October 8, 2023 5:24 AM |
Updated: October 8, 2023 05:31
Kompasiana is a blogging platform. This content is the responsibility of the blogger and does not represent the views of the Kompas editorial team.
photo-info">
In today’s digital era, software is the backbone of technology. From the applications that run our devices to the software that controls autonomous vehicles, everything depends on the development of powerful and efficient software. But how do scientists and researchers approach data mining from open source software repositories? How do they deal with increasingly complex workflows, methodological challenges, and reproducibility issues? This is what is discussed in the paper entitled “How are Software Repositories Mined? A Systematic Literature Review of Workflows, Methodologies, Reproducibility, and Tools.”
Unraveling the World of Software Repositories
At the start of this paper, readers are invited to enter the world of software repositories, an area that has continued to develop and mature over the last two decades. In this era, we have witnessed significant changes in version control, issue tracking tools, and the rapid growth of open source software. This introductory section carefully summarizes the evolution of the field, providing a strong overview of the changes and challenges facing researchers.
Digging Into the Literature Review
The main challenge faced in this research was how to evaluate around a thousand papers from various leading conferences. The authors carefully selected the 286 most relevant papers from the Mining Software Repository (MSR), the International Conference on Software Engineering (ICSE), and the European Software Engineering Conference and Symposium on Foundations of Software Engineering (ESECFSE). This selection process is important to ensure the relevance and accuracy of future analysis.
Challenges in Dataset Selection
One of the challenges identified in this article is the selection of data sets used in the research. In a rapidly evolving world, where open source software projects continue to grow, selecting appropriate datasets becomes important. Inappropriate selection can affect the validity and generalization of research results. The authors wisely highlight this issue, and note that some papers fail to provide sufficient instruction in data set selection. Thus, this challenge is an area that requires further attention and the development of tools to facilitate the selection of appropriate data sets.
Insufficient Reproducibility Instructions
Reproducibility is an important issue in software repository research, and this article raises significant concerns about the lack of reproducibility instructions in many papers. These shortcomings may hinder other research efforts to replicate and verify existing findings. The authors strongly emphasize the importance of providing clear instructions on reproducibility in research papers, and try to provide recommendations to address this issue. This is a very important step to improve the reliability and quality of research in mining software repositories.
Finding Solutions in Tools and Recommendations
This article not only identifies problems in research workflow, data set selection, and reproducibility, but also attempts to provide solutions. The authors suggest using existing tools, such as ghTorrent and Boa, to improve research workflows. They also provide practical recommendations for researchers to overcome the challenges they face in software repository mining. By proposing ways to improve research workflows and reproducibility, this article makes a valuable contribution to advancing the field.
Next page
2023-10-07 22:24:10
#Delving #World #Software #Repositories #Systematic #Review #Workflows #Challenges #Kompasiana.com #Kompasiana.com
