A Methodology for Model-Driven Software Configuration Management Implementation and Support
Applied Information and Communication Technologies (AICT 2013) [CD-ROM] : Proceedings of the 6th International Scientific Conference 2013
Artūrs Bartusevičs

The paper presents the methodology how to implement model-driven software configuration process in projects of developing applied computer systems and software. A methodology consists few dependent blocks that together allows decrease manual works of implementation and support configuration management process. The most important blocks of the methodology are problems and actions monitoring systems in project and database of knowledge. Monitoring systems can fix all problems in project. Knowledge database consist many rules. Using forward chaining procedure become possible to generate new rules in knowledge database that helps determine is some problems depends on configuration management area and find solution of this problem. New rules generation process help to make corrections in configuration management model. Configuration management model presents all actions and relations needed for implementation of configuration process. Monitoring systems and knowledge database can change current model according to changes in project. The paper describes also risks and limitations of using this methodology and necessary researches to make this methodology useable in projects


Keywords
configuration management, model-driven process, knowledge base, monitoring systems
Hyperlink
http://aict.itf.llu.lv/files/rakstkraj/2013/Bartusevics_AICT2013.pdf

Bartusevičs, A. A Methodology for Model-Driven Software Configuration Management Implementation and Support. In: Applied Information and Communication Technologies (AICT 2013) [CD-ROM] : Proceedings of the 6th International Scientific Conference, Latvia, Jelgava, 25-26 April, 2013. Jelgava: Latvia University of Agriculture, 2013, pp.260-266. ISSN 2255-8586.

Publication language
English (en)
The Scientific Library of the Riga Technical University.
E-mail: uzzinas@rtu.lv; Phone: +371 28399196