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Chapter 14 The impact of mediator and observer design patterns on software reliability: an empirical evaluation

  • Muhammad Ehsan Rana , Omar S. Saleh and A. V. Senthil Kumar
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Operational Perspective of Modeling System Reliability
This chapter is in the book Operational Perspective of Modeling System Reliability

Abstract

A good software product must achieve specific defined quality attributes to meet the needs and expectations of users. Various studies substantiate the use of design patterns to create better quality software. Reliability is defined as the extent to which a program can be expected to perform its intended function with the required precision. Reliability measures the probability that a system will not fail and instead perform its intended functions for a specified time interval. This chapter has focused on the importance of reliability to a software system and how design patterns can be applied to achieve higher reliability. This research aims to identify suitable design patterns that help improve the reliability of a software system and finally evaluates the effects of applying these design patterns. For this research, mediator and observer design patterns are implemented using Java programming language to solve a common problem scenario for comparative analysis. An empirical measuring technique is used to evaluate the impact of suggested design patterns on reliability.

Abstract

A good software product must achieve specific defined quality attributes to meet the needs and expectations of users. Various studies substantiate the use of design patterns to create better quality software. Reliability is defined as the extent to which a program can be expected to perform its intended function with the required precision. Reliability measures the probability that a system will not fail and instead perform its intended functions for a specified time interval. This chapter has focused on the importance of reliability to a software system and how design patterns can be applied to achieve higher reliability. This research aims to identify suitable design patterns that help improve the reliability of a software system and finally evaluates the effects of applying these design patterns. For this research, mediator and observer design patterns are implemented using Java programming language to solve a common problem scenario for comparative analysis. An empirical measuring technique is used to evaluate the impact of suggested design patterns on reliability.

Chapters in this book

  1. Frontmatter I
  2. Preface VII
  3. Acknowledgments IX
  4. Contents XI
  5. Editors’ biography XV
  6. List of contributing authors XVII
  7. Chapter 1 Cloud-enabled HAP for next-generation reliable networks: a dependability analysis 1
  8. Chapter 2 Opportunity-based age replacement models in discrete time and their application 25
  9. Chapter 3 An efficient GA-PSO algorithm for addressing multi-objective reliability optimization problems 47
  10. Chapter 4 Mathematical data models for forecasting computational resources in cloud computing 65
  11. Chapter 5 Mathematical modeling and reliability analysis of pulsed GTAW process in mechanical property for weld joints 87
  12. Chapter 6 Analyzing enablers influencing reliability and adoption of conversational bots: an interpretive structural modeling technique 101
  13. Chapter 7 Modeling of series parallel system by two types of repairs for reliability perspective 129
  14. Chapter 8 Analyzing unmanned aerial vehicle threats and risks using STRIDE and DREAD 143
  15. Chapter 9 Reliability analysis of a two out of four stochastic model with rework strategy 183
  16. Chapter 10 A fast algorithm to find the maximum reliability route in stochastic networks 209
  17. Chapter 11 Discovery and fixation process for software vulnerabilities: modeling and analysis incorporating learning functions 221
  18. Chapter 12 Reliability assessment method based on cyclic noisy fault big data and AI for OSS 237
  19. Chapter 13 MEREC-CoCoSo-based systematic approach to analyze and evaluate critical testing coverage measures for software development process 257
  20. Chapter 14 The impact of mediator and observer design patterns on software reliability: an empirical evaluation 277
  21. Chapter 15 Identifying the most efficient vulnerability detection methods: a multi-criteria decisionmaking approach 295
  22. Chapter 16 Methodology of developing mathematical models with fuzzy logic elements for quality indices control 307
  23. Chapter 17 Review of multi-release software reliability growth modeling framework 339
  24. Index 353
https://doi.org/10.1515/9783111476100-014

Chapters in this book

  1. Frontmatter I
  2. Preface VII
  3. Acknowledgments IX
  4. Contents XI
  5. Editors’ biography XV
  6. List of contributing authors XVII
  7. Chapter 1 Cloud-enabled HAP for next-generation reliable networks: a dependability analysis 1
  8. Chapter 2 Opportunity-based age replacement models in discrete time and their application 25
  9. Chapter 3 An efficient GA-PSO algorithm for addressing multi-objective reliability optimization problems 47
  10. Chapter 4 Mathematical data models for forecasting computational resources in cloud computing 65
  11. Chapter 5 Mathematical modeling and reliability analysis of pulsed GTAW process in mechanical property for weld joints 87
  12. Chapter 6 Analyzing enablers influencing reliability and adoption of conversational bots: an interpretive structural modeling technique 101
  13. Chapter 7 Modeling of series parallel system by two types of repairs for reliability perspective 129
  14. Chapter 8 Analyzing unmanned aerial vehicle threats and risks using STRIDE and DREAD 143
  15. Chapter 9 Reliability analysis of a two out of four stochastic model with rework strategy 183
  16. Chapter 10 A fast algorithm to find the maximum reliability route in stochastic networks 209
  17. Chapter 11 Discovery and fixation process for software vulnerabilities: modeling and analysis incorporating learning functions 221
  18. Chapter 12 Reliability assessment method based on cyclic noisy fault big data and AI for OSS 237
  19. Chapter 13 MEREC-CoCoSo-based systematic approach to analyze and evaluate critical testing coverage measures for software development process 257
  20. Chapter 14 The impact of mediator and observer design patterns on software reliability: an empirical evaluation 277
  21. Chapter 15 Identifying the most efficient vulnerability detection methods: a multi-criteria decisionmaking approach 295
  22. Chapter 16 Methodology of developing mathematical models with fuzzy logic elements for quality indices control 307
  23. Chapter 17 Review of multi-release software reliability growth modeling framework 339
  24. Index 353
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