Latest News

Papers

Under Submission

• Rahul Krishna and Tim Menzies. “Simpler Transfer Learning (Using “Bellwethers”)” arXiv preprint arXiv:1703.06218 (2017). - Submitted to TSE.

• Chen, Jianfeng, et al. “Is” Sampling” better than” Evolution” for Search-based Software Engineering?.” arXiv preprint arXiv:1608.07617 (2016). - Submitted to TSE.

• Agrawal, Amritanshu, Wei Fu, and Tim Menzies. “What is Wrong with Topic Modeling?(and How to Fix it Using Search-based SE).” arXiv preprint arXiv:1608.08176 (2016). - Submitted to ICSE’17

• Wei Fu, Vivek Nair, and Tim Menzies. “Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors?” arXiv preprint arXiv:1609.02613 (2016). - Submitted to IST

Published

2017

• Rahul Krishna, Tim Menzies, and Lucas Layman. “Less is More: Minimizing Code Reorganization using XTREE” arXiv preprint arXiv:1609.03614 (2017). - Accepted for publication at IST.

• Jaechang Nam, Wei Fu, Sunghun Kim, Tim Menzies, and Lin Tan. “Heterogeneous Defect Prediction”. - Accepted for publication in TSE

• Wei Fu, and Tim Menzies. “Revisiting Unsupervised Learning for Defect Prediction”]. FSE ‘17

• Wei Fu, and Tim Menzies. “Easy over Hard: A Case Study on Deep Learning”. FSE ‘17

• Vivek Nair, Tim Menzies, Norbert Siegmund, and Sven Apel. “Using Bad Learners to find Good Configurations”. FSE ‘17

• George Mathew, Tim Menzies, Neil A. Ernst, and John Klein. “Shorter Reasoning About Larger Requirements Models”. RE ‘17

• George Mathew, Amritanshu Agrawal and Tim Menzies. “Trends in Topics at SE Conferences (1993-2013)”. ICSE ‘17

2016

• Menzies, Tim, et al. “Are Delayed Issues Harder to Resolve? Revisiting Cost-to-Fix of Defects throughout the Lifecycle.” Empirical Software Engineering. 2016.

• Tim Menzies, Ye Yang, George Mathew, Jairus Hihn and Barry Boehm. “Negative Results for Software Effort Estimation.” Empirical Software Engineering. 2016.

• Fu, Wei, Tim Menzies, and Xipeng Shen. “Tuning for software analytics: Is it really necessary?.” Information and Software Technology. 2016.

• Rahul Krishna, Tim Menzies, and Wei Fu. “Too much automation? the bellwether effect and its implications for transfer learning.” Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering. 2016.

• Nair, Vivek, Tim Menzies, and Jianfeng Chen. “An (Accidental) Exploration of Alternatives to Evolutionary Algorithms for SBSE”. Proceedings of the 8th International Symposium on Search-based Software Engineering. 2016

• Krishna, Rahul, et al. “The BigSE project: lessons learned from validating industrial text mining.” Proceedings of the 2nd International Workshop on BIG Data Software Engineering. 2016.

2015

• Krishna, Rahul, and Tim Menzies. “Actionable= Cluster+ Contrast?.” 2015 30th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW). IEEE, 2015.

• Menzies, Tim. “Cross-Project Data for Software Engineering.” Computer 48.12 (2015): 6-6.

• Hihn, Jaitus, and Tim Menzies. “Data Mining Methods and Cost Estimation Models: Why is it So Hard to Infuse New Ideas?.” 2015 30th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW). IEEE, 2015.

• Partington, S. N., Menzies, T. J., Colburn, T. A., Saelens, B. E., & Glanz, “Reduced-Item Food Audits Based on the Nutrition Environment Measures Surveys.” American journal of preventive medicine 49.4 (2015): e23-e33.

• Bird, Christian, Tim Menzies, and Thomas Zimmermann, eds. The Art and Science of Analyzing Software Data. Elsevier, 2015.

• Menzies, Tim, and Corina Pasareanu. “Guest editorial: special multi-issue on selected topics in Automated Software Engineering.” Automated Software Engineering 22.3 (2015): 289-290.

• Harrison, Rachel, and Tim Menzies. “Guest editorial: special issue on realizing AI synergies in software engineering.” Automated Software Engineering 22.1 (2015): 1-2.

• Kocaguneli, Ekrem, Tim Menzies, and Emilia Mendes. “Transfer learning in effort estimation.” Empirical Software Engineering 20.3 (2015): 813-843.

• Menzies, Tim, Leandro Minku, and Fayola Peters. “The art and science of analyzing software data; quantitative methods.” 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. Vol. 2. IEEE, 2015.

• Baresi, L., Menzies, T., Metzger, A., & Zimmermann, T. “1st international workshop on big data software engineering (BIGDSE 2015).” Proceedings of the 37th International Conference on Software Engineering-Volume 2. IEEE Press, 2015.

• Peters, Fayola, Tim Menzies, and Lucas Layman. “LACE2: better privacy-preserving data sharing for cross project defect prediction.” Proceedings of the 37th International Conference on Software Engineering-Volume 1. IEEE Press, 2015.

• Krall, Joseph, Tim Menzies, and Misty Davies. “Gale: Geometric active learning for search-based software engineering.” IEEE Transactions on Software Engineering 41.10 (2015): 1001-1018.