Publications
Click headers to sort the table.
Post new papers using this link (permission required)
| Conference/Journal | Year | Authors | Title (link) |
|---|---|---|---|
| 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 SEIP'18 | 2018 | Akond Rahman, Amritanshu Agrawal, Rahul Krishna, Alexander Sobran, Tim Menzies | "Doing" Agile versus "Being" Agile. Empirical Results from 250+ Project |
| 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" |
| Under Submission | 2017 | Zhe Yu, Christopher Theisen, Hyunwoo Sohn, Laurie Williams, Tim Menzies | Cost-aware Vulnerability Prediction: the HARMLESS Approach |
| Under Submission | 2017 | Zhe Yu and Tim Menzies | FAST2: a Better Text Miner for Faster Understanding of the SE Literature |
| 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 |
| 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 |
© Creative Commons Attribution 4.0 International License.
Design: