Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.8, Issue:4)
Article Information:

Conflict Detection and Merging in Model based SCM Systems

Waqar Mehmood and Arshad Ali
Corresponding Author:  Waqar Mehmood 
Submitted: January 24, 2014
Accepted: March 08, 2014
Published: July 25, 2014
Abstract:
This study presents a fine-grained approach to the problem of conflict detection and merging in model-based Software Configuration Management (SCM) systems. Traditional SCM systems uses textual or structured data to represent models at fine-grained level. Our approach is based on defining graph structure to represent models data at fine-grained level. The approach is based on transforming the textual or structured data into graph structure and then performing the diff, merge and evolution control activities at the graph structure whereas versioning activities should remains at textual or structural representation. By doing so, at one hand we are getting the advantages of reusing the existing SCM systems for versioning purposes and on other hand avoiding the problems associated with textual or structured representation when performing rest of the SCM activities.

Key words:  Conflict detection, fine-granular representation, merging, model-based SCM, versioning , ,
Abstract PDF HTML
Cite this Reference:
Waqar Mehmood and Arshad Ali, . Conflict Detection and Merging in Model based SCM Systems. Research Journal of Applied Sciences, Engineering and Technology, (4): 471-480.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved