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ORCIDTim Menzies
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- affiliation: North Carolina State University, North Carolina, USA
- affiliation (former): University of British Columbia, Vancouver, Canada
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2020 – today
- 2024
[j162]Xiao Ling
, Tim Menzies, Christopher J. Hazard, Jack Shu, Jacob Beel:
Trading Off Scalability, Privacy, and Performance in Data Synthesis. IEEE Access 12: 26642-26654 (2024)- [j161]Andre Lustosa, Tim Menzies:
iSNEAK: Partial Ordering as Heuristics for Model- Based Reasoning in Software Engineering. IEEE Access 12: 142915-142929 (2024) - [j160]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): 51 (2024) - [j159]Tim Menzies:
A brief note, with thanks, on the contributions of Guenther Ruhe. Inf. Softw. Technol. 173: 107486 (2024) - [j158]Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang, Jiri Gesi, Sagar Sen, Beatriz Cassoli, Nicolas Jourdan, Jieke Shi, Phu Hong Nguyen, Valentina Golendukhina:
SEA4DQ 2024 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes 49(4): 29-30 (2024) - [j157]Brittany Johnson, Tim Menzies:
Ethics: Why Software Engineers Can't Afford to Look Away. IEEE Softw. 41(1): 142-144 (2024) - [j156]Brittany Johnson, Tim Menzies:
Fighting for What's Right: An Interview With Marc Canellas. IEEE Softw. 41(2): 104-107 (2024) - [j155]Brittany Johnson, Tim Menzies:
The Power of Positionality - Why Accessibility? An Interview With Kevin Moran and Arun Krishnavajjala. IEEE Softw. 41(3): 91-94 (2024) - [j154]Brittany Johnson, Tim Menzies:
Are You Trapped in the Configuration Abyss? An Interview With Prof. Sven Apel. IEEE Softw. 41(4): 175-181 (2024) - [j153]Tim Menzies, Brittany Johnson:
Powering Down: An Interview With Federica Sarro on Tackling Energy Consumption in AI-Powered Software Systems. IEEE Softw. 41(5): 89-92 (2024) - [j152]Brittany Johnson, Tim Menzies:
AI Over-Hype: A Dangerous Threat (and How to Fix It). IEEE Softw. 41(6): 131-138 (2024) - [j151]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): 58:1-58:22 (2024) - [j150]Zhe Yu, Joymallya Chakraborty, Tim Menzies:
FairBalance: How to Achieve Equalized Odds With Data Pre-Processing. IEEE Trans. Software Eng. 50(9): 2294-2312 (2024) - [j149]Sebastián Uchitel, Marsha Chechik, Massimiliano Di Penta, Bram Adams, Nazareno Aguirre, Gabriele Bavota, Domenico Bianculli, Kelly Blincoe, Ana Cavalcanti, Yvonne Dittrich, Filomena Ferrucci, Rashina Hoda, LiGuo Huang, David Lo, Michael R. Lyu, Lei Ma, Jonathan I. Maletic, Leonardo Mariani, Collin McMillan, Tim Menzies, Martin Monperrus, Ana Moreno, Nachiappan Nagappan, Liliana Pasquale, Patrizio Pelliccione, Michael Pradel, Rahul Purandare, Sukyoung Ryu, Mehrdad Sabetzadeh, Alexander Serebrenik, Jun Sun, Chakkrit Kla Tantithamthavorn, Christoph Treude, Manuel Wimmer, Yingfei Xiong, Tao Yue, Andy Zaidman, Tao Zhang, Hao Zhong:
Scoping Software Engineering for AI: The TSE Perspective. IEEE Trans. Software Eng. 50(11): 2709-2711 (2024) - [e12]Tim Menzies, Bowen Xu, Hong Jin Kang, Jie M. Zhang:
Proceedings of the 4th International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, SEA4DQ 2024, Porto de Galinhas, Brazil, 15 July 2024. ACM 2024 [contents] - [i118]Md. Rayhanur Rahman, Brandon Wroblewski, Quinn Matthews, Brantley Morgan, Tim Menzies, Laurie A. Williams:
Mining Temporal Attack Patterns from Cyberthreat Intelligence Reports. CoRR abs/2401.01883 (2024) - [i117]Rahul Yedida, Tim Menzies:
SMOOTHIE: A Theory of Hyper-parameter Optimization for Software Analytics. CoRR abs/2401.09622 (2024) - [i116]Tim Menzies, Andre Lustosa:
Streamlining Software Reviews: Efficient Predictive Modeling with Minimal Examples. CoRR abs/2405.12920 (2024) - 2023
- [j148]Maria Teresa Baldassarre, Neil A. Ernst, Ben Hermann, Tim Menzies, Rahul Yedida:
(Re)Use of Research Results (Is Rampant). Commun. ACM 66(2): 75-81 (2023) - [j147]Kewen Peng, Christian Kaltenecker, Norbert Siegmund, Sven Apel, Tim Menzies:
VEER: enhancing the interpretability of model-based optimizations. Empir. Softw. Eng. 28(3): 61 (2023) - [j146]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: 119673 (2023) - [j145]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): 13-20 (2023) - [j144]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): 103-110 (2023) - [j143]Lauren Alvarez, Tim Menzies:
