minaoar Hossain Tanzil, Shaiful Chowdhury, Somayeh Modaberi, Gias Uddin, Hadi Hemmati:
A Systematic Mapping Study of Crowd Knowledge Enhanced Software Engineering Research Using Stack Overflow. CoRR abs/2408.07913 (2024) - [i30]Hamed Taherkhani, Melika Sepindband, Hung Viet Pham, Song Wang, Hadi Hemmati:
EPiC: Cost-effective Search-based Prompt Engineering of LLMs for Code Generation. CoRR abs/2408.11198 (2024) - [i29]Kimya Khakzad Shahandashti, Mohammad Mahdi Mohajer, Alvine Boaye Belle, Song Wang, Hadi Hemmati:
Program Slicing in the Era of Large Language Models. CoRR abs/2409.12369 (2024) - [i28]Jiho Shin, Reem Aleithan, Hadi Hemmati, Song Wang:
Retrieval-Augmented Test Generation: How Far Are We? CoRR abs/2409.12682 (2024) - 2023
- [j17]Hossein Ahmadvand, Chhagan Lal, Hadi Hemmati, Mehdi Sookhak, Mauro Conti:
Privacy-Preserving and Security in SDN-Based IoT: A Survey. IEEE Access 11: 44772-44786 (2023) - [j16]Amin Eslami Abyane, Derui Zhu, Roberto Souza, Lei Ma, Hadi Hemmati:
Towards understanding quality challenges of the federated learning for neural networks: a first look from the lens of robustness. Empir. Softw. Eng. 28(2): 44 (2023) - [j15]Chakkrit Tantithamthavorn, Jürgen Cito, Hadi Hemmati, Satish Chandra:
Explainable AI for SE: Challenges and Future Directions. IEEE Softw. 40(3): 29-33 (2023) - [j14]Jürgen Cito, Satish Chandra, Chakkrit Tantithamthavorn, Hadi Hemmati:
Expert Perspectives on Explainability. IEEE Softw. 40(3): 84-88 (2023) - [c42]Foozhan Ataiefard, Hadi Hemmati:
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents*. ICMLA 2023: 675-682 - [c41]Ehsan Mashhadi, Hossein Ahmadvand, Hadi Hemmati:
Method-Level Bug Severity Prediction using Source Code Metrics and LLMs. ISSRE 2023: 635-646 - [c40]Nadun Wijesinghe, Hadi Hemmati:
Log-based Anomaly Detection of Enterprise Software: An Empirical Study. QRS 2023: 12-23 - [c39]Emad Jabbar, Hadi Hemmati, Robert Feldt:
Investigating Execution Trace Embedding for Test Case Prioritization. QRS 2023: 279-290 - [c38]Alvine Boaye Belle, Hadi Hemmati, Timothy C. Lethbridge:
Position Paper: A Vision for the Dynamic Safety Assurance of ML-Enabled Autonomous Driving Systems. REW 2023: 297-301 - [c37]Ahmad Haji Mohammadkhani, Chakkrit Tantithamthavorn, Hadi Hemmati:
Explaining Transformer-based Code Models: What Do They Learn? When They Do Not Work? SCAM 2023: 96-106 - [i27]Ahmad Haji Mohammadkhani, Nitin Sai Bommi, Mariem Daboussi, Onkar Sabnis, Chakkrit Tantithamthavorn, Hadi Hemmati:
A Systematic Literature Review of Explainable AI for Software Engineering. CoRR abs/2302.06065 (2023) - [i26]Sakina Fatima, Hadi Hemmati, Lionel C. Briand:
Black-Box Prediction of Flaky Test Fix Categories Using Language Models. CoRR abs/2307.00012 (2023) - [i25]Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming Jiang:
A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation. CoRR abs/2307.11298 (2023) - [i24]Sepehr Hashtroudi, Jiho Shin, Hadi Hemmati, Song Wang:
Automated Test Case Generation Using Code Models and Domain Adaptation. CoRR abs/2308.08033 (2023) - [i23]Ehsan Mashhadi, Hossein Ahmadvand, Hadi Hemmati:
Method-Level Bug Severity Prediction using Source Code Metrics and LLMs. CoRR abs/2309.03044 (2023) - [i22]Foozhan Ataiefard, Hadi Hemmati:
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents. CoRR abs/2309.14615 (2023) - [i21]Jiho Shin, Hadi Hemmati, Moshi Wei, Song Wang:
Assessing Evaluation Metrics for Neural Test Oracle Generation. CoRR abs/2310.07856 (2023) - [i20]Jiho Shin, Clark Tang, Tahmineh Mohati, Maleknaz Nayebi, Song Wang, Hadi Hemmati:
Prompt Engineering or Fine Tuning: An Empirical Assessment of Large Language Models in Automated Software Engineering Tasks. CoRR abs/2310.10508 (2023) - [i19]Nadun Wijesinghe, Hadi Hemmati:
Log-based Anomaly Detection of Enterprise Software: An Empirical Study. CoRR abs/2310.20492 (2023) - 2022
- [j13]Parisa Saat, Nikita Nogovitsyn, Muhammad Yusuf Hassan, Muhammad Athar Ganaie, Roberto Souza, Hadi Hemmati:
A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation. Frontiers Neuroinformatics 16 (2022) - [j12]Foozhan Ataiefard, Mohammad Jafar Mashhadi, Hadi Hemmati, Neil Walkinshaw:
Deep State Inference: Toward Behavioral Model Inference of Black-Box Software Systems. IEEE Trans. Software Eng. 48(12): 4857-4872 (2022) - [c36]Zheng Zheng, Hadi Hemmati:
Message from the Doctoral Symposium Chairs. ISSRE Workshops 2022: xvii - [i18]Amin Eslami Abyane, Derui Zhu, Roberto Medeiros de Souza, Lei Ma, Hadi Hemmati:
Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness. CoRR abs/2201.01409 (2022) - [i17]Ehsan Mashhadi, Shaiful Chowdhury, Somayeh Modaberi, Hadi Hemmati, Gias Uddin:
An Empirical Study on Bug Severity Estimation Using Source Code Metrics and Static Analysis. CoRR abs/2206.12927 (2022) - [i16]Emad Jabbar, Soheila Zangeneh, Hadi Hemmati, Robert Feldt:
Test2Vec: An Execution Trace Embedding for Test Case Prioritization. CoRR abs/2206.15428 (2022) - [i15]Mohammadamin Abedi, Yanni Iouannou, Pooyan Jamshidi, Hadi Hemmati:
Improving the Performance of DNN-based Software Services using Automated Layer Caching. CoRR abs/2209.08625 (2022) - [i14]Ahmad Haji Mohammadkhani, Chakkrit Tantithamthavorn, Hadi Hemmati:
Explainable AI for Pre-Trained Code Models: What Do They Learn? When They Do Not Work? CoRR abs/2211.12821 (2022) - [i13]Amin Eslami Abyane, Steve Drew, Hadi Hemmati:
MDA: Availability-Aware Federated Learning Client Selection. CoRR abs/2211.14391 (2022) - [i12]Armin Zirak, Hadi Hemmati:
Improving Automated Program Repair with Domain Adaptation. CoRR abs/2212.11414 (2022) - 2021
- [j11]Shayan Zamani, Hadi Hemmati:
A pragmatic approach for hyper-parameter tuning in search-based test case generation. Empir. Softw. Eng. 26(6): 126 (2021) - [j10]Nima Miryeganeh, Sepehr Hashtroudi, Hadi Hemmati:
GloBug: Using global data in Fault Localization. J. Syst. Softw. 177: 110961 (2021) - [c35]Maryam Vahdat Pour, Zhuo Li, Lei Ma, Hadi Hemmati:
A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding. ICST 2021: 36-46 - [c34]Ehsan Mashhadi, Hadi Hemmati:
Applying CodeBERT for Automated Program Repair of Java Simple Bugs. MSR 2021: 505-509 - [c33]Amin Eslami Abyane, Hadi Hemmati:
Robustness Analysis of Deep Learning Frameworks on Mobile Platforms. ICTSS 2021: 160-177 - [i11]Mohammad Jafar Mashhadi, Foozhan Ataiefard, Hadi Hemmati, Neil Walkinshaw:
Behavioral Model Inference of Black-box Software using Deep Neural Networks. CoRR abs/2101.04948 (2021) - [i10]Shayan Zamani, Hadi Hemmati:
A Pragmatic Approach for Hyper-Parameter Tuning in Search-based Test Case Generation. CoRR abs/2101.05738 (2021) - [i9]Nima Miryeganeh, Sepehr Hashtroudi, Hadi Hemmati:
GloBug: Using Global Data in Fault Localization. CoRR abs/2101.05862 (2021) - [i8]Maryam Vahdat Pour, Zhuo Li, Lei Ma, Hadi Hemmati:
A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding. CoRR abs/2101.07910 (2021) - [i7]Ehsan Mashhadi, Hadi Hemmati:
Applying CodeBERT for Automated Program Repair of Java Simple Bugs. CoRR abs/2103.11626 (2021) - [i6]Amin Eslami Abyane, Hadi Hemmati:
Robustness Analysis of Deep Learning Frameworks on Mobile Platforms. CoRR abs/2109.09869 (2021) - 2020
- [c32]Shayan Zamani, Hadi Hemmati:
A Cost-Effective Approach for Hyper-Parameter Tuning in Search-based Test Case Generation. ICSME 2020: 418-429 - [c31]Mohammad Jafar Mashhadi, Hadi Hemmati:
Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems. ASE 2020: 299-311 - [i5]Mohammad Jafar Mashhadi, Hadi Hemmati:
