Systems Performance Modeling (Issn, 4)

This book describes methods to improve software performance and safety using advanced mathematical and computational analytics. The main focus is laid on the increase of software reliability by preventive and predictive maintenance with efficient usage of modern testing resources. The editors collect contributions from international researchers in the field. • Most recent research and applications • International experts Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation. Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications. De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences (AMEIS) focusses on the latest applications of engineering and information technology that are possible only with the use of mathematical methods. By identifying the gaps in knowledge of engineering applications the AMEIS series fosters the international interchange between the sciences and keeps the reader informed about the latest developments. Acknowledgment Preface About the editors Contents List of contributing authors 1. Impact of available resources on software patch management 2. Debugging process modeling for quality/ reliability assessment of software system 3. Availability analysis of vehicular cloud computing 4. Increasing failure rate software reliability models for agile projects: a comparative study 5. Fault big data analysis based on effort prediction models and AI for open-source project 6. Modeling the meaning of data streams and its impact on the system performance 7. Performance evaluation of switched telephone exchange network 8. On use of Weibull failure laws for reliability measures of a series–parallel system Index De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences