| Year |
Citation |
Score |
| 2019 |
Krishna R, Menzies T. Bellwethers: A Baseline Method for Transfer Learning Ieee Transactions On Software Engineering. 45: 1081-1105. DOI: 10.1109/Tse.2018.2821670 |
0.437 |
|
| 2019 |
Choetkiertikul M, Dam HK, Tran T, Pham T, Ghose A, Menzies T. A Deep Learning Model for Estimating Story Points Ieee Transactions On Software Engineering. 45: 637-656. DOI: 10.1109/Tse.2018.2792473 |
0.461 |
|
| 2019 |
Chen J, Nair V, Krishna R, Menzies T. “Sampling” as a Baseline Optimizer for Search-Based Software Engineering Ieee Transactions On Software Engineering. 45: 597-614. DOI: 10.1109/Tse.2018.2790925 |
0.409 |
|
| 2019 |
Menzies T, Shepperd MJ. “Bad Smells” in Software Analytics Papers Information & Software Technology. 112: 35-47. DOI: 10.1016/J.Infsof.2019.04.005 |
0.393 |
|
| 2019 |
Yu Z, Menzies T. FAST2: An intelligent assistant for finding relevant papers Expert Systems With Applications. 120: 57-71. DOI: 10.1016/J.Eswa.2018.11.021 |
0.34 |
|
| 2018 |
Yu Z, Menzies T. Total recall, language processing, and software engineering Arxiv: Software Engineering. 10-13. DOI: 10.1145/3283812.3283818 |
0.366 |
|
| 2018 |
Nam J, Fu W, Kim S, Menzies T, Tan L. Heterogeneous Defect Prediction Ieee Transactions On Software Engineering. 44: 874-896. DOI: 10.1109/Tse.2017.2720603 |
0.354 |
|
| 2018 |
Menzies T, Zimmermann T. Software Analytics: What’s Next? Ieee Software. 35: 64-70. DOI: 10.1109/Ms.2018.290111035 |
0.405 |
|
| 2018 |
Menzies T. The Unreasonable Effectiveness of Software Analytics Ieee Software. 35: 96-98. DOI: 10.1109/Ms.2018.1661323 |
0.349 |
|
| 2018 |
Petke J, Menzies T. Guest Editorial for the Special Section from the 9th International Symposium on Search Based Software Engineering Information & Software Technology. 104: 194-194. DOI: 10.1016/J.Infsof.2018.10.002 |
0.316 |
|
| 2018 |
Agrawal A, Fu W, Menzies T. What is wrong with topic modeling? And how to fix it using search-based software engineering Information & Software Technology. 98: 74-88. DOI: 10.1016/J.Infsof.2018.02.005 |
0.449 |
|
| 2018 |
Yu Z, Kraft NA, Menzies T. Finding better active learners for faster literature reviews Empirical Software Engineering. 23: 3161-3186. DOI: 10.1007/S10664-017-9587-0 |
0.318 |
|
| 2017 |
Prikladnicki R, Menzies T. From Voice of Evidence to Redirections Ieee Software. 35: 11-13. DOI: 10.1109/Ms.2017.4541053 |
0.307 |
|
| 2017 |
Yang Y, Falessi D, Menzies T, Hihn J. Actionable Analytics for Software Engineering Ieee Software. 35: 51-53. DOI: 10.1109/Ms.2017.4541039 |
0.386 |
|
| 2017 |
Chen J, Nair V, Menzies T. Beyond evolutionary algorithms for search-based software engineering Information & Software Technology. 95: 281-294. DOI: 10.1016/J.Infsof.2017.08.007 |
0.346 |
|
| 2017 |
Menzies T, Nichols W, Shull F, Layman L. Are delayed issues harder to resolve? Revisiting cost-to-fix of defects throughout the lifecycle Empirical Software Engineering. 22: 1903-1935. DOI: 10.1007/S10664-016-9469-X |
0.364 |
|
| 2016 |
Krall J, Menzies T, Davies M. Learning Mitigations for Pilot Issues When Landing Aircraft (via Multiobjective Optimization and Multiagent Simulations) Ieee Transactions On Human-Machine Systems. DOI: 10.1109/Thms.2015.2509980 |
0.572 |
|
| 2016 |
Fu W, Menzies T, Shen X. Tuning for software analytics: Is it really necessary? Information and Software Technology. 76: 135-146. DOI: 10.1016/J.Infsof.2016.04.017 |
