scholarly journals Excuse me, do you have a moment to talk about version control?

2017 ◽  
Author(s):  
Jennifer Bryan
Keyword(s):  
Source Code ◽  
Version Control ◽  
Statistical Research ◽  
Project Organization ◽  
Research And Teaching ◽  
Version Control System ◽  
Management Project ◽  
Data Files ◽  
Time Away

Data analysis, statistical research, and teaching statistics have at least one thing in common: these activities all produce many files! There are data files, source code, figures, tables, prepared reports, and much more. Most of these files evolve over the course of a project and often need to be shared with others, for reading or edits, as a project unfolds. Without explicit and structured management, project organization can easily descend into chaos, taking time away from the primary work and reducing the quality of the final product. This unhappy result can be avoided by repurposing tools and workflows from the software development world, namely, distributed version control. This article describes the use of the version control system Git and and the hosting site GitHub for statistical and data scientific workflows. Special attention is given to projects that use the statistical language R and, optionally, R Markdown documents. Supplementary materials include an annotated set of links to step-by-step tutorials, real world examples, and other useful learning resources.

scholarly journals Excuse me, do you have a moment to talk about version control?

2017 ◽  
Author(s):  
Jennifer Bryan
Keyword(s):  
Source Code ◽  
Version Control ◽  
Statistical Research ◽  
Project Organization ◽  
Research And Teaching ◽  
Version Control System ◽  
Management Project ◽  
Data Files ◽  
Time Away

Data analysis, statistical research, and teaching statistics have at least one thing in common: these activities all produce many files! There are data files, source code, figures, tables, prepared reports, and much more. Most of these files evolve over the course of a project and often need to be shared with others, for reading or edits, as a project unfolds. Without explicit and structured management, project organization can easily descend into chaos, taking time away from the primary work and reducing the quality of the final product. This unhappy result can be avoided by repurposing tools and workflows from the software development world, namely, distributed version control. This article describes the use of the version control system Git and and the hosting site GitHub for statistical and data scientific workflows. Special attention is given to projects that use the statistical language R and, optionally, R Markdown documents. Supplementary materials include an annotated set of links to step-by-step tutorials, real world examples, and other useful learning resources.

scholarly journals Excuse me, do you have a moment to talk about version control?

2017 ◽  
Author(s):  
Jennifer Bryan
Keyword(s):  
Source Code ◽  
Version Control ◽  
Statistical Research ◽  
Project Organization ◽  
Research And Teaching ◽  
Version Control System ◽  
Management Project ◽  
Data Files ◽  
Time Away

Data analysis, statistical research, and teaching statistics have at least one thing in common: these activities all produce many files! There are data files, source code, figures, tables, prepared reports, and much more. Most of these files evolve over the course of a project and often need to be shared with others, for reading or edits, as a project unfolds. Without explicit and structured management, project organization can easily descend into chaos, taking time away from the primary work and reducing the quality of the final product. This unhappy result can be avoided by repurposing tools and workflows from the software development world, namely, distributed version control. This article describes the use of the version control system Git and and the hosting site GitHub for statistical and data scientific workflows. Special attention is given to projects that use the statistical language R and, optionally, R Markdown documents. Supplementary materials include an annotated set of links to step-by-step tutorials, real world examples, and other useful learning resources.

scholarly journals A Prologue of Git and SVN

2019 ◽  
Vol 9 (1) ◽  
pp. 988-990
Keyword(s):  
Control System ◽  
Open Source ◽  
Control Systems ◽  
Source Code ◽  
Version Control ◽  
Control Software ◽  
The World ◽  
Revision Control ◽  
Version Control System ◽  
General Public License

Version Control Software or Revision Control Software are the most important things in the world of software development. In this paper, we have described two version control tools: Git and Apache Subversion. Git comes as free and open source code management and version control system which is disseminated with the GNU general public license. Apache Subversion abbreviated as SVN is one amongst a software versioning and revision control systems given as open source under Apache License. Git design, its functionality, and usage of Git and SVN are discussed in this paper. The goal of this research paper is to accentuate on GIT and SVN tools, evaluate and compare five version control tools to ascertain their usage and efficacy.

scholarly journals How different are different diff algorithms in Git?

