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Publikācija: Model-Driven Conception for Planning and Implementation of Software Configuration Management

Publication Type Publication (anonimusly reviewed) in a journal with an international editorial board indexed in other databases
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Model-Driven Conception for Planning and Implementation of Software Configuration Management
Field of research 1. Natural sciences
Sub-field of research 1.2 Computer and information sciences
Research platform None
Authors Artūrs Bartusevičs
Leonīds Novickis
Keywords Software Configuration Management, Model- Driven Approach, Environment Model, Model Transformation
Abstract Software Configuration Management controls evolution of software development process to include only valid configuration items in the final product. To establish this control, a set of tasks should be implemented in software development project: version control, build and deploy management, source code management etc. Usually companies already have tools and solutions to implement mentioned tasks. The main challenge is an implementation of software configuration management tasks in new projects. This implementation should be done with minimum additional efforts and customization using existing solutions and tools where it is possible. The study offers novel model-driven approach for planning and implementation of software configuration management using models with different level of abstraction. Firstly, meta-model for general model-driven approach is provided. Using this meta-model, three different models are developed for planning and implementation of software configuration management. Finally, simplified use case provided to describe designed models from practical side and direction of further works are underlined.
Hyperlink: http://www.naun.org/main/NAUN/computers/2015/a182007-157.pdf 
Reference Bartusevičs, A., Novickis, L. Model-Driven Conception for Planning and Implementation of Software Configuration Management. International Journal of Computers, 2015, Vol. 9, No. 1, pp.62-72. ISSN 1998-4308.
ID 20620