0.419 |
|
| 2016 |
Menzies T, Yang Y, Mathew G, Boehm B, Hihn J. Negative results for software effort estimation Empirical Software Engineering. 22: 2658-2683. DOI: 10.1007/S10664-016-9472-2 |
0.458 |
|
| 2015 |
Krall J, Menzies T, Davies M. GALE: Geometric active learning for search-based software engineering Ieee Transactions On Software Engineering. 41: 1001-1018. DOI: 10.1109/Tse.2015.2432024 |
0.591 |
|
| 2015 |
Menzies T. Cross-project data for software engineering Computer. 48: 6. DOI: 10.1109/Mc.2015.381 |
0.366 |
|
| 2015 |
Menzies T, Minku L, Peters F. The Art and Science of Analyzing Software Data; Quantitative Methods Proceedings - International Conference On Software Engineering. 2: 959-960. DOI: 10.1109/ICSE.2015.306 |
0.317 |
|
| 2015 |
Kocaguneli E, Menzies T, Mendes E. Transfer learning in effort estimation Empirical Software Engineering. 20: 813-843. DOI: 10.1007/S10664-014-9300-5 |
0.753 |
|
| 2014 |
Partington SN, Papakroni V, Menzies T. Optimizing data collection for public health decisions: a data mining approach. Bmc Public Health. 14: 593. PMID 24919484 DOI: 10.1186/1471-2458-14-593 |
0.333 |
|
| 2014 |
Menzies T, Mernik M. Special issue on realizing artificial intelligence synergies in software engineering Software Quality Journal. 22: 49-50. DOI: 10.1007/S11219-014-9228-4 |
0.368 |
|
| 2014 |
Krall J, Menzies T, Davies M. Learning the task management space of an aircraft approach model Aaai Spring Symposium - Technical Report. 21-26. |
0.537 |
|
| 2013 |
Jiang Y, Cukic B, Menzies T, Lin J. Incremental development of fault prediction models International Journal of Software Engineering and Knowledge Engineering. 23: 1399-1425. DOI: 10.1142/S0218194013500447 |
0.35 |
|
| 2013 |
Peters F, Menzies T, Gong L, Zhang H. Balancing Privacy and Utility in Cross-Company Defect Prediction Ieee Transactions On Software Engineering. 39: 1054-1068. DOI: 10.1109/Tse.2013.6 |
0.519 |
|
| 2013 |
Menzies T, Brady A, Keung J, Hihn J, Williams S, El-Rawas O, Green P, Boehm B. Learning Project Management Decisions: A Case Study with Case-Based Reasoning versus Data Farming Ieee Transactions On Software Engineering. 39: 1698-1713. DOI: 10.1109/Tse.2013.43 |
0.428 |
|
| 2013 |
Kocaguneli E, Menzies T, Keung J, Cok D, Madachy R. Active Learning and effort estimation: Finding the essential content of software effort estimation data Ieee Transactions On Software Engineering. 39: 1040-1053. DOI: 10.1109/Tse.2012.88 |
0.769 |
|
| 2013 |
Menzies T, Butcher A, Cok D, Marcus A, Layman L, Shull F, Turhan B, Zimmermann T. Local versus Global Lessons for Defect Prediction and Effort Estimation Ieee Transactions On Software Engineering. 39: 822-834. DOI: 10.1109/Tse.2012.83 |
0.406 |
|
| 2013 |
Menzies T, Zimmermann T. Software analytics: So what? Ieee Software. 30: 31-37. DOI: 10.1109/Ms.2013.86 |
0.342 |
|
| 2013 |
Menzies T. Beyond data mining Ieee Software. 30. DOI: 10.1109/Ms.2013.49 |
0.388 |
|
| 2013 |
Menzies T, Zimmermann T. The many faces of software analytics Ieee Software. 30: 28-29. DOI: 10.1109/Ms.2013.114 |
0.308 |
|
| 2013 |
Bird C, Menzies T, Zimmermann T. 1st International workshop on data analysis patterns in software engineering (DAPSE 2013) Proceedings - International Conference On Software Engineering. 1517-1518. DOI: 10.1109/ICSE.2013.6606765 |
0.302 |
|
| 2013 |
