Software Engineering

Software Engineering

Review Report

Today software intensive systems are coped with software's ability to adapt to changing needs of user, resource variability, changing operational environment, and system intrusions or faults. These self adaptive systems have the ability to recover, protect and optimize themselves by keeping their complexity hidden. In this paper, we will discuss an article which presents research road map for implementing self adaptive software systems. The article also focuses on the four views of self adaptive system which are: requirements, modelling, engineering, and assurance.

For empirical software engineering, it is problematic to select a research method because benefits and challenges in order to build and manage software systems, to using each method of software evolution systems are not yet well catalogued. The continuous software evolution system is done to obtain versatile, configurable, energy efficient, and recoverable software. The paper adapts a number of available empirical techniques of research method. The research paper is developed to discuss the outcomes of the previous research conducted on software engineering. The idea behind the paper is to discuss and evaluate its critical challenges, its limitations with the current state of the art for the self adaptive software engineering systems. To understand the challenges against the road map of self adaptive software systems, four views are identified as requirements, modelling, engineering, and assurance.

Research suggests that motivating factors are evolving in software engineering and that our current adoption of Self adaptive systems for software engineering has been a significant challenge. Many attempts have been made to provision of self adaption by establishing different approaches of software engineering. This research paper has been considered as a research road map in order to execute self adaptive software engineering methods. Different perspectives can be used for the development of self adaptive systems. In terms of the individual system, ...