A Methodological Review Based Version Control System with Evolutionary Research for Software Processes
Naseem Rao, K. Chandra Sekharaiah · 2016
The constant add up of new features and bug fixes often make invariable changes and refinements inevitable in the software development at regular intervals. The software should enable the end-user to decipher the critical version information about the minutest detail in every software artifact and if it does not, no software can be called as complete or nor is it user-friendly. When developers check in the software files they have to put in the version field manually as a part of header information inside the file. It would be difficult to identify vulnerabilities in the software when the files lack embedded version information which makes it harder for the end users to accurately identify the running version of the software. How can version control system (VCS) help in optimizing the bug traceability time and bug fixing potential? Version control system (VCS) is a software application that helps in collaborative software development of software projects. In order to support this instance, we should analyze which version control system is to be considered and whether to use central repository version control system or local repository version control system. Various functional, non functional evaluation criteria and fundamental requirements like installation, configuration, learning curve, performance, commits, branching, merging, and tagging have been considered for a through comparison of many version control systems. In this paper, we review and analyze the currently used VCS that involved in a view of a collaborative software development for software evolution. And an attempt has also been made to identify the version information in every deliverable file or retain it with the source. We demonstrate and perform survey on current versioning systems like Concurrent Version Control System (CVS), Subversion (SVN), Team Foundation Server (TFS), Git, ACME, Visual Source Safe(VSS), Mercurial and Clear Case, etc. that offers opportunities to test produced results and validate.