Programs
- Ph. D. in Mechanical Engineering -
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
Publication Type : Conference Proceedings
Publisher : World Congress on Information and Communication Technologies
Source : 2012 World Congress on Information and Communication Technologies (2012)
Url : https://ieeexplore.ieee.org/document/6409143
Keywords : ant colony metaheuristic approach, Ant colony optimisation, ant colony optimization algorithm, commercial software systems, Communications technology, computer relay software, Computers, Decision support systems, fault handling, governmental software systems, hardware reliability, optimal reliability assessment, power system transmission lines, power transmission faults, Power transmission lines, program testing, Redundancy, redundancy allocation problem, Relays, Software, Software design, software development, software RAP, Software reliability, Software testing, SRAP, system cost, Ubiquitous computing
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2012
Abstract : With the all pervasive presence of computers to all aspects of life, software reliability assessment is assuming a position of utmost importance. Moreover many commercial and governmental software systems require high mission reliability requiring both hardware and the software to be very reliable. Software reliability is acknowledged to perk up with the amount of testing efforts invested, which in turn reduces the cost of software development and in turn system cost. The scale of redundancy employed affects reliability favorably, while increasing the cost of software design and development. This paper employs an ant colony meta-heuristic optimization method to solve the redundancy allocation problem (RAP) for software systems. Herein, an ant colony optimization algorithm for the software RAP (SRAP) is devised and tested on a computer relay software that is employed for fault handling in power system transmission lines and the results presented validates the efficacy of the approach.
Cite this Research Publication : Madhusudana Rao Nalluri, D. S. Roy, P. R. Parro, and D. K. Mohanta, “An ant colony metaheuristic approach for optimal reliability assessment of software systems incorporating redundancy”, 2012 World Congress on Information and Communication Technologies. 2012.