Hybrid Deep Neural Networks to Infer State Models of Black-Box Systems. CoRR abs/2008.11856 (2020)
2010 – 2019
- 2019
- [j9]Hadi Hemmati:
Chapter Four - Advances in Techniques for Test Prioritization. Adv. Comput. 112: 185-221 (2019) - [j8]Mohammad Jafar Mashhadi, Taha R. Siddiqui, Hadi Hemmati, Howard W. Loewen:
Interactive semi-automated specification mining for debugging: An experience report. Inf. Softw. Technol. 113: 20-38 (2019) - [c30]Mohammad Jafar Mashhadi, Hadi Hemmati:
An empirical study on practicality of specification mining algorithms on a real-world application. ICPC 2019: 65-69 - [c29]Nima Miryeganeh, Mehdi Amoui, Hadi Hemmati:
An IR-based approach towards automated integration of geo-spatial datasets in map-based software systems. ESEC/SIGSOFT FSE 2019: 946-954 - [c28]Shayan Zamani, Hadi Hemmati:
Revisiting Hyper-Parameter Tuning for Search-Based Test Data Generation. SSBSE 2019: 137-152 - [i4]Mohammad Jafar Mashhadi, Hadi Hemmati:
An Empirical Study on Practicality of Specification Mining Algorithms on a Real-world Application. CoRR abs/1903.11242 (2019) - [i3]Mohammad Jafar Mashhadi, Taha R. Siddiqui, Hadi Hemmati, Howard W. Loewen:
Interactive Semi-automated Specification Mining for Debugging: An Experience Report. CoRR abs/1905.02245 (2019) - [i2]Shayan Zamani, Hadi Hemmati:
Revisiting Hyper-Parameter Tuning for Search-based Test Data Generation. CoRR abs/1906.02349 (2019) - [i1]Nima Miryeganeh, Mehdi Amoui, Hadi Hemmati:
An IR-based Approach Towards Automated Integration of Geo-spatial Datasets in Map-based Software Systems. CoRR abs/1906.06331 (2019) - 2018
- [c27]Syed S. Arefin, Hadi Hemmati, Howard W. Loewen:
Evaluating specification-level MC/DC criterion in model-based testing of safety critical systems. ICSE (SEIP) 2018: 256-265 - [c26]Hadi Hemmati, Fatemeh Sharifi:
Investigating NLP-Based Approaches for Predicting Manual Test Case Failure. ICST 2018: 309-319 - [c25]Mohammad Moein Almasi, Hadi Hemmati, Gordon Fraser, Phil McMinn, Janis Benefelds:
Search-based detection of deviation failures in the migration of legacy spreadsheet applications. ISSTA 2018: 266-275 - 2017
- [j7]Hadi Hemmati, Zhihan Fang, Mika V. Mäntylä, Bram Adams:
Prioritizing manual test cases in rapid release environments. Softw. Test. Verification Reliab. 27(6) (2017) - [j6]Tse-Hsun Chen, Stephen W. Thomas, Hadi Hemmati, Meiyappan Nagappan, Ahmed E. Hassan:
An Empirical Study on the Effect of Testing on Code Quality Using Topic Models: A Case Study on Software Development Systems. IEEE Trans. Reliab. 66(3): 806-824 (2017) - [c24]Josiane Kroll, Shai Fridboim, Hadi Hemmati:
An Empirical Study of Search-Based Task Scheduling in Global Software Development. ICSE-SEIP 2017: 183-192 - [c23]Mohammad Moein Almasi, Hadi Hemmati, Gordon Fraser, Andrea Arcuri, Janis Benefelds:
An Industrial Evaluation of Unit Test Generation: Finding Real Faults in a Financial Application. ICSE-SEIP 2017: 263-272 - [c22]Tanzeem Bin Noor, Hadi Hemmati:
Studying Test Case Failure Prediction for Test Case Prioritization. PROMISE 2017: 2-11 - [c21]Hadi Hemmati, Syed S. Arefin, Taha R. Siddiqui:
Analytics-based safety monitoring and verification. SMC 2017: 3608-3613 - 2016
- [c20]Mohammad Moein Almasi, Taha R. Siddiqui, Noman Mohammed, Hadi Hemmati:
The Risk-Utility Tradeoff for Data Privacy Models. NTMS 2016: 1-5 - 2015
- [j5]Hadi Hemmati, Meiyappan Nagappan, Ahmed E. Hassan:
Investigating the effect of "defect co-fix" on quality assurance resource allocation: A search-based approach. J. Syst. Softw. 103: 412-422 (2015) - [c19]Hadi Hemmati, Zhihan Fang, Mika V. Mäntylä:
Prioritizing Manual Test Cases in Traditional and Rapid Release Environments. ICST 2015: 1-10 - [c18]Debajyoti Mondal, Hadi Hemmati, Stephane Durocher:
