暂无分享,去创建一个
[1] Georgios Gousios,et al. Work Practices and Challenges in Pull-Based Development: The Integrator's Perspective , 2014, ICSE.
[2] Michael W. Godfrey,et al. Studying Pull Request Merges: A Case Study of Shopify's Active Merchant , 2017, 2018 IEEE/ACM 40th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP).
[3] Georgios Gousios,et al. Pull Request Decision Explained: An Empirical Overview , 2021, ArXiv.
[4] Pearl Brereton,et al. Performing systematic literature reviews in software engineering , 2006, ICSE.
[5] Ting Wang,et al. Duplicate Pull Request Detection: When Time Matters , 2019, Internetware.
[6] Gabriele Bavota,et al. A Study on the Interplay between Pull Request Review and Continuous Integration Builds , 2019, 2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER).
[7] Christoph Treude,et al. Automatic Generation of Pull Request Descriptions , 2019, 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE).
[8] Jacob Cohen. Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.
[9] Jeffrey C. Carver,et al. Impact of developer reputation on code review outcomes in OSS projects: an empirical investigation , 2014, ESEM '14.
[10] Luke Church,et al. Modern Code Review: A Case Study at Google , 2017, 2018 IEEE/ACM 40th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP).
[11] Emerson R. Murphy-Hill,et al. Investigating the Effects of Gender Bias on GitHub , 2019, 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE).
[12] Yuming Zhou,et al. The impact of continuous integration on other software development practices: A large-scale empirical study , 2017, 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE).
[13] Michael W. Godfrey,et al. The Secret Life of Patches: A Firefox Case Study , 2012, 2012 19th Working Conference on Reverse Engineering.
[14] Michael W. Godfrey,et al. Investigating technical and non-technical factors influencing modern code review , 2015, Empirical Software Engineering.
[15] Jeffrey C. Carver,et al. Are One-Time Contributors Different? A Comparison to Core and Periphery Developers in FLOSS Repositories , 2017, 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM).
[16] Gang Yin,et al. A Dataset of Duplicate Pull-Requests in GitHub , 2018, 2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR).
[17] Kathryn T. Stolee,et al. Evaluating how static analysis tools can reduce code review effort , 2017, 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC).
[18] Jacob Cohen,et al. Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .
[19] Li Zhang,et al. What are the Characteristics of Reopened Pull Requests? A Case Study on Open Source Projects in GitHub , 2019, IEEE Access.
[20] Arie van Deursen,et al. An exploratory study of the pull-based software development model , 2014, ICSE.
[21] Claes Wohlin,et al. Systematic literature studies: Database searches vs. backward snowballing , 2012, Proceedings of the 2012 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement.
[22] Øyvind Langsrud,et al. ANOVA for unbalanced data: Use Type II instead of Type III sums of squares , 2003, Stat. Comput..
[23] Georgios Gousios,et al. Automatically Prioritizing Pull Requests , 2015, 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories.
[24] Chetan Bansal,et al. Predicting pull request completion time: a case study on large scale cloud services , 2019, ESEC/SIGSOFT FSE.
[25] Gang Yin,et al. Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration , 2014, 2014 21st Asia-Pacific Software Engineering Conference.
[26] Ayushi Rastogi,et al. On the Shoulders of Giants: A New Dataset for Pull-based Development Research , 2020, 2020 IEEE/ACM 17th International Conference on Mining Software Repositories (MSR).
[27] Gang Yin,et al. Are You Still Working on This? An Empirical Study on Pull Request Abandonment , 2022, IEEE Transactions on Software Engineering.
[28] S. Apel,et al. On the Influence of Developer Coreness on Patch Acceptance: A Survival Analysis , 2020 .
[29] Daniel M. Germán,et al. Will my patch make it? And how fast? Case study on the Linux kernel , 2013, 2013 10th Working Conference on Mining Software Repositories (MSR).
[30] Uirá Kulesza,et al. Studying the Impact of Adopting Continuous Integration on the Delivery Time of Pull Requests , 2018, 2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR).
[31] Darko Marinov,et al. Usage, costs, and benefits of continuous integration in open-source projects , 2016, 2016 31st IEEE/ACM International Conference on Automated Software Engineering (ASE).
[32] James D. Herbsleb,et al. Influence of social and technical factors for evaluating contribution in GitHub , 2014, ICSE.
[33] Gang Yin,et al. Determinants of pull-based development in the context of continuous integration , 2016, Science China Information Sciences.
[34] Jia-Huan He,et al. Who should comment on this pull request? Analyzing attributes for more accurate commenter recommendation in pull-based development , 2017, Inf. Softw. Technol..
[35] Igor Steinmacher,et al. Who Gets a Patch Accepted First? Comparing the Contributions of Employees and Volunteers , 2018, 2018 IEEE/ACM 11th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE).
[36] Shinichi Nakagawa,et al. A general and simple method for obtaining R2 from generalized linear mixed‐effects models , 2013 .
[37] Premkumar T. Devanbu,et al. Wait for It: Determinants of Pull Request Evaluation Latency on GitHub , 2015, 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories.
[38] Joseph Hilbe,et al. Data Analysis Using Regression and Multilevel/Hierarchical Models , 2009 .
[39] Gang Yin,et al. Bugs and features, do developers treat them differently? , 2018, 2018 International Conference on Artificial Intelligence and Big Data (ICAIBD).