| Improving Vulnerability Inspection Efficiency Using Active Learning | 4 | 0.37 | 2021 |
| How to “DODGE” Complex Software Analytics | 4 | 0.36 | 2021 |
| Documenting evidence of a reuse of ‘a systematic literature review of techniques and metrics to reduce the cost of mutation testing’ | 0 | 0.34 | 2021 |
| Documenting evidence of a reuse of ‘RefactoringMiner 2.0’ | 0 | 0.34 | 2021 |
| Early Life Cycle Software Defect Prediction. Why? How? | 0 | 0.34 | 2021 |
| FRUGAL: Unlocking Semi-Supervised Learning for Software Analytics | 0 | 0.34 | 2021 |
| Learning To Recognize Actionable Static Code Warnings (Is Intrinsically Easy) | 2 | 0.49 | 2021 |
| Lessons learned from hyper-parameter tuning for microservice candidate identification | 0 | 0.34 | 2021 |
| Documenting evidence of a replication of ‘populating a release history database from version control and bug tracking systems’ | 0 | 0.34 | 2021 |
| Documenting evidence of a replication of ‘analyze this! 145 questions for data scientists in software engineering’ | 0 | 0.34 | 2021 |
| Mining Workflows for Anomalous Data Transfers | 1 | 0.35 | 2021 |
| Bias in machine learning software: why? how? what to do? | 1 | 0.36 | 2021 |
| Documenting evidence of a reproduction of ‘is there a “golden” feature set for static warning identification? — an experimental evaluation’ | 0 | 0.34 | 2021 |
| Shockingly Simple:"KEYS" for Better AI for SE | 0 | 0.34 | 2021 |
| Documenting evidence of a reuse of ‘what is a feature? a qualitative study of features in industrial software product lines’ | 0 | 0.34 | 2021 |
| Documenting evidence of a reuse of ‘“why should I trust you?”: explaining the predictions of any classifier’ | 0 | 0.34 | 2021 |
| Documenting evidence of a reuse of ‘a systematic study of the class imbalance problem in convolutional neural networks’ | 0 | 0.34 | 2021 |
| Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE | 2 | 0.35 | 2021 |
| Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing | 5 | 0.40 | 2021 |
| Assessing Practitioner Beliefs About Software Engineering | 0 | 0.34 | 2021 |
| Documenting evidence of a reuse of ‘on the number of linear regions of deep neural networks’ | 0 | 0.34 | 2021 |
| Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard | 0 | 0.34 | 2021 |
| Fairer Software Made Easier (using “Keys”) | 0 | 0.34 | 2021 |
| Finding Faster Configurations Using <sc>FLASH</sc> | 13 | 0.52 | 2020 |
| What disconnects practitioner belief and empirical evidence? | 0 | 0.34 | 2020 |
| Learning Actionable Analytics from Multiple Software Projects | 2 | 0.36 | 2020 |
| Predicting Breakdowns in Cloud Services (with SPIKE). | 1 | 0.35 | 2019 |
| iSENSE: completion-aware crowdtesting management | 3 | 0.37 | 2019 |
| FAST: An intelligent assistant for finding relevant papers. | 7 | 0.43 | 2019 |
| Sampling as a Baseline Optimizer for Search-based Software Engineering | 10 | 0.42 | 2019 |
| Beyond Evolutionary Algorithms for Search-based Software Engineering. | 4 | 0.37 | 2018 |
| Finding better active learners for faster literature reviews. | 10 | 0.44 | 2018 |
| 500+ times faster than deep learning: a case study exploring faster methods for text mining stackoverflow | 7 | 0.39 | 2018 |
| We Don't Need Another Hero? The Impact of "Heroes" on Software Development. | 12 | 0.48 | 2018 |
| Micky: A Cheaper Alternative for Selecting Cloud Instances | 3 | 0.37 | 2018 |
| RIOT: A Stochastic-Based Method for Workflow Scheduling in the Cloud | 2 | 0.35 | 2018 |
| Total Recall, Language Processing, and Software Engineering. | 2 | 0.35 | 2018 |
| Data-driven search-based software engineering | 7 | 0.40 | 2018 |
| Arrow: Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM | 8 | 0.48 | 2018 |
| “SHORT”er Reasoning About Larger Requirements Models | 5 | 0.46 | 2017 |
| Guest editorial for the Special Section on BEST PAPERS from the 2011 conference on Predictive Models in Software Engineering (PROMISE) | 0 | 0.34 | 2013 |
| Software is data too | 4 | 0.62 | 2010 |
| Explanation vs Performance in Data Mining: A Case Study with Predicting Runaway Projects | 2 | 0.37 | 2009 |
| Applications Of Abduction: Hypothesis Testing Of Neuroendocrinological Qualitative Compartmental Models | 29 | 1.23 | 1997 |
