As rise in the cost and crises of energy, environmental behaviors pay immense attention to green computing approach to cope with the issues of energy crises. The goal of green computing is to sustain the environment eco-friendly and to make the system energy efficient. Green computing holds the field of computing as well as electronic component. Green computing is used to reduce the harmful use of computing and its relevant loss of energy and its impact on environment. Manufacturing, design, uses and implements the structure of computer in the global issue in the current generation. To solve this type of issues green computing is backbone in the field of computing. To prevent the waste use of energy consumption and carbon emission, an origin of green and safe computing is formulated application for green computing and analyzed for future impact. Green computing refers to supporting business essential computing system with least feasible amount of power or sustainable computing environment, conditions, energy efficiency and performance. The computer is not used only in offices but, everywhere such as in domestic and public. The approach as the healthy use of computers widely, provides the basic principle against the term drain away type of energy consumption. Through the development of programming codes which uses hardware, the goal can be achieved and green computing we can reduce resource consumptions and disposal of electronic waste that has impacts on the health. The goal of green computing is similar to green chemistry that reduces the use of hazardous material. This research conveys a survey to energy and health crises because of the computer systems, and introduces some better precautions to deal with the issues.

Reverse Engineering is the process which recovers the design artifacts of a software system by using its Size of source code, Available source code type, Abstraction level, Documentation type support. This research focus on the different case studies of recovery of Metrics and is elaborated by using the method of Reverse Engineering, to measure the complexity of the recovery of artifacts for the maintenance task. During this process of analyzing a subject system and in this way representation of a system is created at a higher level of abstraction. It represents an overview of the yield of reverse engineering and reviews cardinal achievement and areas of application, shedding light on key open research issues of the future.