2019 ◽  
Vol 25 (1) ◽  
pp. 790-823
Author(s):  
Yusuf Sulistyo Nugroho ◽  
Hideaki Hata ◽  
Kenichi Matsumoto
Keyword(s):  
Source Code ◽  
Version Control ◽  
Automatic Identification ◽  
Systematic Mapping ◽  
Patch Application ◽  
Basic Task ◽  
Manual Analysis ◽  
Version Control System ◽  
Change Identification ◽  
The Impact

Abstract Automatic identification of the differences between two versions of a file is a common and basic task in several applications of mining code repositories. Git, a version control system, has a diff utility and users can select algorithms of diff from the default algorithm Myers to the advanced Histogram algorithm. From our systematic mapping, we identified three popular applications of diff in recent studies. On the impact on code churn metrics in 14 Java projects, we obtained different values in 1.7% to 8.2% commits based on the different diff algorithms. Regarding bug-introducing change identification, we found 6.0% and 13.3% in the identified bug-fix commits had different results of bug-introducing changes from 10 Java projects. For patch application, we found that the Histogram is more suitable than Myers for providing the changes of code, from our manual analysis. Thus, we strongly recommend using the Histogram algorithm when mining Git repositories to consider differences in source code.

scholarly journals KAJIAN VERSION CONTROL DALAM MENDUKUNG KINERJA DEVELOPER PADA PT. JAWASOFT

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Nur Shobi Mabrur
Keyword(s):  
Decision Making ◽  
Control System ◽  
Analytical Hierarchy Process ◽  
Source Code ◽  
Influential Factors ◽  
Version Control ◽  
Decision Making Process ◽  
Software Developers ◽  
Version Control System ◽  
Hierarchy Process

Abstract - Version Control is a system that keeps track of the historical changes and usage of a resource within an integrated storage media. Version Control (also widely known as a Source Code Management System) is a crucial component for any team working on software development. Version control will keep a record of every single source code change to a file or document, such as historical data, comparisons between different versions, and even access rights to that file or document. A wise choice on which Version Control system to use will have a massive effect on the performance of the Software Developers. Hence many factors must be acknowledged in the process of making the decision of which product to use. The objective of this research is to find which features/attributes of a Version Control System are most influential in the aforementioned decision making process. The research explores the features/attributes inherent in three well known Version Control systems – Subversion, Mercurial and Git. This is done using ISO 9126 as a criteria. Influential factors in the decision making process are gauged using a descriptive analysis technique, and the instrument used in this case is the Analytical Hierarchy Process (AHP). Extensive questionnaire data was 'fed' into the AHP technique, and based on the results obtained, it was calculated that Subversion is the more favorable Version Control system compared to Mercurial and Git. It can thus be concluded that Subversion is the best Version Control system to support the productivity of software developers. Keywords: Version Control, Subversion, Mercurial, Git, Analytical Hierarchy Process.

JAVASCRIPT ASYNCHRONOUS PROGRAMMING

2019 ◽  
Vol 128 (2B) ◽  
pp. 5-16
Author(s):  
Tran Thanh Luong ◽  
Le My Canh
Keyword(s):  
Design Patterns ◽  
Source Code ◽  
Object Oriented ◽  
Exception Handling ◽  
Code Smells ◽  
Asynchronous Programming ◽  
Event Driven ◽  
Programming Patterns ◽  
The Impact

JavaScript has become more and more popular in recent years because its wealthy features as being dynamic, interpreted and object-oriented with first-class functions. Furthermore, JavaScript is designed with event-driven and I/O non-blocking model that boosts the performance of overall application especially in the case of Node.js. To take advantage of these characteristics, many design patterns that implement asynchronous programming for JavaScript were proposed. However, choosing a right pattern and implementing a good asynchronous source code is a challenge and thus easily lead into less robust application and low quality source code. Extended from our previous works on exception handling code smells in JavaScript and exception handling code smells in JavaScript asynchronous programming with promise, this research aims at studying the impact of three JavaScript asynchronous programming patterns on quality of source code and application.

Implementasi Version Control System untuk meningkatkan kwalitas Manajemen Proyek Sistem Informasi

2019 ◽  
Vol 5 (1) ◽  
pp. 43
Author(s):  
Is Isnardi
Keyword(s):  
Control System ◽  
Team Work ◽  
Version Control ◽  
Version Control System

Skill dan Team Work  sangat dibutuhkan demi kelancaran pekerjaan dan harmonisasi dalam menyelesaikan sebuah proyek Sistem Informasi, memperoleh keduanya dari tamatan perguran tinggi Sistem Informasi dan Manajemen Informatika hari ini sangatlah sulit, banyak perusahaan kesulitan mendapatkan tenaga yang memenuhi kriteria keduanya dari alumni Perguruan Tinggi, hal itu disebabkan oleh  tidak di persiapkan dari Perguruan Tinggi sewaktu di bangku kuliah, maka untuk mengatasi hal itu perlu di terapakan system yang bisa menggabungkan keduanya terutama pada mahasiswa jurusan informatika, pada penelitian ini penulis menerapkan <em>Version Control System </em>(VCS)<em>,  </em>dari penelitian ini mahasiswa akan terbiasa bekerja secara kalaborasi, saling memberi masukan, bekerja sesuai dengan job masing-masing, hasil kerja bisa di gabungkan, sehingga mempercepat proses penyelesaian sebuah proyek sistem informasi. Disamping itu di perlukan juga harmonisasi sebuah tim yang akan menambah semangat dan inovasi kerja, Sehingga dapat di simpulkan bahwasanya penggunaan VCS sangat membantu dalam manajemen proyek sistem informasi.

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