Exploring Test Suite Diversification and Code Coverage in Multi-Objective Test Case Selection. ICST 2015: 1-10 - [c17]Tanzeem Bin Noor, Hadi Hemmati:
A similarity-based approach for test case prioritization using historical failure data. ISSRE 2015: 58-68 - [c16]Hadi Hemmati:
How Effective Are Code Coverage Criteria? QRS 2015: 151-156 - [c15]Tanzeem Bin Noor, Hadi Hemmati:
Test case analytics: Mining test case traces to improve risk-driven testing. SWAN@SANER 2015: 13-16 - 2014
- [j4]Stephen W. Thomas, Hadi Hemmati, Ahmed E. Hassan, Dorothea Blostein:
Static test case prioritization using topic models. Empir. Softw. Eng. 19(1): 182-212 (2014) - [c14]Shaukat Ali, Hadi Hemmati:
Model-Based Testing of Video Conferencing Systems: Challenges, Lessons Learnt, and Results. ICST 2014: 353-362 - [c13]Barrett Ens, Daniel J. Rea, Roiy Shpaner, Hadi Hemmati, James Everett Young, Pourang Irani:
ChronoTwigger: A Visual Analytics Tool for Understanding Source and Test Co-evolution. VISSOFT 2014: 117-126 - 2013
- [j3]Hadi Hemmati, Andrea Arcuri, Lionel C. Briand:
Achieving scalable model-based testing through test case diversity. ACM Trans. Softw. Eng. Methodol. 22(1): 6:1-6:42 (2013) - [c12]Ian J. Davis, Hadi Hemmati, Richard C. Holt, Michael W. Godfrey, Douglas Neuse, Serge Mankovskii:
Regression-based utilization prediction algorithms: an empirical investigation. CASCON 2013: 106-120 - [c11]Ian J. Davis, Hadi Hemmati, Richard C. Holt, Michael W. Godfrey, Douglas Neuse, Serge Mankovskii:
Storm prediction in a cloud. PESOS@ICSE 2013: 37-40 - [c10]Weiyi Shang, Zhen Ming Jiang, Hadi Hemmati, Bram Adams, Ahmed E. Hassan, Patrick Martin:
Assisting developers of big data analytics applications when deploying on hadoop clouds. ICSE 2013: 402-411 - [c9]Haroon Malik, Hadi Hemmati, Ahmed E. Hassan:
Automatic detection of performance deviations in the load testing of large scale systems. ICSE 2013: 1012-1021 - [c8]Hadi Hemmati, Sarah Nadi, Olga Baysal, Oleksii Kononenko, Wei Wang, Reid Holmes, Michael W. Godfrey:
The MSR cookbook: mining a decade of research. MSR 2013: 343-352 - [c7]Laura Inozemtseva, Hadi Hemmati, Reid Holmes:
Using fault history to improve mutation reduction. ESEC/SIGSOFT FSE 2013: 639-642 - 2012
- [j2]Shaukat Ali, Lionel C. Briand, Hadi Hemmati:
Modeling robustness behavior using aspect-oriented modeling to support robustness testing of industrial systems. Softw. Syst. Model. 11(4): 633-670 (2012) - 2011
- [c6]Hadi Hemmati, Andrea Arcuri, Lionel C. Briand:
Empirical Investigation of the Effects of Test Suite Properties on Similarity-Based Test Case Selection. ICST 2011: 327-336 - 2010
- [j1]Shaukat Ali, Lionel C. Briand, Hadi Hemmati, Rajwinder Kaur Panesar-Walawege:
A Systematic Review of the Application and Empirical Investigation of Search-Based Test Case Generation. IEEE Trans. Software Eng. 36(6): 742-762 (2010) - [c5]Hadi Hemmati, Lionel C. Briand:
An Industrial Investigation of Similarity Measures for Model-Based Test Case Selection. ISSRE 2010: 141-150 - [c4]Hadi Hemmati, Andrea Arcuri, Lionel C. Briand:
Reducing the Cost of Model-Based Testing through Test Case Diversity. ICTSS 2010: 63-78 - [c3]Hadi Hemmati, Lionel C. Briand, Andrea Arcuri, Shaukat Ali:
An enhanced test case selection approach for model-based testing: an industrial case study. SIGSOFT FSE 2010: 267-276
2000 – 2009
- 2008
- [c2]Hadi Hemmati, Rasool Jalili:
Self-reconfiguration in Highly Available Pervasive Computing Systems. ATC 2008: 289-301 - 2006
- [c1]Sarah Javanmardi, Hadi Hemmati, Rasool Jalili:
An Access Control Framework for Pervasive Computing Environments. PSC 2006: 97-103
Coauthor Index
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