Don't Lie to Me: Avoiding Malicious Explanations With STEALTH. IEEE Softw. 40(3): 43-53 (2023) - [j142]Tim Menzies:
How to "Sell" Ethics (Using AI): An Interview With Alexander Serebrenik. IEEE Softw. 40(3): 95-97 (2023) - [j141]Tim Menzies, Chris Hazard:
"The Best Data Are Fake Data?": An Interview With Chris Hazard. IEEE Softw. 40(5): 121-124 (2023) - [j140]Brittany Johnson, Tim Menzies:
Unfairness Is Everywhere, so What to Do? An Interview With Jeanna Matthews. IEEE Softw. 40(6): 135-138 (2023) - [j139]N. C. Shrikanth, Tim Menzies:
Assessing the Early Bird Heuristic (for Predicting Project Quality). ACM Trans. Softw. Eng. Methodol. 32(5): 116:1-116:39 (2023) - [j138]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): 134:1-134:22 (2023) - [j137]George Mathew, Amritanshu Agrawal, Tim Menzies:
Finding Trends in Software Research. IEEE Trans. Software Eng. 49(4): 1397-1410 (2023) - [j136]Kewen Peng, Joymallya Chakraborty, Tim Menzies:
FairMask: Better Fairness via Model-Based Rebalancing of Protected Attributes. IEEE Trans. Software Eng. 49(4): 2426-2439 (2023) - [j135]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): 2856-2872 (2023) - [j134]Xiao Ling, Tim Menzies:
What Not to Test (For Cyber-Physical Systems). IEEE Trans. Software Eng. 49(7): 3811-3826 (2023) - [c167]Tim Menzies:
Model Review: A PROMISEing Opportunity. PROMISE 2023: 64-68 - [d2]Tim Menzies:
4src/fish: another release to make zenodo to index this site. Version v0.8.0. Zenodo, 2023 [all versions]
- [d1]Tim Menzies:
4src/fish: another release to make zenodo to index this site. Version v0.9.01. Zenodo, 2023 [all versions] - [i115]Andre Lustosa, Tim Menzies:
Optimizing Predictions for Very Small Data Sets: a case study on Open-Source Project Health Prediction. CoRR abs/2301.06577 (2023) - [i114]Lauren Alvarez, Tim Menzies:
Don't Lie to Me: Avoiding Malicious Explanations with STEALTH. CoRR abs/2301.10407 (2023) - [i113]Huy Tu, Tim Menzies:
Less, but Stronger: On the Value of Strong Heuristics in Semi-supervised Learning for Software Analytics. CoRR abs/2302.01997 (2023) - [i112]Xiao Ling, Tim Menzies:
On the Benefits of Semi-Supervised Test Case Generation for Cyber-Physical Systems. CoRR abs/2305.03714 (2023) - [i111]Tim Menzies:
Model Review: A PROMISEing Opportunity. CoRR abs/2309.01314 (2023) - [i110]Xueqi Yang, Mariusz Jakubowski, Kelly Kang, Haojie Yu, Tim Menzies:
SparseCoder: Advancing Source Code Analysis with Sparse Attention and Learned Token Pruning. CoRR abs/2310.07109 (2023) - [i109]Andre Lustosa, Tim Menzies:
Partial Orderings as Heuristic for Multi-Objective Model-Based Reasoning. CoRR abs/2310.19125 (2023) - [i108]Xiao Ling, Tim Menzies, Christopher J. Hazard, Jack Shu, Jacob Beel:
Trading Off Scalability, Privacy, and Performance in Data Synthesis. CoRR abs/2312.05436 (2023) - 2022
- [j133]Atif Mashkoor, Tim Menzies, Alexander Egyed, Rudolf Ramler:
Artificial Intelligence and Software Engineering: Are We Ready? Computer 55(3): 24-28 (2022) - [j132]Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies:
Omni: automated ensemble with unexpected models against adversarial evasion attack. Empir. Softw. Eng. 27(1): 26 (2022) - [j131]Suvodeep Majumder, Pranav Mody, Tim Menzies:
Revisiting process versus product metrics: a large scale analysis. Empir. Softw. Eng. 27(3): 60 (2022) - [j130]Huy Tu, Tim Menzies:
DebtFree: minimizing labeling cost in self-admitted technical debt identification using semi-supervised learning. Empir. Softw. Eng. 27(4): 80 (2022) - [j129]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): 122 (2022) - [j128]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): 154 (2022) - [j127]Zhe Yu, Jeffrey C. Carver, Gregg Rothermel, Tim Menzies:
Assessing expert system-assisted literature reviews with a case study. Expert Syst. Appl. 200: 116958 (2022) - [j126]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): 105-110 (2022) - [j125]Huy Tu, Zhe Yu, Tim Menzies:
Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction). IEEE Trans. Software Eng. 48(2): 278-294 (2022) - [j124]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): 1676-1691 (2022) - [j123]Tianpei Xia, Rui Shu, Xipeng Shen, Tim Menzies:
Sequential Model Optimization for Software Effort Estimation. IEEE Trans. Software Eng. 48(6): 1994-2009 (2022) - [j122]Kewen Peng, Tim Menzies:
Defect Reduction Planning (Using TimeLIME). IEEE Trans. Software Eng. 48(7): 2510-2525 (2022) - [j121]Xiao Ling, Rishabh Agrawal, Tim Menzies:
How Different is Test Case Prioritization for Open and Closed Source Projects? IEEE Trans. Software Eng. 48(7): 2526-2540 (2022) - [j120]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): 2939-2954 (2022) - [j119]Rahul Yedida, Tim Menzies:
On the Value of Oversampling for Deep Learning in Software Defect Prediction. IEEE Trans. Software Eng. 48(8): 3103-3116 (2022) - [c166]Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies:
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue. MSR 2022: 144-155 - [c165]Rahul Yedida, Tim Menzies:
How to Improve Deep Learning for Software Analytics (a case study with code smell detection). MSR 2022: 156-166 - [c164]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: 566-578 - [i107]Huy Tu, Tim Menzies:
DebtFree: Minimizing Labeling Cost in Self-Admitted Technical Debt Identification using Semi-Supervised Learning. CoRR abs/2201.10592 (2022) - [i106]Rahul Yedida, Tim Menzies:
How to Improve Deep Learning for Software Analytics (a case study with code smell detection). CoRR abs/2202.01322 (2022) - [i105]Rui Shu, Tianpei Xia, Laurie A. Williams, Tim Menzies:
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue. CoRR abs/2203.11410 (2022) - [i104]Rui Shu, Tianpei Xia, Huy Tu, Laurie A. Williams, Tim Menzies:
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning). CoRR abs/2205.00665 (2022) - [i103]Rahul Yedida, Hong Jin Kang, Huy Tu, Xueqi Yang, David Lo, Tim Menzies:
How to Find Actionable Static Analysis Warnings. CoRR abs/2205.10504 (2022) - [i102]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 abs/2208.01595 (2022) - [i101]Suvodeep Majumder, Joymallya Chakraborty, Tim Menzies:
When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors. CoRR abs/2211.05920 (2022) - [i100]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 abs/2211.10012 (2022) - 2021
- [j118]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): 53 (2021) - [j117]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): 56 (2021) - [j116]N. C. Shrikanth, William Nichols, Fahmid Morshed Fahid, Tim Menzies:
Assessing practitioner beliefs about software engineering. Empir. Softw. Eng. 26(4): 73 (2021) - [j115]Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies:
Understanding static code warnings: An incremental AI approach. Expert Syst. Appl. 167: 114134 (2021) - [j114]Tim Menzies:
Shockingly Simple: "KEYS" for Better AI for SE. IEEE Softw. 38(2): 114-118 (2021) - [j113]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): 1259-1276 (2021) - [j112]Amritanshu Agrawal, Wei Fu, Di Chen, Xipeng Shen, Tim Menzies:
How to "DODGE" Complex Software Analytics. IEEE Trans. Software Eng. 47(10): 2182-2194 (2021) - [j111]Zhe Yu, Christopher Theisen, Laurie A. Williams, Tim Menzies:
Improving Vulnerability Inspection Efficiency Using Active Learning. IEEE Trans. Software Eng. 47(11): 2401-2420 (2021) - [j110]Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies:
Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE. IEEE Trans. Software Eng. 47(12): 2956-2972 (2021) - [c163]Sarah Elder, Nusrat Zahan, Valeri Kozarev, Rui Shu, Tim Menzies, Laurie A. Williams:
Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard. ICSE (SEET) 2021: 95-104 - [c162]N. C. Shrikanth, Suvodeep Majumder, Tim Menzies:
Early Life Cycle Software Defect Prediction. Why? How? ICSE 2021: 448-459 - [c161]Tim Menzies, Kewen Peng, Andre Lustosa:
Fairer Software Made Easier (using "Keys"). ASE Workshops 2021: 108-113 - [c160]Huy Tu, Tim Menzies:
FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics. ASE 2021: 394-406 - [c159]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: 1141-1145 - [c158]Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies:
Mining Workflows for Anomalous Data Transfers. MSR 2021: 1-12 - [c157]Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies:
Bias in machine learning software: why? how? what to do? ESEC/SIGSOFT FSE 2021: 429-440 - [c156]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: 1595 - [c155]Rahul Yedida, Tim Menzies:
Documenting evidence of a reuse of 'on the number of linear regions of deep neural networks'. ESEC/SIGSOFT FSE 2021: 1596 - [c154]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: 1597 - [c153]Andre Lustosa, Tim Menzies:
Documenting evidence of a reuse of 'RefactoringMiner 2.0'. ESEC/SIGSOFT FSE 2021: 1598 - [c152]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: 1599 - [c151]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: 1600 - [c150]Xueqi Yang, Tim Menzies:
Documenting evidence of a replication of 'populating a release history database from version control and bug tracking systems'. ESEC/SIGSOFT FSE 2021: 1601 - [c149]Xueqi Yang, Tim Menzies:
Documenting evidence of a replication of 'analyze this! 145 questions for data scientists in software engineering'. ESEC/SIGSOFT FSE 2021: 1602 - [c148]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: 1603 - [i99]Jianfeng Chen, Xipeng Shen, Tim Menzies:
Faster SAT Solving for Software with Repeated Structures (with Case Studies on Software Test Suite Minimization). CoRR abs/2101.02817 (2021) - [i98]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 abs/2101.06319 (2021) - [i97]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 abs/2103.05088 (2021) - [i96]Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies:
Mining Scientific Workflows for Anomalous Data Transfers. CoRR abs/2103.12221 (2021) - [i95]N. C. Shrikanth, Tim Menzies:
The Early Bird Catches the Worm: Better Early Life Cycle Defect Predictors. CoRR abs/2105.11082 (2021) - [i94]Joymallya Chakraborty, Suvodeep Majumder, Tim Menzies:
Bias in Machine Learning Software: Why? How? What to do? CoRR abs/2105.12195 (2021) - [i93]Kewen Peng, Christian Kaltenecker, Norbert Siegmund, Sven Apel, Tim Menzies:
VEER: Disagreement-Free Multi-objective Configuration. CoRR abs/2106.02716 (2021) - [i92]Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic:
Lessons learned from hyper-parameter tuning for microservice candidate identification. CoRR abs/2106.06652 (2021) - [i91]Tim Menzies, Kewen Peng, Andre Lustosa:
Fairer Software Made Easier (using "Keys"). CoRR abs/2107.05088 (2021) - [i90]Maria Teresa Baldassarre, Neil A. Ernst, Ben Hermann, Tim Menzies, Rahul Yedida:
Crowdsourcing the State of the Art(ifacts). CoRR abs/2108.06821 (2021) - [i89]Huy Tu, Tim Menzies:
FRUGAL: Unlocking SSL for Software Analytics. CoRR abs/2108.09847 (2021) - [i88]Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic:
Partitioning Cloud-based Microservices (via Deep Learning). CoRR abs/2109.14569 (2021) - [i87]Kewen Peng, Joymallya Chakraborty, Tim Menzies:
xFAIR: Better Fairness via Model-based Rebalancing of Protected Attributes. CoRR abs/2110.01109 (2021) - [i86]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 abs/2110.01710 (2021) - [i85]Suvodeep Majumder, Joymallya Chakraborty, Gina R. Bai, Kathryn T. Stolee, Tim Menzies:
Fair Enough: Searching for Sufficient Measures of Fairness. CoRR abs/2110.13029 (2021) - [i84]Joymallya Chakraborty, Huy Tu, Suvodeep Majumder, Tim Menzies:
Can We Achieve Fairness Using Semi-Supervised Learning? CoRR abs/2111.02038 (2021) - [i83]Xiao Ling, Tim Menzies:
Faster Multi-Goal Simulation-Based Testing Using DoLesS (Domination with Least Square Approximation). CoRR abs/2112.01598 (2021) - 2020
- [j109]Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu:
Better software analytics via "DUO": Data mining algorithms using/used-by optimizers. Empir. Softw. Eng. 25(3): 2099-2136 (2020) - [j108]Rahul Krishna, Tim Menzies:
Learning actionable analytics from multiple software projects. Empir. Softw. Eng. 25(5): 3468-3500 (2020) - [j107]Tim Menzies:
The Five Laws of SE for AI. IEEE Softw. 37(1): 81-85 (2020) - [j106]Anita D. Carleton, Erin Harper, Tim Menzies, Tao Xie, Sigrid Eldh, Michael R. Lyu:
The AI Effect: Working at the Intersection of AI and SE. IEEE Softw. 37(4): 26-35 (2020) - [j105]Anita D. Carleton, Erin Harper, Michael R. Lyu, Sigrid Eldh, Tao Xie, Tim Menzies:
Expert Perspectives on AI. IEEE Softw. 37(4): 87-94 (2020) - [j104]