Maintenance assessment guidelines for autonomic system using ANP approach

Abstract

Autonomic Computing based development is emerging in the IT sector which performs software management intelligently. As a result, the software development team are now using their efficiency more on developing high-performance optimal software rather than on maintenance task. This concept was introduced by IBM & now the development has reached a stage where autonomicity of particular autonomic application may also be determined. In this paper, System Autonomicity Level has been estimated as one of the objective using Analytical Network Process applied on our proposed Maintenance Model. Further, some guidelines for the maintenance of autonomic systems are also explored. Using these guidelines, the domain-specific development and maintenance process may be handled in such a way that it will save time and cost required for developing such systems. These guidelines also work as pre-post guidelines in Software Development Life Cycle. Testing phase may also become efficient using proposed domain specific maintenance guidelines.

Keywords:

• Autonomicity
• Self-management
• Maintenance Assessment Model
• Analytical Network Process