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Worldwide, new devices in every sphere of the walk are emerging daily, and a more significant percentage of them are software-driven. Consequently, the software development process is prone to errors, bugs, and frequent changes to the requirements and the software leading to abnormal deviation in time to deliver. Another aspect being considered is the security of the software at the time of (Software Development Life Cycle) SDLC. As a part of secure software engineering, the model transformation involves the security aspects in the early phases of SDLC. Hence, Automation of the software development process, though not entirely, is inevitable. In this research, platform-independent models are generated with security attributes such as Integrity, Privacy, Security Audit, non-repudiation, and authentication. A template-based source code generator is used to produce the structure of the source model. The Secure Business Process Model (SBPM) has a set of Unified Modeling Language (UML) artifacts such as analysis level classes and sequence diagrams with security attributes by taking the activity model as a source. Security requirements are associated with elements extracted from the source model. Structural codes for the source model with security-enabled members are generated.

Fault-tolerance is significant in pervasive computing environments. Recently, few research works has been developed for reducing the fault, occurring in pervasive computing. However, there is a need for a fault tolerance mechanism to reduce the link failures and unwanted mobile node access (in pervasive computing environment). In order to overcome these limitations, Markov State Transition Based Fault Tolerance (MST-FT) Model is proposed. The main objective of MST-FT Model is to achieve resource efficient QoS in pervasive computing environment by avoiding the link failures and unwanted mobile node usages. Initially, the optimization of link failures is achieved by maintaining Markov chain of high energy mobile nodes on the wireless network communication path. The mobile nodes with higher energy and minimal drain rate are combined to form a chain in its corresponding path of communication in order to minimize the link failures in pervasive computing. Next, the inappropriate mobile node usage is avoided by selecting only the authorized mobile nodes for Markov chain construction to effective network communication, which resulting in improved fault tolerant rate. Therefore, MST-FT Model provides higher resource efficient QoS as compared to existing works. The performance of MST-FT Model is measured in terms of fault tolerant rate, execution time, energy consumption rate and quality of service level. The simulation results show that the MST-FT Model is able to improve the fault tolerant rate by 13% and also reduces the energy consumption rate of resource efficient QoS by 25%, when compared to previous works.