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Reliability Modeling for Embedded System Environment compared to available Software Reliability Growth Models

Software plays a vital role in almost all of the embedded systems and systems that are mission-critical including aircrafts, automobile, nuclear power plants and various robotic medical applications[1]. Apart from the functional complexity of software, the associated reliability of embedded software systems has become an important area of concern. Various techniques are being devised to predict the quality of a software system from its designed structure, which include functional fields like overall reliability of the system, safety for human beings in life critical real time applications, operative environment and working performance. However, the findings of these quantitative structural measures depend on estimating the designing time for a group of predefined parameters. To sort out this problem, this paper presents a new design-time structural and optimization technique that includes uncertainties of parameters. The work mainly concentrates upon various structured reliability prediction models and the Embedded System. It proposes a model of reliability for predicting, calculating and controlling reliability of Embedded Software system where a series of parameters have to be predicted corresponding to various different uncertain factors.