This repository contains the necessary data for replicating the necessary information to replicate the study of "Exploring the Notion of Risk in Reviewer Recommendation." This code extends the RelationalGit package (https://github.com/CESEL/RelationalGit) from the study of E. Mirsaeedi and P. C. Rigby [1] and adds some functionality that is needed to incorporate the concept of the fix-inducing likelihood of a project. References: [1] E. Mirsaeedi and P. C. Rigby, ‘Mitigating turnover with code review recommendation: Balancing expertise, workload, and knowledge distribution’, στο Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering, 2020
This package contains code and data to replicate the empirical and quantitative results of the paper...
This dataset contains results of two controlled experiments with students in TU Delft on the compreh...
This data set contains the results of an extensive, systematic literature review on the use of machi...
This repository contains the necessary data for replicating the necessary information to replicate t...
This package contains the dataset and the replication source code used in the experiments in the pap...
This dataset is used in the experiments in the paper "A First Look at Fairness of Automatic Code Rev...
Data for the paper: Ehsan Mirsaeedi and Peter C. Rigby. 2020. Mitigating Turnover with Code Review ...
Replication package for paper "Studying the Impact of Risk Assessment Analytics on Risk Awareness an...
Dataset for Code Review Visualization: An Exploratory Study of Collaboration, Expertise, and Workloa
Associated research group: Critical Systems Research GroupThe mantra of the PROMISE series is "repea...
This package contains the dataset used to analyze our RQs in the manuscript "The Role of Code Review...
The mantra of the PROMISE series is “repeatable, improv-able, maybe refutable ” software engineering...
This dataset contains all data collected to conduct the studies in Chapter 3 "Fine-Grained Just-In-T...
This is the replication package for the paper: "Predicting Design Impactful Changes in Modern Code R...
This repository provides the replication package of our paper "PREVENT: A Semi-Supervised Approach t...
This package contains code and data to replicate the empirical and quantitative results of the paper...
This dataset contains results of two controlled experiments with students in TU Delft on the compreh...
This data set contains the results of an extensive, systematic literature review on the use of machi...
This repository contains the necessary data for replicating the necessary information to replicate t...
This package contains the dataset and the replication source code used in the experiments in the pap...
This dataset is used in the experiments in the paper "A First Look at Fairness of Automatic Code Rev...
Data for the paper: Ehsan Mirsaeedi and Peter C. Rigby. 2020. Mitigating Turnover with Code Review ...
Replication package for paper "Studying the Impact of Risk Assessment Analytics on Risk Awareness an...
Dataset for Code Review Visualization: An Exploratory Study of Collaboration, Expertise, and Workloa
Associated research group: Critical Systems Research GroupThe mantra of the PROMISE series is "repea...
This package contains the dataset used to analyze our RQs in the manuscript "The Role of Code Review...
The mantra of the PROMISE series is “repeatable, improv-able, maybe refutable ” software engineering...
This dataset contains all data collected to conduct the studies in Chapter 3 "Fine-Grained Just-In-T...
This is the replication package for the paper: "Predicting Design Impactful Changes in Modern Code R...
This repository provides the replication package of our paper "PREVENT: A Semi-Supervised Approach t...
This package contains code and data to replicate the empirical and quantitative results of the paper...
This dataset contains results of two controlled experiments with students in TU Delft on the compreh...
This data set contains the results of an extensive, systematic literature review on the use of machi...