Simple statistical methods for software engineering data and patterns
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 s...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, Florida :
CRC Press
[2015]
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629270306719 |
Tabla de Contenidos:
- Front Cover; Contents; Preface; Acknowledgment; Introduction; Authors; SECTION I - DATA; Chapter 1 - Data, Data Quality, and Descriptive Statistics; Chapter 2 - Truth and Central Tendency; Chapter 3 - Data Dispersion; Chapter 4 - Tukey's Box Plot: Exploratory Analysis; SECTION II - METRICS; Chapter 5 - Deriving Metrics; Chapter 6 - Achieving Excellence in Software Development Using Metrics; Chapter 7 - Maintenance Metrics; Chapter 8 - Software Test Metrics; Chapter 9 - Agile Metrics; SECTION III - LAWS OF PROBABILITY; Chapter 10 - Pattern Extraction Using Histogram
- Chapter 11 - The Law of Large NumbersChapter 12 - Law of Rare Events; Chapter 13 - Grand Social Law: The Bell Curve; Chapter 14 - Law of Compliance: Uniform Distribution; Chapter 15 - Law for Estimation: Triangular Distribution; Chapter 16 - The Law of Life: Pareto Distribution-80/20 Aphorism; SECTION IV - TAILED DISTRIBUTIONS; Chapter 17 - Software Size Growth: Log-Normal Distribution; Chapter 18 - Gamma Distribution: Making Use of Minimal Data; Chapter 19 - Weibull Distribution: A Tool for Engineers; Chapter 20 - Gumbel Distribution for Extreme Values
- Chapter 21 - Gompertz Software Reliability Growth ModelBack Cover