Menzies T, Kocaguneli E, Peters F, Turhan B, Minku LL. Data science for software engineering Proceedings - International Conference On Software Engineering. 1484-1486. DOI: 10.1109/ICSE.2013.6606752 |
0.757 |
|
| 2013 |
Kocaguneli E, Zimmermann T, Bird C, Nagappan N, Menzies T. Distributed development considered harmful? Proceedings - International Conference On Software Engineering. 882-890. DOI: 10.1109/ICSE.2013.6606637 |
0.708 |
|
| 2013 |
Kocaguneli E, Menzies T. Software effort models should be assessed via leave-one-out validation Journal of Systems and Software. 86: 1879-1890. DOI: 10.1016/J.Jss.2013.02.053 |
0.736 |
|
| 2013 |
Menzies T. Guest editorial for the special section on BEST PAPERS from the 2011 conference on Predictive models in software engineering (PROMISE) Information and Software Technology. 55: 1477-1478. DOI: 10.1016/J.Infsof.2013.03.006 |
0.348 |
|
| 2013 |
Menzies T, Koru G. Predictive models in software engineering Empirical Software Engineering. 18: 433-434. DOI: 10.1007/S10664-013-9252-1 |
0.415 |
|
| 2013 |
Kocaguneli E, Menzies T, Keung JW. Kernel methods for software effort estimation: Effects of different kernel functions and bandwidths on estimation accuracy Empirical Software Engineering. 18: 1-24. DOI: 10.1007/S10664-011-9189-1 |
0.752 |
|
| 2013 |
Keung J, Kocaguneli E, Menzies T. Finding conclusion stability for selecting the best effort predictor in software effort estimation Automated Software Engineering. 20: 543-567. DOI: 10.1007/s10515-012-0108-5 |
0.738 |
|
| 2012 |
Krall J, Menzies T. Aspects of Replayability and Software Engineering: Towards a Methodology of Developing Games Journal of Software Engineering and Applications. 5: 459-466. DOI: 10.4236/Jsea.2012.57052 |
0.582 |
|
| 2012 |
Kocaguneli E, Menzies T, Hihn J, Kang BH. Size doesn't matter? On the value of software size features for effort estimation Acm International Conference Proceeding Series. 89-98. DOI: 10.1145/2365324.2365336 |
0.713 |
|
| 2012 |
Borges R, Menzies T. Learning to change projects Acm International Conference Proceeding Series. 11-18. DOI: 10.1145/2365324.2365328 |
0.332 |
|
| 2012 |
Harrison R, Cruz Dd, Henriques P, Pereira MJV, Liu S, Menzies T, Mernik M, Rodriguez D. Report from the first international workshop on realizing artificial intelligence synergies in software engineering (RAISE 2012) Acm Sigsoft Software Engineering Notes. 37: 34-35. DOI: 10.1145/2347696.2347697 |
0.346 |
|
| 2012 |
Lumpe M, Vasa R, Menzies T, Rush R, Turhan B. Learning better inspection optimization policies International Journal of Software Engineering and Knowledge Engineering. 22: 621-644. DOI: 10.1142/S0218194012500179 |
0.32 |
|
| 2012 |
Kocaguneli E, Menzies T, Bener AB, Keung JW. Exploiting the essential assumptions of analogy-based effort estimation Ieee Transactions On Software Engineering. 38: 425-438. DOI: 10.1109/Tse.2011.27 |
0.759 |
|
| 2012 |
Kocaguneli E, Menzies T, Keung JW. On the value of ensemble effort estimation Ieee Transactions On Software Engineering. 38: 1403-1416. DOI: 10.1109/Tse.2011.111 |
0.743 |
|
| 2012 |
Menzies T, Shepperd M. Special issue on repeatable results in software engineering prediction Empirical Software Engineering. 17: 1-17. DOI: 10.1007/S10664-011-9193-5 |
0.407 |
|
| 2012 |
Bener A, Menzies T. Guest editorial: Learning to organize testing Automated Software Engineering. 19: 137-140. DOI: 10.1007/s10515-011-0095-y |
0.318 |
|
| 2011 |
