ABSTRACT

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

part |2 pages

SECTION I - DATA

chapter 2|14 pages

- Truth and Central Tendency

chapter 3|18 pages

- Data Dispersion

chapter 4|16 pages

- Tukey’s Box Plot: Exploratory Analysis

part |2 pages

SECTION II - METRICS

chapter 5|14 pages

- Deriving Metrics

chapter 7|14 pages

- Maintenance Metrics

chapter 8|14 pages

- Software Test Metrics

chapter 9|12 pages

- Agile Metrics

part |2 pages

SECTION III - LAWS OF PROBABILITY

chapter 10|18 pages

- Pattern Extraction Using Histogram

chapter 11|18 pages

- The Law of Large Numbers

chapter 12|24 pages

- Law of Rare Events

chapter 13|26 pages

- Grand Social Law: The Bell Curve

chapter 14|8 pages

- Law of Compliance: Uniform Distribution

part |2 pages

SECTION IV - TAILED DISTRIBUTIONS