| EMSE |
2021 |
N.C. Shrikanth, William Nichols, Fahmid Morshed Fahid and Tim Menzies |
Assessing Practitioner Beliefs about Software Engineering
|
| ICSE |
2021 |
N.C. Shrikanth, Suvodeep Majumder and Tim Menzies |
Early Life Cycle Software Defect Prediction. Why? How?
|
| ICSE JSEET |
2021 |
Sarah Elder, Nusrat Zahan, Val Kozarev, Tim Menzies, Rui Shu and Laurie Williams |
Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard
|
| TSE |
2021 |
Tianpei Xia, Rui Shu, Xipeng Shen, Tim Menzies |
Sequential Model Optimization for Software Effort Estimation
|
| EMSE |
2020 |
Rui Shu, Tianpei Xia, Jianfeng Chen, Laurie Williams,Tim Menzies |
How to Better Distinguish Security Bug Reports (using Dual Hyperparameter Optimization)
|
| ASE NIER |
2020 |
Joymallya Chakraborty, Kewen Peng, Tim Menzies |
Making Fair ML Software using Trustworthy Explanation
|
| ESEC/FSE |
2020 |
Joymallya Chakraborty, Suvodeep Majumder, Zhe Yu, Tim Menzies |
Fairway: A Way to Build Fair ML Software
|
| ICSE Journal First |
2020 |
Zhe Yu, Chris Theisen, Laurie Williams , Tim Menzies |
Improving Vulnerability Inspection Efficiency Using Active Learning
|
| ICSE Journal First |
2020 |
Amritanshu Agrawal, Wei Fu, Di Chen, Xipeng Shen, Tim Menzies |
How to "DODGE" Complex Software Analytics?
|
| ICSE SEIP |
2020 |
N.C. Shrikanth, and Tim Menzies |
Assessing Practitioner Beliefs about Software Defect Prediction
|
| ASE LBR |
2019 |
Joymallya Chakraborty, Tianpei Xia, Fahmid M. Fahid, Tim Menzies |
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization
|
| FSE Industrial |
2019 |
Zhe Yu, Fahmid M. Fahid, Tim Menzies, Gregg Rothermel, Kyle Patrick, Snehit Cherian |
TERMINATOR: Better Automated UI Test Case Prioritization
|
| FSE Industrial |
2019 |
Jianfeng Chen, Joymallya Chakraborty, Philip Clark, Kevin Haverlock, Snehit Cherian, Tim Menzies |
Predicting Breakdowns in Cloud Services (with SPIKE)
|
| ICPC19 |
2019 |
Di Chen, Kathyrn Stolee, Tim Menzies |
Replication Can Improve Prior Results: A GitHub Study of Pull Request Acceptance
|
| TSE (Under Review) |
2019 |
Amritanshu Agrawal, Wei Fu, Di Chen, Xipeng Shen, and Tim Menzies |
How to "DODGE" Complex Software Analytics?
|
| TSE |
2019 |
Junjie Wang, Song Wang, Jianfeng Chen, Tim Menzies, Qiang Cui, Miao Xie, Qing Wang |
Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing
|
| ICSE (SIGSOFT Distinguished Paper) |
2019 |
Junjie Wang, Yang Ye, Rahul Krishna, Tim Menzies, Qing Wang |
iSENSE: Completion-Aware Crowdtesting Management
|
| Empirical Software Engineering (under review) |
2018 |
Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu |
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers
|
| Expert Systems with Applications |
2018 |
Zhe Yu and Tim Menzies |
FAST2: a Better Text Miner for Faster Understanding of the SE Literature
|
| Under Submission |
2018 |
Zhe Yu, Christopher Theisen, Laurie Williams, Tim Menzies |
Improving Vulnerability Inspection Efficiency Using
Active Learning
|
| NL4SE |
2018 |
Zhe Yu, Tim Menzies |
Total Recall, Language Processing, and Software
Engineering
|
| Under Submission |
2018 |
Tianpei Xia, Rahul Krishna, Jianfeng Chen, George Mathew, Xipeng Shen, Tim Menzies |
Hyperparameter Optimization for Effort Estimation
|
| Under Submission |
2018 |
Wunjie Wang, Mingyang Li, Song Wang, Tim Menzies and Qing Wang |
Images Don’t Lie: Duplicate Crowdsourced Test Report Detection With Screenshot Information
|
| Under Submission |
2018 |
Rahul Krishna and Tim Menzies |
From prediction to planning: improving software quality with BELLTREE
|
| SWAN |
2018 |
Huy Tu, Vivek Nair |
Is One Hyperparameter Optimizer Enough?
|
| TSE |
2018 |
Vivek Nair, Zhe Yu, Tim Menzies, Norbert Siegmund and Sven Apel |
Finding Faster Configurations using FLASH
|
| TSE |
2018 |
George Mathew, Amritanshu Agrawal and Tim Menzies |
A Method for Finding Trends in Software Research
|
| FSE'18 |
2018 |
Di Chen, Wei Fu, Rahul Krishna, Tim Menzies |
Applications of Psychological Science for Actionable Analytics
|
| IEEE CLOUD'18 |
2018 |
Chin-Jung Hsu, Vivek Nair, Tim Menzies, Vincent Freeh |
Micky: A Cheaper Alternative for Selecting Cloud Instances
|
| IEEE CLOUD'18 |
2018 |
Jianfeng Chen and Tim Menzies |
RIOT: a Novel Stochastic Method for Rapidly Configuring Cloud-Based Workflows
|
| SWAN'18 |
2018 |
Rahman, Akond, Amritanshu Agrawal, Rahul Krishna, and Alexander Sobran |
Characterizing The Influence of Continuous Integration. Empirical Results from 250+ Open Source and
Proprietary Projects.
|
| MSR'18 |
2018 |
Majumder, Suvodeep, Nikhila Balaji, Katie Brey, Wei Fu, and Tim Menzies |
500+ Times Faster Than Deep Learning (A Case Study Exploring Faster Methods for Text Mining
StackOverflow).
|
| MSR'18 |
2018 |
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro Minku, Markus
Wagner, and Zhe Yu |
Data-Driven Search-based Software Engineering
|
| TSE |
2018 |
Rahul Krishna and Tim Menzies |
Bellwethers: A Baseline Method For Transfer Learning
|
| IST |
2018 |
Amritanshu Agrawal, Wei Fu, and Tim Menzies |
What is Wrong with Topic Modeling?(and How to Fix it Using Search-based SE).
|
| ICSE SEIP'18 |
2018 |
Rahul Krishna, Amritanshu Agrawal, Akond Rahman, Alexander Sobran and Tim Menzies |
What is the Connection Between Issues, Bugs, and Enhancements? (Lessons Learned from 800+ Software
Projects)
|
| SWAN'18 |
2018 |
Akond Rahman, Amritanshu Agrawal, Rahul Krishna, Alexander Sobran |
Characterizing The Influence of Continuous Integration. Empirical Results from 250+ Open Source and
Proprietary Projects
|
| ICSE |
2018 |
Amritanshu Agrawal and Tim Menzies |
Is "Better Data" Better than "Better Data Miners"? (On the Benefits of Tuning SMOTE for Defect
Prediction)
|
| Under Submission |
2017 |
Vivek Nair, Rahul Krishna, Tim Menzies, Pooyan Jamshidi |
Transfer Learning with Bellwethers to find Good
Configurations
|
| Under Submission |
2017 |
Tim Menzies, Martin Shepperd |
Bad Smells in Software Analytics Papers"
|
| TSE |
2017 |
Jianfeng Chen, Vivek Nair, Rahul Krishna, and Tim Menzies. |
Sampling as a Baseline Optimizer for Search-based Software Engineering
|
| EMSE |
2017 |
Zhe Yu, Nicholas A. Kraft and Tim Menzies |
Finding Better Active Learners for Faster Literature Reviews
|
| IST |
2017 |
Jianfeng Chen, Vivek Nair, Tim Menzies |
Beyond Evolutionary Algorithms for Search-based Software Engineering
|
| IST |
2017 |
Rahul Krishna, Tim Menzies, and Lucas Layman |
Less is More: Minimizing Code Reorganization using XTREE
|
| ASE'17 (Doctoral Symposium) |
2017 |
Krishna, Rahul |
Don't Tell Me What Is, Tell Me What Ought To Be! Learning Effective Changes for Software Projects.