Haapio T, Menzies T. Exploring the effort of general software project activities with data mining International Journal of Software Engineering and Knowledge Engineering. 21: 725-753. DOI: 10.1142/S0218194011005438 |
0.457 |
|
| 2011 |
Andrews JH, Menzies T, Li FCH. Genetic Algorithms for Randomized Unit Testing Ieee Transactions On Software Engineering. 37: 80-94. DOI: 10.1109/Tse.2010.46 |
0.31 |
|
| 2011 |
Nandeshwar A, Menzies T, Nelson A. Learning patterns of university student retention Expert Systems With Applications. 38: 14984-14996. DOI: 10.1016/J.Eswa.2011.05.048 |
0.685 |
|
| 2011 |
Nelson A, Menzies T, Gay G. Sharing experiments using open-source software Software - Practice and Experience. 41: 283-305. DOI: 10.1002/Spe.1004 |
0.334 |
|
| 2011 |
Kocaguneli E, Menzies T. How to find relevant data for effort estimation? International Symposium On Empirical Software Engineering and Measurement. 255-264. |
0.751 |
|
| 2010 |
Brady A, Menzies T, El-Rawas O, Kocaguneli E, Keung JW. Case-Based Reasoning for Reducing Software Development Effort Journal of Software Engineering and Applications. 3: 1005-1014. DOI: 10.4236/Jsea.2010.311118 |
0.766 |
|
| 2010 |
Marcus A, Menzies T. Software is data too Proceedings of the Fse/Sdp Workshop On the Future of Software Engineering Research, Foser 2010. 229-231. DOI: 10.1145/1882362.1882410 |
0.308 |
|
| 2010 |
Kocaguneli E, Gay G, Menzies T, Yang Y, Eung JWK. When to use data from other projects for effort estimation Ase'10 - Proceedings of the Ieee/Acm International Conference On Automated Software Engineering. 321-324. DOI: 10.1145/1858996.1859061 |
0.74 |
|
| 2010 |
Tosun A, Bener A, Turhan B, Menzies T. Practical considerations in deploying statistical methods for defect prediction: A case study within the Turkish telecommunications industry Information & Software Technology. 52: 1242-1257. DOI: 10.1016/J.Infsof.2010.06.006 |
0.429 |
|
| 2009 |
Turhan B, Menzies T, Bener AB, Stefano JD. On the relative value of cross-company and within-company data for defect prediction Empirical Software Engineering. 14: 540-578. DOI: 10.1007/S10664-008-9103-7 |
0.368 |
|
| 2009 |
Etzkorn L, Menzies T. Special issue on information retrieval for program comprehension Empirical Software Engineering. 14: 1-4. DOI: 10.1007/S10664-008-9097-1 |
0.321 |
|
| 2009 |
Menzies T, Williams S, Elrawas O, Baker D, Boehm B, Hihn J, Lum K, Madachy R. Accurate estimates without local data Software Process: Improvement and Practice. 14: 213-225. DOI: 10.1002/Spip.V14:4 |
0.351 |
|
| 2008 |
Feather MS, Cornford SL, Hicks KA, Kiper JD, Menzies T. A broad, quantitative model for making early requirements decisions Ieee Software. 25: 49-56. DOI: 10.1109/Ms.2008.29 |
0.324 |
|
| 2008 |
Menzies T, Benson M, Costello K, Moats C, Northey M, Richardson J. Learning better IV&V practices Innovations in Systems and Software Engineering. 4: 169-183. DOI: 10.1007/S11334-008-0046-3 |
0.332 |
|
| 2008 |
Menzies T. Editorial, special issue, repeatable experiments in software engineering Empirical Software Engineering. 13: 469-471. DOI: 10.1007/S10664-008-9087-3 |
0.313 |
|
| 2007 |
Menzies T, Dekhtyar A, Distefano J, Greenwald J. Problems with precision: A response to "Comments on 'data mining static code attributes to learn defect predictors'" Ieee Transactions On Software Engineering. 33: 637-640. DOI: 10.1109/Tse.2007.70721 |
0.349 |
