Gias Uddin

Orcid: 0000-0003-1376-095X

Affiliations:
  • York University, Toronto, ON, Canada
  • University of Calgary, Canada (former)
  • McGill University, School of Computer Science, Montreal, Canada (PhD 2018)


According to our database1, Gias Uddin authored at least 62 papers between 2007 and 2024.

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

Timeline

Legend:

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Bibliography

2024
How far are we with automated machine learning? characterization and challenges of AutoML toolkits.
Empir. Softw. Eng., July, 2024

Method-level Bug Prediction: Problems and Promises.
ACM Trans. Softw. Eng. Methodol., May, 2024

An empirical study on bug severity estimation using source code metrics and static analysis.
J. Syst. Softw., 2024

A Systematic Mapping Study of Crowd Knowledge Enhanced Software Engineering Research Using Stack Overflow.
CoRR, 2024

A Large-Scale Empirical Study of COVID-19 Contact Tracing Mobile App Reviews.
CoRR, 2024

Assessing the Influence of Toxic and Gender Discriminatory Communication on Perceptible Diversity in OSS Projects.
CoRR, 2024

ChatGPT Incorrectness Detection in Software Reviews.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

"How do people decide?": A Model for Software Library Selection.
Proceedings of the 2024 IEEE/ACM 17th International Conference on Cooperative and Human Aspects of Software Engineering, 2024

2023
A mixed method study of DevOps challenges.
Inf. Softw. Technol., 2023

Automatic prediction of rejected edits in Stack Overflow.
Empir. Softw. Eng., 2023

Developer discussion topics on the adoption and barriers of low code software development platforms.
Empir. Softw. Eng., 2023

Characterizing Issue Management in Runtime Systems.
CoRR, 2023

A Large-Scale Study of IoT Security Weaknesses and Vulnerabilities in the Wild.
CoRR, 2023

An Empirical Study of Deep Learning Sentiment Detection Tools for Software Engineering in Cross-Platform Settings.
CoRR, 2023

Combining Contexts from Multiple Sources for Documentation-Specific Code Example Generation.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Contrastive Learning for API Aspect Analysis.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Characterizing Issue Management in Runtime Systems.
Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

2022
An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples.
IEEE Trans. Software Eng., 2022

An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets.
ACM Trans. Softw. Eng. Methodol., 2022

An empirical study of IoT security aspects at sentence-level in developer textual discussions.
Inf. Softw. Technol., 2022

Early prediction for merged vs abandoned code changes in modern code reviews.
Inf. Softw. Technol., 2022

A qualitative study of developers' discussions of their problems and joys during the early COVID-19 months.
Empir. Softw. Eng., 2022

Challenges and Barriers of Using Low Code Software for Machine Learning.
CoRR, 2022

Are You Misinformed? A Study of Covid-Related Fake News in Bengali on Facebook.
CoRR, 2022

Aspect-Based API Review Classification: How Far Can Pre-Trained Transformer Model Go?
Proceedings of the IEEE International Conference on Software Analysis, 2022

Automatic Detection and Analysis of Technical Debts in Peer-Review Documentation of R Packages.
Proceedings of the IEEE International Conference on Software Analysis, 2022

An Empirical Study on Maintainable Method Size in Java.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Automatic Code Documentation Generation Using GPT-3.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Does Collaborative Editing Help Mitigate Security Vulnerabilities in Crowd-Shared IoT Code Examples?
Proceedings of the ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19, 2022

An Empirical Study of Blockchain Repositories in GitHub.
Proceedings of the EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13, 2022

Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go?
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021
Automatic Mining of Opinions Expressed About APIs in Stack Overflow.
IEEE Trans. Software Eng., 2021

Understanding How and Why Developers Seek and Analyze API-Related Opinions.
IEEE Trans. Software Eng., 2021

Automatic API Usage Scenario Documentation from Technical Q&A Sites.
ACM Trans. Softw. Eng. Methodol., 2021

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., 2021

An empirical study of IoT topics in IoT developer discussions on Stack Overflow.
Empir. Softw. Eng., 2021

Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases.
CoRR, 2021

Summarizing Relevant Parts from Technical Videos.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Automatic Detection of Five API Documentation Smells: Practitioners' Perspectives.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Security and Machine Learning Adoption in IoT: A Preliminary Study of IoT Developer Discussions.
Proceedings of the 3rd IEEE/ACM International Workshop on Software Engineering Research and Practices for the IoT SERP4IoT 2021, 2021

Rollback Edit Inconsistencies in Developer Forum.
Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

An Empirical Study of Developer Discussions on Low-Code Software Development Challenges.
Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

A Survey-Based Qualitative Study to Characterize Expectations of Software Developers from Five Stakeholders.
Proceedings of the ESEM '21: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2021

2020
Mining API usage scenarios from stack overflow.
Inf. Softw. Technol., 2020

Automatic Identification of Rollback Edit with Reasons in Stack Overflow Q&A Site.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

On the use of C# Unsafe Code Context: An Empirical Study of Stack Overflow.
Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

2019
An empirical study of sentiments in code reviews.
Inf. Softw. Technol., 2019

Towards crowd-sourced API documentation.
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

2017
Resolving API Mentions in Informal Documents.
CoRR, 2017

Opiner: an opinion search and summarization engine for APIs.
Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

Automatic summarization of API reviews.
Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

2015
How API Documentation Fails.
IEEE Softw., 2015

2012
Temporal analysis of API usage concepts.
Proceedings of the 34th International Conference on Software Engineering, 2012

2011
Analyzing temporal API usage patterns.
Proceedings of the 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), 2011

2009
Collaboration through computation: incorporating trust model into service-based software systems.
Serv. Oriented Comput. Appl., 2009

Towards Model-Based Automatic Testing of Attack Scenarios.
Proceedings of the Computer Safety, 2009

ATM: an automatic trust monitoring algorithm for service software.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

2008
CAT: a context-aware trust model for open and dynamic systems.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

UMLtrust: towards developing trust-aware software.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

2007
Evaluating Aspect Mining Techniques: A Case Study.
Proceedings of the 15th International Conference on Program Comprehension (ICPC 2007), 2007

ACIR: An Aspect-Connector for Intrusion Response.
Proceedings of the 31st Annual International Computer Software and Applications Conference, 2007


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