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ORCIDGias Uddin 0001
Mohammad Gias Uddin 0001
Person information
- affiliation: York University, Toronto, ON, Canada
- affiliation (former): University of Calgary, Canada
- affiliation (PhD 2018): McGill University, School of Computer Science, Montreal, Canada
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2020 – today
- 2024
[j20]Md. Abdullah Al Alamin, Gias Uddin
:
How far are we with automated machine learning? characterization and challenges of AutoML toolkits. Empir. Softw. Eng. 29(4): 91 (2024)- [j19]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) - [j18]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) - [c32]Minaoar Hossain Tanzil, Junaed Younus Khan, Gias Uddin:
ChatGPT Incorrectness Detection in Software Reviews. ICSE 2024: 180:1-180:12 - [c31]Minaoar Hossain Tanzil, Gias Uddin, Ann Barcomb:
"How do people decide?": A Model for Software Library Selection. CHASE@ICSE 2024: 1-12 - [i41]Sayma Sultana, Gias Uddin, Amiangshu Bosu:
Assessing the Influence of Toxic and Gender Discriminatory Communication on Perceptible Diversity in OSS Projects. CoRR abs/2403.08113 (2024) - [i40]Minaoar Hossain Tanzil, Gias Uddin, Ann Barcomb:
"How do people decide?": A Model for Software Library Selection. CoRR abs/2403.16245 (2024) - [i39]Minaoar Hossain Tanzil, Junaed Younus Khan, Gias Uddin:
ChatGPT Incorrectness Detection in Software Reviews. CoRR abs/2403.16347 (2024) - [i38]Minaoar Hossain Tanzil, Masud Sarker, Gias Uddin, Anindya Iqbal:
A Mixed Method Study of DevOps Challenges. CoRR abs/2403.16436 (2024) - [i37]Sifat Ishmam Parisa, Md Awsaf Alam Anindya, Anindya Iqbal, Gias Uddin:
A Large-Scale Empirical Study of COVID-19 Contact Tracing Mobile App Reviews. CoRR abs/2404.18125 (2024) - [i36]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) - [i35]Nima Shiri Harzevili, Mohammad Mahdi Mohajer, Jiho Shin, Moshi Wei, Gias Uddin, Jinqiu Yang, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan:
Checker Bug Detection and Repair in Deep Learning Libraries. CoRR abs/2410.06440 (2024) - [i34]Reem Aleithan, Haoran Xue, Mohammad Mahdi Mohajer, Elijah Nnorom, Gias Uddin, Song Wang:
SWE-Bench+: Enhanced Coding Benchmark for LLMs. CoRR abs/2410.06992 (2024) - [i33]Zahin Wahab, Sadif Ahmed, Md Nafiu Rahman, Rifat Shahriyar, Gias Uddin:
Secret Breach Prevention in Software Issue Reports. CoRR abs/2410.23657 (2024) - [i32]Salma Begum Tamanna, Gias Uddin, Song Wang, Lan Xia, Longyu Zhang:
ChatGPT Inaccuracy Mitigation during Technical Report Understanding: Are We There Yet? CoRR abs/2411.07360 (2024) - 2023
- [j17]Md. Abdullah Al Alamin, Gias Uddin, Sanjay Malakar, Sadia Afroz, Tameem Bin Haider, Anindya Iqbal:
Developer discussion topics on the adoption and barriers of low code software development platforms. Empir. Softw. Eng. 28(1): 4 (2023) - [j16]Saikat Mondal, Gias Uddin, Chanchal K. Roy:
Automatic prediction of rejected edits in Stack Overflow. Empir. Softw. Eng. 28(1): 9 (2023) - [j15]Minaoar Hossain Tanzil, Masud Sarker, Gias Uddin, Anindya Iqbal:
A mixed method study of DevOps challenges. Inf. Softw. Technol. 161: 107244 (2023) - [c30]alma Begum Tamannam, Gias Uddin, Lan Xia, Longyu Zhang:
Characterizing Issue Management in Runtime Systems. CASCON 2023: 54-63 - [c29]G. M. Shahariar, Tahmid Hasan, Anindya Iqbal, Gias Uddin:
Contrastive Learning for API Aspect Analysis. ASE 2023: 637-648 - [c28]Junaed Younus Khan, Gias Uddin:
Combining Contexts from Multiple Sources for Documentation-Specific Code Example Generation. SANER 2023: 683-687 - [i31]Gias Uddin, Md. Abdullah Al Alamin, Ajoy Das:
An Empirical Study of Deep Learning Sentiment Detection Tools for Software Engineering in Cross-Platform Settings. CoRR abs/2301.06661 (2023) - [i30]Junaed Younus Khan, Gias Uddin:
Combining Contexts from Multiple Sources for Documentation-Specific Code Example Generation. CoRR abs/2303.14542 (2023) - [i29]G. M. Shahariar, Tahmid Hasan, Anindya Iqbal, Gias Uddin:
Contrastive Learning for API Aspect Analysis. CoRR abs/2307.16878 (2023) - [i28]Madhu Selvaraj, Gias Uddin:
A Large-Scale Study of IoT Security Weaknesses and Vulnerabilities in the Wild. CoRR abs/2308.13141 (2023) - [i27]Salma Begum Tamanna, Gias Uddin, Lan Xia, Longyu Zhang:
Characterizing Issue Management in Runtime Systems. CoRR abs/2310.15971 (2023) - 2022
- [j14]Gias Uddin, Omar Alam, Alexander Serebrenik:
A qualitative study of developers' discussions of their problems and joys during the early COVID-19 months. Empir. Softw. Eng. 27(5): 117 (2022) - [j13]Md. Khairul Islam, Toufique Ahmed, Rifat Shahriyar, Anindya Iqbal, Gias Uddin:
Early prediction for merged vs abandoned code changes in modern code reviews. Inf. Softw. Technol. 142: 106756 (2022) - [j12]Nibir Chandra Mandal, Gias Uddin:
An empirical study of IoT security aspects at sentence-level in developer textual discussions. Inf. Softw. Technol. 150: 106970 (2022) - [j11]Gias Uddin, Yann-Gaël Guéhéneuc, Foutse Khomh, Chanchal K. Roy:
An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets. ACM Trans. Softw. Eng. Methodol. 31(3): 48:1-48:38 (2022) - [j10]Morteza Verdi, Ashkan Sami, Jafar Akhondali, Foutse Khomh, Gias Uddin, Alireza Karami Motlagh:
An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples. IEEE Trans. Software Eng. 48(5): 1497-1514 (2022) - [c27]Paramita Basak Upama, Md. Jobair Hossain Faruk, Mohammad Nazim, Mohammad Masum, Hossain Shahriar, Gias Uddin, Shabir Barzanjeh, Sheikh Iqbal Ahamed, Akond Rahman:
Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools. COMPSAC 2022: 520-529 - [c26]Mohammad Masum, Mohammad Nazim, Md. Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, Md Abdullah Hafiz Khan, Gias Uddin, Shabir Barzanjeh, Erhan Saglamyurek, Akond Rahman, Sheikh Iqbal Ahamed:
Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go? COMPSAC 2022: 530-538 - [c25]Ajoy Das, Gias Uddin, Guenther Ruhe:
An Empirical Study of Blockchain Repositories in GitHub. EASE 2022: 211-220 - [c24]Madhu Selvaraj, Gias Uddin:
Does Collaborative Editing Help Mitigate Security Vulnerabilities in Crowd-Shared IoT Code Examples? ESEM 2022: 92-102 - [c23]Junaed Younus Khan, Gias Uddin:
Automatic Code Documentation Generation Using GPT-3. ASE 2022: 174:1-174:6 - [c22]Shaiful Alam Chowdhury, Gias Uddin, Reid Holmes:
An Empirical Study on Maintainable Method Size in Java. MSR 2022: 252-264 - [c21]Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, DongGyun Han, Zhou Yang, David Lo:
Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? SANER 2022: 385-395 - [c20]Junaed Younus Khan, Gias Uddin:
Automatic Detection and Analysis of Technical Debts in Peer-Review Documentation of R Packages. SANER 2022: 765-776 - [i26]Junaed Younus Khan, Gias Uddin:
Automatic Detection and Analysis of Technical Debts in Peer-Review Documentation of R Packages. CoRR abs/2201.04241 (2022) - [i25]Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, DongGyun Han, Zhou Yang, David Lo:
Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go? CoRR abs/2201.11327 (2022) - [i24]Protik Bose Pranto, Syed Zami-Ul-Haque Navid, Protik Dey, Gias Uddin, Anindya Iqbal:
Are You Misinformed? A Study of Covid-Related Fake News in Bengali on Facebook. CoRR abs/2203.11669 (2022) - [i23]Paramita Basak Upama, Md. Jobair Hossain Faruk, Mohammad Nazim, Mohammad Masum, Hossain Shahriar, Gias Uddin, Shabir Barzanjeh, Sheikh Iqbal Ahamed, Akond Rahman:
Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools. CoRR abs/2204.01856 (2022) - [i22]Mohammad Masum, Mohammad Nazim, Md. Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, Md Abdullah Hafiz Khan, Gias Uddin, Shabir Barzanjeh, Erhan Saglamyurek, Akond Rahman, Sheikh Iqbal Ahamed:
Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go? CoRR abs/2204.02784 (2022) - [i21]Shaiful Alam Chowdhury, Gias Uddin, Reid Holmes:
An Empirical Study on Maintainable Method Size in Java. CoRR abs/2205.01842 (2022) - [i20]Ajoy Das, Gias Uddin, Guenther Ruhe:
An Empirical Study of Blockchain Repositories in GitHub. CoRR abs/2205.08087 (2022) - [i19]Nibir Chandra Mandal, Gias Uddin:
An Empirical Study of IoT Security Aspects at Sentence-Level in Developer Textual Discussions. CoRR abs/2206.03079 (2022) - [i18]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) - [i17]Md. Abdullah Al Alamin, Gias Uddin, Sanjay Malakar, Sadia Afroz, Tameem Bin Haider, Anindya Iqbal:
Developer Discussion Topics on the Adoption and Barriers of Low Code Software Development Platforms. CoRR abs/2209.00844 (2022) - [i16]Junaed Younus Khan, Gias Uddin:
Automatic Code Documentation Generation Using GPT-3. CoRR abs/2209.02235 (2022) - [i15]Madhu Selvaraj, Gias Uddin:
Does Collaborative Editing Help Mitigate Security Vulnerabilities in Crowd-Shared IoT Code Examples? CoRR abs/2209.15011 (2022) - [i14]Saikat Mondal, Gias Uddin, Chanchal Kumar Roy:
Automatic Prediction of Rejected Edits in Stack Overflow. CoRR abs/2210.03281 (2022) - [i13]Md. Abdullah Al Alamin, Gias Uddin:
Challenges and Barriers of Using Low Code Software for Machine Learning. CoRR abs/2211.04661 (2022) - 2021
- [j9]Gias Uddin, Fatima Sabir, Yann-Gaël Guéhéneuc, Omar Alam, Foutse Khomh:
An empirical study of IoT topics in IoT developer discussions on Stack Overflow. Empir. Softw. Eng. 26(6): 121 (2021) - [j8]Partha Chakraborty, Rifat Shahriyar, Anindya Iqbal, Gias Uddin:
How do developers discuss and support new programming languages in technical Q&A site? An empirical study of Go, Swift, and Rust in Stack Overflow. Inf. Softw. Technol. 137: 106603 (2021) - [j7]Gias Uddin, Foutse Khomh, Chanchal K. Roy:
Automatic API Usage Scenario Documentation from Technical Q&A Sites. ACM Trans. Softw. Eng. Methodol. 30(3): 31:1-31:45 (2021) - [j6]Gias Uddin, Foutse Khomh:
Automatic Mining of Opinions Expressed About APIs in Stack Overflow. IEEE Trans. Software Eng. 47(3): 522-559 (2021) - [j5]Gias Uddin, Olga Baysal, Latifa Guerrouj, Foutse Khomh:
Understanding How and Why Developers Seek and Analyze API-Related Opinions. IEEE Trans. Software Eng. 47(4): 694-735 (2021) - [c19]Khalid Hasan, Partha Chakraborty, Rifat Shahriyar, Anindya Iqbal, Gias Uddin:
A Survey-Based Qualitative Study to Characterize Expectations of Software Developers from Five Stakeholders. ESEM 2021: 4:1-4:11 - [c18]Md. Abdullah Al Alamin, Sanjay Malakar, Gias Uddin, Sadia Afroz, Tameem Bin Haider, Anindya Iqbal:
An Empirical Study of Developer Discussions on Low-Code Software Development Challenges. MSR 2021: 46-57 - [c17]Saikat Mondal, Gias Uddin, Chanchal K. Roy:
Rollback Edit Inconsistencies in Developer Forum. MSR 2021: 380-391 - [c16]Gias Uddin:
Security and Machine Learning Adoption in IoT: A Preliminary Study of IoT Developer Discussions. SERP4IoT 2021: 36-43 - [c15]Junaed Younus Khan, Md. Tawkat Islam Khondaker, Gias Uddin, Anindya Iqbal:
Automatic Detection of Five API Documentation Smells: Practitioners' Perspectives. SANER 2021: 318-329 - [c14]Mahmood Vahedi, Mohammad Masudur Rahman, Foutse Khomh, Gias Uddin, Giuliano Antoniol:
Summarizing Relevant Parts from Technical Videos. SANER 2021: 434-445 - [i12]Junaed Younus Khan, Md. Tawkat Islam Khondaker, Gias Uddin, Anindya Iqbal:
Automatic Detection of Five API Documentation Smells: Practitioners' Perspectives. CoRR abs/2102.08486 (2021) - [i11]Gias Uddin, Olga Baysal, Latifa Guerrouj, Foutse Khomh:
Understanding How and Why Developers Seek and Analyze API-related Opinions. CoRR abs/2102.08495 (2021) - [i10]Gias Uddin, Foutse Khomh, Chanchal K. Roy:
Automatic API Usage Scenario Documentation from Technical Q&A Sites. CoRR abs/2102.08502 (2021) - [i9]Gias Uddin, Foutse Khomh, Chanchal K. Roy:
Mining API Usage Scenarios from Stack Overflow. CoRR abs/2102.08874 (2021) - [i8]Md. Abdullah Al Alamin, Sanjay Malakar, Gias Uddin, Sadia Afroz, Tameem Bin Haider, Anindya Iqbal:
An Empirical Study of Developer Discussions on Low-Code Software Development Challenges. CoRR abs/2103.11429 (2021) - [i7]Gias Uddin:
Security and Machine Learning Adoption in IoT: A Preliminary Study of IoT Developer Discussions. CoRR abs/2104.00634 (2021) - [i6]Md. Abdullah Al Alamin, Gias Uddin:
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases. CoRR abs/2105.01195 (2021) - [i5]Partha Chakraborty, Rifat Shahriyar, Anindya Iqbal, Gias Uddin:
How do developers discuss and support new programming languages in technical Q&A site? An empirical study of Go, Swift, and Rust in Stack Overflow. CoRR abs/2105.01709 (2021) - [i4]Khalid Hasan, Partha Chakraborty, Rifat Shahriyar, Anindya Iqbal, Gias Uddin:
A Survey-Based Qualitative Study to Characterize Expectations of Software Developers from Five Stakeholders. CoRR abs/2107.09587 (2021) - [i3]Gias Uddin, Yann-Gaël Guéhéneuc, Foutse Khomh, Chanchal K. Roy:
An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets. CoRR abs/2111.03196 (2021) - 2020
- [j4]Gias Uddin, Foutse Khomh, Chanchal K. Roy:
Mining API usage scenarios from stack overflow. Inf. Softw. Technol. 122: 106277 (2020) - [c13]Ehsan Firouzi, Ashkan Sami, Foutse Khomh, Gias Uddin:
On the use of C# Unsafe Code Context: An Empirical Study of Stack Overflow. ESEM 2020: 39:1-39:6 - [c12]Saikat Mondal, Gias Uddin, Chanchal K. Roy:
Automatic Identification of Rollback Edit with Reasons in Stack Overflow Q&A Site. ICSME 2020: 856
2010 – 2019
- 2019
- [j3]Ikram El Asri, Noureddine Kerzazi, Gias Uddin, Foutse Khomh, Mohammed Abdou Janati Idrissi:
An empirical study of sentiments in code reviews. Inf. Softw. Technol. 114: 37-54 (2019) - [c11]Gias Uddin, Foutse Khomh, Chanchal K. Roy:
Towards crowd-sourced API documentation. ICSE (Companion Volume) 2019: 310-311 - [i2]Morteza Verdi, Ashkan Sami, Jafar Akhondali, Foutse Khomh, Gias Uddin, Alireza Karami Motlagh:
An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples. CoRR abs/1910.01321 (2019) - 2017
- [c10]Gias Uddin, Foutse Khomh:
Automatic summarization of API reviews. ASE 2017: 159-170 - [c9]Gias Uddin, Foutse Khomh:
Opiner: an opinion search and summarization engine for APIs. ASE 2017: 978-983 - [i1]Gias Uddin, Martin P. Robillard:
Resolving API Mentions in Informal Documents. CoRR abs/1709.02396 (2017) - 2015
- [j2]Gias Uddin, Martin P. Robillard:
How API Documentation Fails. IEEE Softw. 32(4): 68-75 (2015) - 2012
- [c8]Gias Uddin, Barthélémy Dagenais, Martin P. Robillard:
Temporal analysis of API usage concepts. ICSE 2012: 804-814 - 2011
- [c7]Gias Uddin, Barthélémy Dagenais, Martin P. Robillard:
Analyzing temporal API usage patterns. ASE 2011: 456-459
2000 – 2009
- 2009
- [j1]Mohammad Gias Uddin, Mohammad Zulkernine, Sheikh Iqbal Ahamed:
Collaboration through computation: incorporating trust model into service-based software systems. Serv. Oriented Comput. Appl. 3(1): 47-63 (2009) - [c6]Mohammad Gias Uddin, Mohammad Zulkernine:
ATM: an automatic trust monitoring algorithm for service software. SAC 2009: 1040-1044 - [c5]Mohammad Zulkernine, Mohammad Feroz Raihan, Mohammad Gias Uddin:
Towards Model-Based Automatic Testing of Attack Scenarios. SAFECOMP 2009: 229-242 - 2008
- [c4]Mohammad Gias Uddin, Mohammad Zulkernine:
UMLtrust: towards developing trust-aware software. SAC 2008: 831-836 - [c3]Mohammad Gias Uddin, Mohammad Zulkernine, Sheikh Iqbal Ahamed:
CAT: a context-aware trust model for open and dynamic systems. SAC 2008: 2024-2029 - 2007
- [c2]Mohammad Gias Uddin, Hossain Shahriar, Mohammad Zulkernine:
ACIR: An Aspect-Connector for Intrusion Response. COMPSAC (2) 2007: 249-254 - [c1]Chanchal Kumar Roy, Mohammad Gias Uddin, Banani Roy, Thomas R. Dean:
Evaluating Aspect Mining Techniques: A Case Study. ICPC 2007: 167-176
Coauthor Index
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