Tim Menzies

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 252

Top Venues

CoRR

IEEE Softw.

IEEE Trans. Software Eng.

ESEC/SIGSOFT FSE

Publications

Rahul Yedida, Tim Menzies
SMOOTHIE: A Theory of Hyper-parameter Optimization for Software Analytics. CoRR (2024)
Xiao Ling, Tim Menzies, Christopher J. Hazard, Jack Shu, Jacob Beel
Trading Off Scalability, Privacy, and Performance in Data Synthesis. IEEE Access 12 (2024)
Brittany Johnson, Tim Menzies
Fighting for What's Right: An Interview With Marc Canellas. IEEE Softw. 41 (2) (2024)
Tim Menzies, Andre Lustosa
Streamlining Software Reviews: Efficient Predictive Modeling with Minimal Examples. CoRR (2024)
Andre Lustosa, Tim Menzies
Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health. ACM Trans. Softw. Eng. Methodol. 33 (3) (2024)
Suvodeep Majumder, Joymallya Chakraborty, Tim Menzies
When less is more: on the value of "co-training" for semi-supervised software defect predictors. Empir. Softw. Eng. 29 (2) (2024)
Brittany Johnson, Tim Menzies
Ethics: Why Software Engineers Can't Afford to Look Away. IEEE Softw. 41 (1) (2024)
Brittany Johnson, Tim Menzies
The Power of Positionality - Why Accessibility? An Interview With Kevin Moran and Arun Krishnavajjala. IEEE Softw. 41 (3) (2024)
Tim Menzies
A brief note, with thanks, on the contributions of Guenther Ruhe. Inf. Softw. Technol. 173 (2024)
Tim Menzies, Brittany Johnson
Powering Down: An Interview With Federica Sarro on Tackling Energy Consumption in AI-Powered Software Systems. IEEE Softw. 41 (5) (2024)
Brittany Johnson, Tim Menzies
Are You Trapped in the Configuration Abyss? An Interview With Prof. Sven Apel. IEEE Softw. 41 (4) (2024)
Md Rayhanur Rahman, Brandon Wroblewski, Quinn Matthews, Brantley Morgan, Tim Menzies, Laurie A. Williams
Mining Temporal Attack Patterns from Cyberthreat Intelligence Reports. CoRR (2024)
George Mathew, Amritanshu Agrawal, Tim Menzies
Finding Trends in Software Research. IEEE Trans. Software Eng. 49 (4) (2023)
Xiao Ling, Tim Menzies
On the Benefits of Semi-Supervised Test Case Generation for Cyber-Physical Systems. CoRR (2023)
Huy Tu, Tim Menzies
Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics. CoRR (2023)
Lauren Alvarez, Tim Menzies
Don't Lie to Me: Avoiding Malicious Explanations With STEALTH. IEEE Softw. 40 (3) (2023)
Tim Menzies
How to "Sell" Ethics (Using AI): An Interview With Alexander Serebrenik. IEEE Softw. 40 (3) (2023)
Andre Lustosa, Tim Menzies
Partial Orderings as Heuristic for Multi-Objective Model-Based Reasoning. CoRR (2023)
Tim Menzies
Model Review: A PROMISEing Opportunity. PROMISE (2023)
Brittany Johnson, Tim Menzies
Unfairness Is Everywhere, so What to Do? An Interview With Jeanna Matthews. IEEE Softw. 40 (6) (2023)
Lauren Alvarez, Tim Menzies
Don't Lie to Me: Avoiding Malicious Explanations with STEALTH. CoRR (2023)
Tim Menzies, Brittany Johnson, David L. Roberts, Lauren Alvarez
The Engineering Mindset Is an Ethical Mindset (We Just Don't Teach It That Way... Yet). IEEE Softw. 40 (2) (2023)
Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
An expert system for redesigning software for cloud applications. Expert Syst. Appl. 219 (2023)
Xiao Ling, Tim Menzies, Christopher J. Hazard, Jack Shu, Jacob Beel
Trading Off Scalability, Privacy, and Performance in Data Synthesis. CoRR (2023)
Xueqi Yang, Mariusz Jakubowski, Kelly Kang, Haojie Yu, Tim Menzies
SparseCoder: Advancing Source Code Analysis with Sparse Attention and Learned Token Pruning. CoRR (2023)
Andre Lustosa, Tim Menzies
Optimizing Predictions for Very Small Data Sets: a case study on Open-Source Project Health Prediction. CoRR (2023)
