Simple statistical methods for software engineering : data and patterns /: data and patterns. (2015)

• Record Type: Book
• Further Information: Note: C. Ravindranath Pandian, Murali Kumar.
• Authors: Pandian, C. Ravindranath; Kumar, Murali
• Contents: DATA; ; Data, Data Quality, and Descriptive Statistics ; The Challenge That Persists; Bringing Data to the Table Requires Motivation; Data Quality; Visual Summary; Numerical Descriptive Statistics (Numerical Summary of Data); Case Study: Interpretation of Effort Variance Descriptive Statistics; Application Notes; Concluding Remarks; Definition of Descriptive Statistics; References; Suggested Readings; ; Truth and Central Tendency ; Mean; Median; Mode; Geometric Mean; Harmonic Mean; Interconnected Estimates; Weighted Mean; Robust Means; Two Categories; Truth; Application Notes; Case Study: Shifting the Mean; References; Suggested Reading; ; Data Dispersion ; Range-Based Empirical Representation; Dispersion as Deviation from Center; Skewness and Kurtosis; Coefficient of Dispersion; Application Contexts; In a Nutshell; Case Study: Dispersion Analysis of Data Sample; Reference; Suggested Readings; ; Tukey’s Box Plot: Exploratory Analysis ; The Structure of the Box Plot; Customer Satisfaction Data Analysis Using the Box Plot; Tailoring the Box Plot; Applications of Box Plot; Core Benefits of Box Plot; Twin Box Plot; Case Study 1: Business Perspectives from CSAT Box Plots; Case Study 2: Process Perspectives from CSAT Box Plots; References; ; Deriving Metrics ; Creating Meaning in Data; Deriving Metrics as a Key Performance Indicator; Estimation and Metrics; Paradigms for Metrics; GQM Paradigm; Difficulties with Applying GQM to Designing a Metrics System; Need-Driven Metrics; Meaning of Metrics: Interpreting Metric Data; Our Categories of Metrics; Business Metrics; Project Metrics; Process Metrics; Subprocess Metrics; Product Metrics; Case Study: Power of Definitions; References; Suggested Readings; ; Achieving Excellence in Software Development Using Metrics ; Examples of Project Metrics; Examples of Product Metrics; Examples of Process Metrics; Subprocess Metrics; Converting Metrics into Business Information; Case Study: Early Size Measurements; Project Progress Using Earned Value Metrics; References; Suggested Readings; ; Maintenance Metrics ; Fusion of Frameworks in Software Maintenance; Metric-Based Dashboards; References; Suggested Readings; ; Software Test Metrics ; Project Metrics; Process Metrics; Product Metrics; Testing Size: Test Case Point; Risk Metric; Predicting Quality; Metrics for Test Automation; Case Study: Defect Age Data; References; Suggested Readings; ; Agile Metrics ; Classic Metrics: Unpopular Science; Two Sides of Classic Metrics; Metrics for Agile: Humanization; The Price of Humanization; Common Agile Metrics; Adding More Agile Metrics; Case Study: Earned Value Management in the Agile World; References; Suggested Reading; ; LAWS OF PROBABILITY; ; Pattern Extraction Using Histogram ; Choosing the Number of Intervals; Process Signature; Uniqueness of Histogram Signature; Histogram Shapes; Mixture; Process Capability Histogram; Histogram as a Judge; From One Point to One Histogram; Case Study: Goal Entitlement; Creating a Histogram; Interpretation; References; ; The Law of Large Numbers ; Life Is a Random Variable; Plots of Probability Distribution; A Comparison of Application of the Four Distributions; Bayes Theorem; References; Suggested Reading; ; Law of Rare Events ; Exponential Distribution; Poisson Distribution; Bathtub Curve of Reliability: A Universal Model of Rare Events; Nonhomogenous Poisson Process; Goel-Okumoto NHPP Model; Different Applications of GO Model; References; Suggested Readings; ; Grand Social Law: The Bell Curve ; First-Order Approximation of Variation; Estimation Error; Viewing Requirement Volatility; Risk Measurement; Combining Normal PDFs: The Law of Quadrature; An Inverse Problem; Process Capability Indices; z Score Calculation; Sigma Level: Safety Margin; Statistical Tests; References; Suggested Readings; ; Law of Goal Compliance: Uniform Distribution ; Bounded Distribution; Random Number Generators; Shuttle Time; Parkinson’s Law; Censored Process; Perfect Departure; Estimating Calibration Uncertainty with Minimal Information; References; Suggested Readings; ; Law for Estimation: Triangular Distribution ; Bell Curve Morphs into a Triangle; Mental Model for Estimation; Mean; Median; Other Statistics; Skew; Three-Point Schedule Estimation; Beta Option; Triangular Risk Estimation; Parameter Extraction; References; ; Pareto Distribution—The Law of Life: 80/20 Aphorism ; Structure of Pareto; An Example; The 80/20 Law: Vital Few and Trivial Many; Generalized Pareto Distribution; Duane's Model; Tailing a Body; References; ; TAILED DISTRIBUTIONS; ; Software Size Growth: Log-Normal Distribution ; Log-Normal Processes; Building a Log-Normal PDF for Software Design Complexity; Working with a Pictorial Approach; Features Addition in Software Enhancement; A Log-Normal PDF for Change Requests; From Pareto to Log-Normal; Some Properties of Log-Normal Distribution; Case Study—Analysis of Failure Interval; References; ; Gamma Distribution: Making Use of Minimal Data ; Gamma Curves for Clarification Time Data; Shifting the Gamma PDF; Generating Clarification Time Scenarios with Gamma PDF Built from Minimal Data; NIST Formula for Gamma Parameter Extraction; Applying Gamma Distribution to Software Reliability Growth Modeling; References; ; Weibull Distribution: A Tool for Engineers ; Weibull Curves; Parameter Extraction; Standard Weibull Curve; Three-Parameter Weibull; Software Reliability Studies; Putnam's Rayleigh Curve for Software Reliability; Cost Model; Defect Detection by Reviews; New Trend; Rayleigh Model—Success and Failure; References; ; Gumbel Distribution for Extreme Values ; A Science of Outliers; Gumbel Minimum PDF; Gumbel Parameter Extraction—A Simple Approach; Gumbel Minimum: Analyzing Low CSAT Scores; Gumbel Maximum: Complexity Analysis; Minima Maxima Comparisons; Analyzing Extreme Problems; References; ; Gompertz Software Reliability Growth Model ; Gompertzian S Curves; Modeling Reliability Growth with Gompertzian S Curves; Building a Reliability Growth Curve; Gompertz Software Reliability Growth Model Curves; Predicting With the Gompertz Model; More Attempts on Gompertzian Software Growth Reliability Model; How to Implement Gompertz Model in Software Testing; Gompertz Curve versus GO NHPP Model; References; Suggested Readings
• Edition: 1st
• Publisher Details: Boca Raton : Auerbach
• Publication Date: 2015
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 005.1015195; Software engineering -- Statistical methods
• Languages: English
• ISBNs: 9781439816622; 9781466547681
• Related ISBNs: 9781439816615
• Notes: Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.