|
| 2007 |
Menzies T, Greenwald J, Frank A. Data mining static code attributes to learn defect predictors Ieee Transactions On Software Engineering. 33: 2-13. DOI: 10.1109/Tse.2007.10 |
0.321 |
|
| 2007 |
Menzies T, Owen D, Richardson J. The strangest thing about software Computer. 40: 54-60. DOI: 10.1109/Mc.2007.37 |
0.347 |
|
| 2006 |
Menzies T, Chen Z, Hihn J, Lum K. Selecting Best Practices for Effort Estimation Ieee Transactions On Software Engineering. 32: 883-895. DOI: 10.1109/Tse.2006.114 |
0.442 |
|
| 2006 |
Menzies T, Hu Y. Just enough learning (of association rules): The TAR2 "treatment" learner Artificial Intelligence Review. 25: 211-229. DOI: 10.1007/S10462-007-9055-0 |
0.314 |
|
| 2005 |
Chen Z, Menzies T, Port D, Boehm D. Finding the right data for software cost modeling Ieee Software. 22: 38-46. DOI: 10.1109/Ms.2005.151 |
0.382 |
|
| 2003 |
Menzies T, Di Stefano JS. More success and failure factors in software reuse Ieee Transactions On Software Engineering. 29: 474-477. DOI: 10.1109/Tse.2003.1199076 |
0.321 |
|
| 2003 |
Menzies T. 21st-Century AI: Proud, Not Smug Ieee Intelligent Systems. 18: 18-24. DOI: 10.1109/Mis.2003.1200723 |
0.356 |
|
| 2003 |
Menzies T, Hu Y. Data Mining for Very Busy People Computer. 36: 22-29+4. DOI: 10.1109/Mc.2003.1244531 |
0.339 |
|
| 2003 |
Menzies T. Editorial: model-based requirements engineering Requirements Engineering. 8: 193-194. DOI: 10.1007/S00766-002-0156-7 |
0.306 |
|
| 2002 |
Chiang E, Menzies T. Simulations for very early lifecycle quality evaluations Software Process: Improvement and Practice. 7: 141-159. DOI: 10.1002/Spip.161 |
0.348 |
|
| 2002 |
Di Stefano JS, Menzies T. Machine learning for software engineering: Case studies in software reuse Proceedings of the International Conference On Tools With Artificial Intelligence. 246-251. |
0.313 |
|
| 2001 |
Menzies T, Singh H. How AI can help SE; or: Randomized search not considered harmful Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2056: 100-110. DOI: 10.1007/3-540-45153-6_10 |
0.356 |
|
| 2000 |
Menzies T, Cukic B. When to test less Ieee Software. 17: 107-112. DOI: 10.1109/52.877876 |
0.305 |
|
| 2000 |
Kalfoglou Y, Menzies T, Althoff K, Motta E. Meta-knowledge in systems design: panacea … or undelivered promise? Knowledge Engineering Review. 15: 381-404. DOI: 10.1017/S0269888900004033 |
0.32 |
|
| 1999 |
Menzies T. Cost benefits of ontologies Intelligence. 10: 26-32. DOI: 10.1145/318964.318969 |
0.373 |
|
| 1999 |
Menzies T, Easterbrook S, Nuseibeh B, Waugh S. An empirical investigation of multiple viewpoint reasoning in requirements engineering Requirements Engineering. 100-109. DOI: 10.1109/Isre.1999.777990 |
0.324 |
|
| 1999 |
Menzies T, Harmelen FV. Editorial: Evaluating knowledge engineering techniques International Journal of Human-Computer Studies \/ International Journal of Man-Machine Studies. 51: 715-727. DOI: 10.1006/Ijhc.1999.0336 |
0.316 |
|
| 1997 |
Menzies T, Compton P. Applications of abduction: hypothesis testing of neuroendocrinological qualitative compartmental models. Artificial Intelligence in Medicine. 10: 145-75. PMID 9201384 DOI: 10.1016/S0933-3657(97)00391-6 |
0.32 |
|
| 1996 |
Menzies T. Applications of abduction: Knowledge-level modelling International Journal of Human Computer Studies. 45: 305-335. DOI: 10.1006/Ijhc.1996.0054 |
0.329 |
|
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