What Is an AI Engineer? An Empirical Analysis of Job Ads in The Netherlands | 0 | 0.34 | 2022 |
Between JIRA and GitHub: ASFBot and its Influence on Human Comments in Issue Trackers | 0 | 0.34 | 2022 |
Using Benchmarking Bots for Continuous Performance Assessment | 0 | 0.34 | 2022 |
Self-Admitted Technical Debt and comments’ polarity: an empirical study | 0 | 0.34 | 2022 |
A fine-grained data set and analysis of tangling in bug fixing commits | 0 | 0.34 | 2022 |
AI Engineering Research in Software Engineering Venues | 0 | 0.34 | 2022 |
Technical Debt Problems and Concerns | 0 | 0.34 | 2022 |
Beyond Technical Aspects: How Do Community Smells Influence the Intensity of Code Smells? | 10 | 0.54 | 2021 |
An Exploratory Study On Confusion In Code Reviews | 2 | 0.41 | 2021 |
Suitability of Optical Character Recognition (OCR) for Multi-domain Model Management. | 1 | 0.35 | 2020 |
What to Expect from Code Review Bots on GitHub? - A Survey with OSS Maintainers. | 0 | 0.34 | 2020 |
Work Practices and Perceptions from Women Core Developers in OSS Communities | 3 | 0.37 | 2020 |
Automatic Support For Multi-Domain Model Management | 0 | 0.34 | 2020 |
Action-based Recommendation in Pull-request Development | 1 | 0.35 | 2020 |
Painting Flowers: Reasons for Using Single-State State Machines in Model-Driven Engineering | 0 | 0.34 | 2020 |
Is 40 the New 60? How Popular Media Portrays the Employability of Older Software Developers | 1 | 0.36 | 2020 |
Refactoring community smells in the wild: the practitioner's field manual | 0 | 0.34 | 2020 |
Techniques for Efficient Automated Elimination of False Positives | 0 | 0.34 | 2020 |
OpenStack Gender Diversity Report. | 8 | 0.51 | 2019 |
Confusion in Code Reviews: Reasons, Impacts, and Coping Strategies | 10 | 0.47 | 2019 |
Discovering community patterns in open-source: a systematic approach and its evaluation | 6 | 0.44 | 2019 |
Does UML modeling associate with lower defect proneness?: a preliminary empirical investigation | 1 | 0.35 | 2019 |
Gender in Software Engineering | 0 | 0.34 | 2019 |
Sentiment and Emotion in Software Engineering. | 8 | 0.44 | 2019 |
Detecting code smells using machine learning techniques: Are we there yet? | 18 | 0.51 | 2018 |
Runtime Monitoring in Continuous Deployment by Differencing Execution Behavior Model. | 0 | 0.34 | 2018 |
Software Analysis, Evolution, and Reengineering, and ICT Sustainability. | 0 | 0.34 | 2018 |
Reducing user input requests to improve IT support ticket resolution process. | 0 | 0.34 | 2018 |
Is stack overflow in portuguese attractive for brazilian users? | 0 | 0.34 | 2018 |
Gender, Sentiment and Emotions, and Safety-Critical Systems. | 1 | 0.37 | 2018 |
How do community smells influence code smells? | 5 | 0.38 | 2018 |
Software Maintenance and Evolution and Automated Software Engineering. | 0 | 0.34 | 2018 |
Improving Software Maintenance Using Process Mining and Predictive Analytics | 2 | 0.39 | 2017 |
Social Debt Analytics for Improving the Management of Software Evolution Tasks. | 0 | 0.34 | 2017 |
Foreword to the SANER 2015 special issue. | 0 | 0.34 | 2017 |
A Case of Industrial vs. Open-source OCL: Not So Different After All. | 0 | 0.34 | 2017 |
Developer Turnover in Global, Industrial Open Source Projects: Insights from Applying Survival Analysis. | 11 | 0.50 | 2017 |
The impact of continuous integration on other software development practices: a large-scale empirical study. | 33 | 0.94 | 2017 |
Automated analyses of model-driven artifacts: obtaining insights into industrial application of MDE. | 1 | 0.35 | 2017 |
Tailoring complexity metrics for simulink models. | 1 | 0.42 | 2016 |
Udapt: edapt extensions for industrial application. | 0 | 0.34 | 2016 |
Assessing and improving quality of QVTo model transformations | 6 | 0.42 | 2016 |
An Empirical Study on the Usage of the Swift Programming Language | 9 | 0.50 | 2016 |
Identifying Utility Functions Using Random Forests | 2 | 0.37 | 2016 |
Survey of Approaches for Handling Static Analysis Alarms | 5 | 0.40 | 2016 |
Continuous integration in a social-coding world: Empirical evidence from GitHub. **Updated version with corrections*. | 0 | 0.34 | 2015 |
An exploratory study on exception handling bugs in Java programs | 28 | 0.80 | 2015 |
Eclipse API usage: the good and the bad | 25 | 0.75 | 2015 |
Choosing your weapons: On sentiment analysis tools for software engineering research | 24 | 0.91 | 2015 |
Gender and Tenure Diversity in GitHub Teams | 85 | 2.64 | 2015 |