|
| TSE |
2017 |
Jaechang Nam, Wei Fu, Sunghun Kim, Tim Menzies, and Lin Tan |
Heterogeneous Defect Prediction
|
| FSE'17 |
2017 |
Wei Fu, and Tim Menzies |
Revisiting Unsupervised Learning for Defect Prediction
|
| FSE'17 |
2017 |
Wei Fu, and Tim Menzies |
Easy over Hard: A Case Study on Deep Learning
|
| FSE'17 |
2017 |
Vivek Nair, Tim Menzies, Norbert Siegmund, and Sven Apel |
Using Bad Learners to find Good Configurations
|
| EMSE |
2017 |
Tim Menzies, William Nichols, Forrest Shull and Lucas Layman |
Are Delayed Issues Harder to Resolve? Revisiting Cost-to-Fix of Defects throughout the Lifecycle
|
| CLEF'17 |
2017 |
Yu, Zhe, and Tim Menzies |
Data Balancing for Technologically Assisted Reviews: Undersampling or Reweighting.
|
| TSE |
2017 |
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose and Tim Menzies |
A deep learning model for estimating story points
|
| EMSE |
2016 |
Tim Menzies, Ye Yang, George Mathew, Jairus Hihn and Barry Boehm |
Negative Results for Software Effort Estimation.
|
| IST |
2016 |
Fu, Wei, Tim Menzies, and Xipeng Shen
|
Tuning for software analytics: Is it really necessary?
|
| ASE |
2016 |
Rahul Krishna, Tim Menzies, and Wei Fu |
Too much automation? the bellwether effect and its implications for transfer learning.
|
| SSBSE |
2016 |
Nair, Vivek, Tim Menzies, and Jianfeng Chen |
An (Accidental) Exploration of Alternatives to Evolutionary Algorithms for SBSE
|
| International Workshop on BIG Data Software Engineering |
2016 |
Krishna, Rahul, Zhe Yu, Amritanshu Agrawal, Manuel Dominguez, and David Wolf |
The BigSE project: lessons learned from validating industrial text mining |
| ASEW |
2015 |
Krishna, Rahul, and Tim Menzies |
Actionable= Cluster+ Contrast?
|
| TSE |
2015 |
Tim Menzies |
Cross-Project Data for Software Engineering
|
| ASEW'15 |
2015 |
Jaitus Hihn, and Tim Menzies. |
Data Mining Methods and Cost Estimation Models: Why is it So Hard to Infuse New Ideas?
|
| American journal of preventive medicine |
2015 |
Partington, Susan N., Tim J. Menzies, Trina A. Colburn, Brian E. Saelens, and Karen Glanz |
Reduced-Item Food Audits Based on the Nutrition Environment Measures Surveys
|
| ELSEVIER(book) |
2015 |
Christian Bird, Tim Menzies, and Thomas Zimmermann |
The Art and Science of Analyzing Software Data
|
| AUSE |
2015 |
Tim Menzies, and Corina Pasareanu. |
Guest editorial: special multi-issue on selected topics in Automated Software Engineering.
|
| EMSE |
2015 |
Ekrem Kocaguneli, Tim Menzies, and Emilia Mendes. |
Transfer learning in effort estimation
|
| BIGDSE'15 |
2015 |
Baresi, L., Tim Menzies, Metzger, A., & Zimmermann, T. |
1st international workshop on big data software engineering (BIGDSE 2015)
|
| ICSE'15 |
2015 |
Peters, Fayola, Tim Menzies, and Lucas Layman. |
LACE2: better privacy-preserving data sharing for cross project defect prediction
|
| TSE |
2015 |
Joseph Krall, Tim Menzies, and Misty Davies |
Gale: Geometric active learning for search-based software engineering
|
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