| Watch Out for Extrinsic Bugs! A Case Study of Their Impact in Just-In-Time Bug Prediction Models on the OpenStack Project | 1 | 0.35 | 2022 |
| ApacheJIT: A Large Dataset for Just-In-Time Defect Prediction | 0 | 0.34 | 2022 |
| On the Relationship Between the Developer’s Perceptible Race and Ethnicity and the Evaluation of Contributions in OSS | 0 | 0.34 | 2022 |
| Analyzing First Contributions on GitHub: What Do Newcomers Do? | 0 | 0.34 | 2022 |
| Insights Into Nonmerged Pull Requests in GitHub: Is There Evidence of Bias Based on Perceptible Race? | 1 | 0.35 | 2021 |
| Perceived Diversity In Software Engineering: A Systematic Literature Review | 3 | 0.44 | 2021 |
| Effects of Personality Traits on Pull Request Acceptance | 4 | 0.38 | 2021 |
| Ammonia: An Approach for Deriving Project-specific Bug Patterns | 0 | 0.34 | 2020 |
| A comparison of bugs across the iOS and Android platforms of two open source cross platform browser apps | 0 | 0.34 | 2019 |
| Examining User-Developer Feedback Loops In The Ios App Store | 0 | 0.34 | 2019 |
| Open Source Vulnerability Notification. | 0 | 0.34 | 2019 |
| An empirical study of security warnings from static application security testing tools. | 0 | 0.34 | 2019 |
| Affective Dynamics and Control in Group Processes. | 0 | 0.34 | 2018 |
| Roles and impacts of hands-on software architects in five industrial case studies. | 1 | 0.34 | 2018 |
| Reconsidering Whether GOTO Is Harmful. | 0 | 0.34 | 2018 |
| Understanding the role of reporting in work item tracking systems for software development: an industrial case study. | 0 | 0.34 | 2018 |
| Do bugs foreshadow vulnerabilities? An in-depth study of the chromium project. | 3 | 0.36 | 2017 |
| Topic-based software defect explanation. | 6 | 0.49 | 2017 |
| Curating GitHub for engineered software projects. | 70 | 1.51 | 2017 |
| What Aspects of Mobile Ads Do Users Care About? An Empirical Study of Mobile In-app Ad Reviews. | 1 | 0.36 | 2017 |
| An Empirical Study on the Effect of Testing on Code Quality Using Topic Models: A Case Study on Software Development Systems. | 1 | 0.34 | 2017 |
| The Characteristics of False-Negatives in File-level Fault Prediction. | 0 | 0.34 | 2017 |
| Evaluating State-of-the-Art Free and Open Source Static Analysis Tools Against Buffer Errors in Android Apps | 1 | 0.34 | 2017 |
| A Large-Scale Study on the Usage of Testing Patterns that Address Maintainability Attributes (Patterns for Ease of Modification, Diagnoses, and Comprehension). | 2 | 0.51 | 2017 |
| Thresholds for Size and Complexity Metrics: A Case Study from the Perspective of Defect Density | 4 | 0.37 | 2016 |
| Identifying and understanding header file hotspots in C/C++ build processes | 5 | 0.42 | 2016 |
| Examining the Relationship between FindBugs Warnings and App Ratings. | 7 | 0.42 | 2016 |
| Examining the Rating System Used in Mobile-App Stores. | 8 | 0.44 | 2016 |
| Analyzing Ad Library Updates in Android Apps. | 5 | 0.41 | 2016 |
| Future Trends in Software Engineering Research for Mobile Apps | 17 | 0.86 | 2016 |
| What went right and what went wrong: an analysis of 155 postmortems from game development. | 14 | 0.74 | 2016 |
| Leaders of Tomorrow on the Future of Software Engineering: A Roundtable. | 4 | 0.57 | 2016 |
| Studying the relationship between source code quality and mobile platform dependence | 16 | 0.66 | 2015 |
| Replicating and Re-Evaluating the Theory of Relative Defect-Proneness | 7 | 0.42 | 2015 |
| Big(ger) data in software engineering | 0 | 0.34 | 2015 |
| Mobile App Store Analytics (NII Shonan Meeting 2015-15). | 0 | 0.34 | 2015 |
| An empirical study of goto in C code from GitHub repositories | 9 | 0.52 | 2015 |
| What are the characteristics of high-rated apps? A case study on free Android Applications | 48 | 1.17 | 2015 |
| Studying the impact of evolution in R libraries on software engineering research | 0 | 0.34 | 2015 |
| An empirical study of goto in C code | 1 | 0.37 | 2015 |
| A Large-Scale Empirical Study of the Relationship between Build Technology and Build Maintenance | 23 | 0.86 | 2015 |
| Do bugs foreshadow vulnerabilities?: a study of the Chromium project | 16 | 0.64 | 2015 |
| What Do Mobile App Users Complain About? | 92 | 2.13 | 2015 |
| Truth in advertising: the hidden cost of mobile ads for software developers | 50 | 1.21 | 2015 |
| The Uniqueness of Changes: Characteristics and Applications | 13 | 0.54 | 2015 |
| Towards improving statistical modeling of software engineering data: think locally, act globally! | 10 | 0.45 | 2015 |
| An empirical study of dormant bugs | 25 | 0.70 | 2014 |
| Mining Co-change Information to Understand When Build Changes Are Necessary | 21 | 0.65 | 2014 |
| A Large-Scale Empirical Study on Software Reuse in Mobile Apps | 26 | 0.88 | 2014 |
| Understanding Log Lines Using Development Knowledge | 16 | 0.67 | 2014 |