Tim Menzies, Chris Hazard
"The Best Data Are Fake Data?": An Interview With Chris Hazard. IEEE Softw. 40 (5) (2023)
Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies
How to Find Actionable Static Analysis Warnings: A Case Study With FindBugs. IEEE Trans. Software Eng. 49 (4) (2023)
Tim Menzies
Model Review: A PROMISEing Opportunity. CoRR (2023)
Kewen Peng, Joymallya Chakraborty, Tim Menzies
FairMask: Better Fairness via Model-Based Rebalancing of Protected Attributes. IEEE Trans. Software Eng. 49 (4) (2023)
Guanqin Zhang, Jiankun Sun, Feng Xu, Yulei Sui, H. M. N. Dilum Bandara, Shiping Chen, Tim Menzies
A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning. IEEE Internet Comput. 27 (6) (2023)
Suvodeep Majumder, Joymallya Chakraborty, Gina R. Bai, Kathryn T. Stolee, Tim Menzies
Fair Enough: Searching for Sufficient Measures of Fairness. ACM Trans. Softw. Eng. Methodol. 32 (6) (2023)
Kewen Peng, Christian Kaltenecker, Norbert Siegmund, Sven Apel, Tim Menzies
VEER: enhancing the interpretability of model-based optimizations. Empir. Softw. Eng. 28 (3) (2023)
Maria Teresa Baldassarre, Neil A. Ernst, Ben Hermann, Tim Menzies, Rahul Yedida
(Re)Use of Research Results (Is Rampant). Commun. ACM 66 (2) (2023)
Xiao Ling, Tim Menzies
What Not to Test (For Cyber-Physical Systems). IEEE Trans. Software Eng. 49 (7) (2023)
N. C. Shrikanth, Tim Menzies
Assessing the Early Bird Heuristic (for Predicting Project Quality). ACM Trans. Softw. Eng. Methodol. 32 (5) (2023)
Kewen Peng, Tim Menzies
Defect Reduction Planning (Using TimeLIME). IEEE Trans. Software Eng. 48 (7) (2022)
Neil A. Ernst, Gabriele Bavota, Tim Menzies
AI-Driven Development Is Here: Should You Worry? IEEE Softw. 39 (2) (2022)
Guanqin Zhang, Jiankun Sun, Feng Xu, H. M. N. Dilum Bandara, Shiping Chen, Yulei Sui, Tim Menzies
A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning. CoRR (2022)
Rahul Yedida, Tim Menzies
How to Improve Deep Learning for Software Analytics (a case study with code smell detection). MSR (2022)
Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies
How to Find Actionable Static Analysis Warnings. CoRR (2022)
Suvodeep Majumder, Tianpei Xia, Rahul Krishna, Tim Menzies
Methods for Stabilizing Models Across Large Samples of Projects (with case studies on Predicting Defect and Project Health). MSR (2022)
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue. MSR (2022)
Rahul Yedida, Tim Menzies
How to Improve Deep Learning for Software Analytics (a case study with code smell detection). CoRR (2022)
Zhe Yu, Fahmid Morshed Fahid, Huy Tu, Tim Menzies
Identifying Self-Admitted Technical Debts With Jitterbug: A Two-Step Approach. IEEE Trans. Software Eng. 48 (5) (2022)
Xiao Ling, Rishabh Agrawal, Tim Menzies
How Different is Test Case Prioritization for Open and Closed Source Projects? IEEE Trans. Software Eng. 48 (7) (2022)
Huy Tu, Tim Menzies
DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning. Empir. Softw. Eng. 27 (4) (2022)
Tianpei Xia, Wei Fu, Rui Shu, Rishabh Agrawal, Tim Menzies
Predicting health indicators for open source projects (using hyperparameter optimization). Empir. Softw. Eng. 27 (6) (2022)
Sarah Elder, Nusrat Zahan, Rui Shu, Monica Metro, Valeri Kozarev, Tim Menzies, Laurie A. Williams
Do I really need all this work to find vulnerabilities? Empir. Softw. Eng. 27 (6) (2022)
Huy Tu, Tim Menzies
DebtFree: Minimizing Labeling Cost in Self-Admitted Technical Debt Identification using Semi-Supervised Learning. CoRR (2022)
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue. CoRR (2022)
Nelly Bencomo, Jin L. C. Guo, Rachel Harrison, Hans-Martin Heyn, Tim Menzies
The Secret to Better AI and Better Software (Is Requirements Engineering). IEEE Softw. 39 (1) (2022)
Suvodeep Majumder, Joymallya Chakraborty, Tim Menzies
When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors. CoRR (2022)
Rahul Yedida, Tim Menzies
On the Value of Oversampling for Deep Learning in Software Defect Prediction. IEEE Trans. Software Eng. 48 (8) (2022)
Rui Shu, Tianpei Xia, Huy Tu, Laurie A. Williams, Tim Menzies
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning). CoRR (2022)
Tianpei Xia, Rui Shu, Xipeng Shen, Tim Menzies
Sequential Model Optimization for Software Effort Estimation. IEEE Trans. Software Eng. 48 (6) (2022)
Sarah Elder, Nusrat Zahan, Rui Shu, Monica Metro, Valeri Kozarev, Tim Menzies, Laurie A. Williams
Do I really need all this work to find vulnerabilities? An empirical case study comparing vulnerability detection techniques on a Java application. CoRR (2022)
Atif Mashkoor, Tim Menzies, Alexander Egyed, Rudolf Ramler
Artificial Intelligence and Software Engineering: Are We Ready? Computer 55 (3) (2022)
Suvodeep Majumder, Pranav Mody, Tim Menzies
Revisiting process versus product metrics: a large scale analysis. Empir. Softw. Eng. 27 (3) (2022)
Zhe Yu, Jeffrey C. Carver, Gregg Rothermel, Tim Menzies
Assessing expert system-assisted literature reviews with a case study. Expert Syst. Appl. 200 (2022)
Amritanshu Agrawal, Xueqi Yang, Rishabh Agrawal, Rahul Yedida, Xipeng Shen, Tim Menzies
Simpler Hyperparameter Optimization for Software Analytics: Why, How, When? IEEE Trans. Software Eng. 48 (8) (2022)
Huy Tu, Zhe Yu, Tim Menzies
Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction). IEEE Trans. Software Eng. 48 (2) (2022)
Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies
Omni: automated ensemble with unexpected models against adversarial evasion attack. Empir. Softw. Eng. 27 (1) (2022)
Andre Lustosa, Tim Menzies
SNEAK: Faster Interactive Search-based Software Engineering (using Semi-Supervised Learning). CoRR (2021)
Rahul Yedida, Tim Menzies
Documenting evidence of a reuse of 'a systematic study of the class imbalance problem in convolutional neural networks'. ESEC/SIGSOFT FSE (2021)
Xueqi Yang, Tim Menzies
Documenting evidence of a replication of 'analyze this! 145 questions for data scientists in software engineering'. ESEC/SIGSOFT FSE (2021)
Andre Lustosa, Tim Menzies
Documenting evidence of a reuse of 'RefactoringMiner 2.0'. ESEC/SIGSOFT FSE (2021)
Kewen Peng, Tim Menzies
Documenting evidence of a reuse of 'what is a feature? a qualitative study of features in industrial software product lines'. ESEC/SIGSOFT FSE (2021)
Zhe Yu, Christopher Theisen, Laurie A. Williams, Tim Menzies
Improving Vulnerability Inspection Efficiency Using Active Learning. IEEE Trans. Software Eng. 47 (11) (2021)
Joymallya Chakraborty, Huy Tu, Suvodeep Majumder, Tim Menzies
Can We Achieve Fairness Using Semi-Supervised Learning? CoRR (2021)
Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies
Understanding static code warnings: An incremental AI approach. Expert Syst. Appl. 167 (2021)
N. C. Shrikanth, Tim Menzies
The Early Bird Catches the Worm: Better Early Life Cycle Defect Predictors. CoRR (2021)
Junjie Wang, Song Wang, Jianfeng Chen, Tim Menzies, Qiang Cui, Miao Xie, Qing Wang
Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing. IEEE Trans. Software Eng. 47 (6) (2021)
Kewen Peng, Tim Menzies
Documenting evidence of a reuse of '"why should I trust you?": explaining the predictions of any classifier'. ESEC/SIGSOFT FSE (2021)
Huy Tu, Tim Menzies
FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics. ASE (2021)
Maria Teresa Baldassarre, Neil A. Ernst, Ben Hermann, Tim Menzies, Rahul Yedida
Crowdsourcing the State of the Art(ifacts). CoRR (2021)
Kewen Peng, Joymallya Chakraborty, Tim Menzies
xFAIR: Better Fairness via Model-based Rebalancing of Protected Attributes. CoRR (2021)
N. C. Shrikanth, Suvodeep Majumder, Tim Menzies
Early Life Cycle Software Defect Prediction. Why? How? ICSE (2021)
Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
Mining Scientific Workflows for Anomalous Data Transfers. CoRR (2021)
Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
Lessons learned from hyper-parameter tuning for microservice candidate identification. CoRR (2021)
Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies
Bias in Machine Learning Software: Why? How? What to do? CoRR (2021)
Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
Mining Workflows for Anomalous Data Transfers. MSR (2021)
Rui Shu, Tianpei Xia, Jianfeng Chen, Laurie A. Williams, Tim Menzies
How to Better Distinguish Security Bug Reports (Using Dual Hyperparameter Optimization). Empir. Softw. Eng. 26 (3) (2021)
Mehdi Bahrami, N. C. Shrikanth, Shade Ruangwan, Lei Liu, Yuji Mizobuchi, Masahiro Fukuyori, Wei-Peng Chen, Kazuki Munakata, Tim Menzies
PyTorrent: A Python Library Corpus for Large-scale Language Models. CoRR (2021)
Xueqi Yang, Jianfeng Chen, Rahul Yedida, Zhe Yu, Tim Menzies
Learning to recognize actionable static code warnings (is intrinsically easy). Empir. Softw. Eng. 26 (3) (2021)
Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies
Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE. IEEE Trans. Software Eng. 47 (12) (2021)
Huy Tu, Tim Menzies
FRUGAL: Unlocking SSL for Software Analytics. CoRR (2021)
Falk Howar, Malte Mues, Tim Menzies
Can We Trust Theorem Provers for Industrial AI? IEEE Softw. 38 (6) (2021)
Amritanshu Agrawal, Wei Fu, Di Chen, Xipeng Shen, Tim Menzies
How to "DODGE" Complex Software Analytics. IEEE Trans. Software Eng. 47 (10) (2021)
Rahul Yedida, Xueqi Yang, Tim Menzies
When SIMPLE is better than complex: A case study on deep learning for predicting Bugzilla issue close time. CoRR (2021)
Tim Menzies, Kewen Peng, Andre Lustosa
Fairer Software Made Easier (using "Keys"). CoRR (2021)
Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
Lessons learned from hyper-parameter tuning for microservice candidate identification. ASE (2021)
Andre Lustosa, Tim Menzies
Documenting evidence of a reuse of 'a systematic literature review of techniques and metrics to reduce the cost of mutation testing'. ESEC/SIGSOFT FSE (2021)
Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies
Bias in machine learning software: why? how? what to do? ESEC/SIGSOFT FSE (2021)
Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
Partitioning Cloud-based Microservices (via Deep Learning). CoRR (2021)
Andre Lustosa, Tim Menzies
Preference Discovery in Large Product Lines. CoRR (2021)
Sarah Elder, Nusrat Zahan, Val Kozarev, Rui Shu, Tim Menzies, Laurie A. Williams
Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard. CoRR (2021)
Suvodeep Majumder, Joymallya Chakraborty, Gina R. Bai, Kathryn T. Stolee, Tim Menzies
Fair Enough: Searching for Sufficient Measures of Fairness. CoRR (2021)
Xueqi Yang, Tim Menzies
Documenting evidence of a reproduction of 'is there a "golden" feature set for static warning identification? - an experimental evaluation'. ESEC/SIGSOFT FSE (2021)
Rahul Yedida, Tim Menzies
Documenting evidence of a reuse of 'on the number of linear regions of deep neural networks'. ESEC/SIGSOFT FSE (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tim Menzies