System Performance and Management Analytics 1st edition by Kapur, Yury Klochkov, Ajit Kumar Verma, Gurinder Singh ISBN 9811073228 978-9811073229

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ISBN 10: 9811073228
ISBN 13: 978-9811073229
Author: Kapur, Yury Klochkov, Ajit Kumar Verma, Gurinder Singh 

This book shares key insights into system performance and management analytics, demonstrating how the field of analytics is currently changing and how it is used to monitor companies’ efforts to drive performance.Managing business performance facilitates the effective accomplishment of strategic and operational goals, and there is a clear and direct correlation between using performance management applications and improved business and organizational results. As such, performance and management analytics can yield a range of direct and indirect benefits, boost operational efficiency and unlock employees’ latent potential, while at the same time aligning services with overarching goals.The book addresses a range of topics, including software reliability assessment, testing, quality management, system-performance management, analysis using soft-computing techniques, and management analytics. It presents a balanced, holistic approach to viewing the world from both a technical and managerial perspective by considering performance and management analytics. Accordingly, it offers a comprehensive guide to one of the most pressing issues in today’s technology-dominated world, namely, that most companies and organizations find themselves awash in a sea of data, but lack the human capital, appropriate tools and knowledge to use it to help them create a competitive edge.

System Performance and Management Analytics 1st Table of contents:

1. Use of Bayesian Networks for System Reliability Assessment
2. Predicting Code Merge Conflicts and Selecting Optimal Code Branching Strategy for Quality Improvement in Banking Sector
3. Testing the Effects of Agile and Flexible Supply Chain on the Firm Performance Through SEM
4. Analysis and Countermeasures for Security and Privacy Issues in Cloud Computing
5. An Efficient Approach for Web Usage Mining Using ANN Technique
6. Natural Language Processing Approach to Identify Analogous Data in Offline Data Repository
7. Multi Release Reliability Growth Modeling for Open Source Software Under Imperfect Debugging
8. Barriers to Agile Adoption: A Developer Perspective
9. Toward Analysis of Requirement Prioritization Based Regression Testing Techniques
10. Formulation of Error Generation-Based SRGMs Under the Influence of Irregular Fluctuations
11. Decision Aspect Prioritization Technique for Incremental Software
12. Reliability Growth Analysis for Multi-release Open Source Software Systems with Change Point
13. Improvisation of Reusability Oriented Software Testing
14. Water Treatment System Performance Evaluation Under Maintenance Policies
15. Prediction of El-Nino Year and Performance Analysis on the Calculated Correlation Coefficients
16. Performance of Static Spatial Topologies in Fine-Grained QEA on a P-PEAKS Problem Instance
17. Android Malware Detection Using Code Graphs
18. Security in ZigBee Using Steganography for IoT Communications
19. Implementation of Six Sigma Methodology in Syrian Pharmaceutical Companies
20. Developing Plans for QFD-Based Quality Enhancement
21. Modified Counting Sort
22. Analysis of Existing Clustering Algorithms for Wireless Sensor Networks
23. Process Mining for Maintenance Decision Support
24. Software Release Time Problem Revisited
25. Diffusion Modeling Framework for Adoption of Competitive Brands
26. Two-Dimensional Vulnerability Patching Model
27. A Hybrid Intuitionistic Fuzzy and Entropy Weight Based Multi-Criteria Decision Model with TOPSIS
28. The Role of Website Personality and Website User Engagement on Individual’s Purchase Intention
29. Impact of Social Media on Society—Analysis and Interpretation
30. Conceptual Framework of How Rewards Facilitate Business Operations in Knowledge-Intensive Organizations
31. Tunnel QRA: Present and Future Perspectives
32. Software Vulnerability Prioritization: A Comparative Study Using TOPSIS and VIKOR Techniques

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Tags: Kapur, Yury Klochkov, Ajit Kumar Verma, Gurinder Singh, System Performance, Management Analytics