- Qualitative Clustering of Software Repositories Based ...🔍
- Qualitative Clustering of Software Repositories Based on Software ...🔍
- Hype cycle for active software repository clusters.🔍
- Clustering and Classification of Software Component for Efficient ...🔍
- Using Crowd|Based Software Repositories to Better Understand ...🔍
- Clustering Longitudinal Data🔍
- Unusual events in GitHub repositories🔍
- Clustering methodologies for software engineering🔍
Qualitative Clustering of Software Repositories Based on Software ...
Qualitative Clustering of Software Repositories Based ... - IEEE Xplore
This study is the first to apply the consensus clustering approach to analyze software repositories and one of the few to apply the consensus clustering to ...
(PDF) Qualitative Clustering of Software Repositories Based on ...
the clusters. ... provide an analysis or interpretation of the resulting clusters,. which limits the external validity of such clustering. ... the ...
Qualitative Clustering of Software Repositories Based on Software ...
For this reason, many studies analyze software repositories using methods of data analytics with a focus on clustering. Software repository clustering has been ...
Qualitative Clustering of Software Repositories Based on Software ...
Software repository clustering has been applied in studying software ecosystems such as GitHub, defect and technical debt prediction, software remodularization.
Hype cycle for active software repository clusters. - ResearchGate
For this reason, many studies analyze software repositories using methods of data analytics with a focus on clustering. Software repository clustering has been ...
Clustering and Classification of Software Component for Efficient ...
In this paper, the main idea is to cluster the software components and form a subset of libraries from the available repository. These clusters thus help in ...
Using Crowd-Based Software Repositories to Better Understand ...
... qualitative study on the commits in dotfiles repositories. We also leveraged the state-of-the-art time-series clustering technique (K-shape) to identify ...
E-SC4R: Explaining Software Clustering for Remodularisation
A framework to evaluate the effectiveness of software clustering algorithms. · Provides better understanding of the algorithms' suitability on different software ...
Clustering Longitudinal Data: A Review of Methods and Software ...
These methods are broadly classified into three categories, namely, model-based approaches, algorithm-based approaches and functional clustering ...
Unusual events in GitHub repositories - ScienceDirect.com
Qualitative Clustering of Software Repositories Based on Software Metrics. 2023, IEEE Access. Anomalicious: Automated Detection of Anomalous and Potentially ...
Clustering methodologies for software engineering
Software clustering approaches can help with the task of understanding large, complex software systems by automatically decomposing them into smaller, easier-to ...
Curating GitHub for engineered software projects using time-series ...
Depending on the classification algorithm and training dataset, the predictions of the number of such repositories ranged between 6% and 70%.
Using Clustering as a Tool: Mixed Methods in Qualitative Data ...
... computer-based ones or those traditionally used in quantitative approaches ... Clustering tools in qualitative analysis software available overly ...
A Survey on the Use of Topic Models when Mining Software ...
to mine software repositories and perform some software engineering tasks. ... LDA on the description of mobile applications, and cluster the applications based.
Qualitative Repository Analysis with RepoGrams
Based on these findings we believe that SE researchers could benefit from a tool designed to select appropriate software projects for their evaluations. Prior ...
"Using Clustering as a Tool: Mixed Methods in Qualitative Data ...
While not appropriate for all qualitative projects, cluster analysis ... Software · Volume 22, Number 13: Asian Qualitative Research ...
Software Module Clustering: An In-Depth Literature Analysis - arXiv
After constructing the fact- base, a software clustering algorithm can be applied to group entities from the factbase into useful subsystems.
Retrieving Task-Related Clusters from Change History
These questions build on previous research in repository mining for the purpose of software engineering. Others have proposed to mine software change ...
What is Cluster Analysis? Uses and Examples - Dovetail
Cluster analysis is performed with software tools. You can use ... Research repositoryQualitative data analysisUser researchVoice of ...
Automatic Identification of Similar Pull-Requests in GitHub's ... - MDPI
Clustering-Based Agglomeration Hierarchical Algorithm. As mentioned ... Software Repositories, Florence, Italy, 16–17 May 2015; pp. 367 ...