Simple Statistical Methods for Software Engineering

Book description

Although there are countless books on statistics, few are dedicated to the application of statistical methods to software engineering. Simple Statistical Methods for Software Engineering: Data and Patterns fills that void. Instead of delving into overly complex statistics, the book details simpler solutions that are just as effective and connect wi

Table of contents

  1. Front Cover (1/2)
  2. Front Cover (2/2)
  3. Contents (1/3)
  4. Contents (2/3)
  5. Contents (3/3)
  6. Preface
  7. Acknowledgment
  8. Introduction
  9. Authors
  10. SECTION I - DATA
    1. Chapter 1 - Data, Data Quality, and Descriptive Statistics (1/4)
    2. Chapter 1 - Data, Data Quality, and Descriptive Statistics (2/4)
    3. Chapter 1 - Data, Data Quality, and Descriptive Statistics (3/4)
    4. Chapter 1 - Data, Data Quality, and Descriptive Statistics (4/4)
    5. Chapter 2 - Truth and Central Tendency (1/3)
    6. Chapter 2 - Truth and Central Tendency (2/3)
    7. Chapter 2 - Truth and Central Tendency (3/3)
    8. Chapter 3 - Data Dispersion (1/4)
    9. Chapter 3 - Data Dispersion (2/4)
    10. Chapter 3 - Data Dispersion (3/4)
    11. Chapter 3 - Data Dispersion (4/4)
    12. Chapter 4 - Tukey’s Box Plot: Exploratory Analysis (1/4)
    13. Chapter 4 - Tukey’s Box Plot: Exploratory Analysis (2/4)
    14. Chapter 4 - Tukey’s Box Plot: Exploratory Analysis (3/4)
    15. Chapter 4 - Tukey’s Box Plot: Exploratory Analysis (4/4)
  11. SECTION II - METRICS
    1. Chapter 5 - Deriving Metrics (1/3)
    2. Chapter 5 - Deriving Metrics (2/3)
    3. Chapter 5 - Deriving Metrics (3/3)
    4. Chapter 6 - Achieving Excellence in Software Development Using Metrics (1/4)
    5. Chapter 6 - Achieving Excellence in Software Development Using Metrics (2/4)
    6. Chapter 6 - Achieving Excellence in Software Development Using Metrics (3/4)
    7. Chapter 6 - Achieving Excellence in Software Development Using Metrics (4/4)
    8. Chapter 7 - Maintenance Metrics (1/3)
    9. Chapter 7 - Maintenance Metrics (2/3)
    10. Chapter 7 - Maintenance Metrics (3/3)
    11. Chapter 8 - Software Test Metrics (1/3)
    12. Chapter 8 - Software Test Metrics (2/3)
    13. Chapter 8 - Software Test Metrics (3/3)
    14. Chapter 9 - Agile Metrics (1/3)
    15. Chapter 9 - Agile Metrics (2/3)
    16. Chapter 9 - Agile Metrics (3/3)
  12. SECTION III - LAWS OF PROBABILITY
    1. Chapter 10 - Pattern Extraction Using Histogram (1/4)
    2. Chapter 10 - Pattern Extraction Using Histogram (2/4)
    3. Chapter 10 - Pattern Extraction Using Histogram (3/4)
    4. Chapter 10 - Pattern Extraction Using Histogram (4/4)
    5. Chapter 11 - The Law of Large Numbers (1/4)
    6. Chapter 11 - The Law of Large Numbers (2/4)
    7. Chapter 11 - The Law of Large Numbers (3/4)
    8. Chapter 11 - The Law of Large Numbers (4/4)
    9. Chapter 12 - Law of Rare Events (1/5)
    10. Chapter 12 - Law of Rare Events (2/5)
    11. Chapter 12 - Law of Rare Events (3/5)
    12. Chapter 12 - Law of Rare Events (4/5)
    13. Chapter 12 - Law of Rare Events (5/5)
    14. Chapter 13 - Grand Social Law: The Bell Curve (1/6)
    15. Chapter 13 - Grand Social Law: The Bell Curve (2/6)
    16. Chapter 13 - Grand Social Law: The Bell Curve (3/6)
    17. Chapter 13 - Grand Social Law: The Bell Curve (4/6)
    18. Chapter 13 - Grand Social Law: The Bell Curve (5/6)
    19. Chapter 13 - Grand Social Law: The Bell Curve (6/6)
    20. Chapter 14 - Law of Compliance: Uniform Distribution (1/2)
    21. Chapter 14 - Law of Compliance: Uniform Distribution (2/2)
    22. Chapter 15 - Law for Estimation: Triangular Distribution (1/3)
    23. Chapter 15 - Law for Estimation: Triangular Distribution (2/3)
    24. Chapter 15 - Law for Estimation: Triangular Distribution (3/3)
    25. Chapter 16 - The Law of Life: Pareto Distribution—80/20 Aphorism (1/3)
    26. Chapter 16 - The Law of Life: Pareto Distribution—80/20 Aphorism (2/3)
    27. Chapter 16 - The Law of Life: Pareto Distribution—80/20 Aphorism (3/3)
  13. SECTION IV - TAILED DISTRIBUTIONS
    1. Chapter 17 - Software Size Growth: Log-Normal Distribution (1/4)
    2. Chapter 17 - Software Size Growth: Log-Normal Distribution (2/4)
    3. Chapter 17 - Software Size Growth: Log-Normal Distribution (3/4)
    4. Chapter 17 - Software Size Growth: Log-Normal Distribution (4/4)
    5. Chapter 18 - Gamma Distribution: Making Use of Minimal Data (1/3)
    6. Chapter 18 - Gamma Distribution: Making Use of Minimal Data (2/3)
    7. Chapter 18 - Gamma Distribution: Making Use of Minimal Data (3/3)
    8. Chapter 19 - Weibull Distribution: A Tool for Engineers (1/4)
    9. Chapter 19 - Weibull Distribution: A Tool for Engineers (2/4)
    10. Chapter 19 - Weibull Distribution: A Tool for Engineers (3/4)
    11. Chapter 19 - Weibull Distribution: A Tool for Engineers (4/4)
    12. Chapter 20 - Gumbel Distribution for Extreme Values (1/3)
    13. Chapter 20 - Gumbel Distribution for Extreme Values (2/3)
    14. Chapter 20 - Gumbel Distribution for Extreme Values (3/3)
    15. Chapter 21 - Gompertz Software Reliability Growth Model (1/4)
    16. Chapter 21 - Gompertz Software Reliability Growth Model (2/4)
    17. Chapter 21 - Gompertz Software Reliability Growth Model (3/4)
    18. Chapter 21 - Gompertz Software Reliability Growth Model (4/4)
  14. Back Cover

Product information

  • Title: Simple Statistical Methods for Software Engineering
  • Author(s): C. Ravindranath Pandian, Murali Kumar
  • Release date: May 2015
  • Publisher(s): Auerbach Publications
  • ISBN: 9781439816622