Process Improvement and CMMI for Systems and Software 1st Edition by Ron Kenett, Emanuel Baker 1420060503 9781420060508

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ISBN 10: 1420060503

ISBN 13: 9781420060508

Author: Ron S. Kenett, Emanuel Baker

Process Improvement and CMMI for Systems and Software provides a workable approach for achieving cost-effective process improvements for systems and software. Focusing on planning, implementation, and management in system and software processes, it supplies a brief overview of basic strategic planning models and covers fundamental concepts and appr

Process Improvement and CMMI for Systems and Software 1st Table of contents:

SECTION I STRATEGY AND BASICS OF QUALITY AND PROCESS IMPROVEMENT

1 The Strategic Role of Systems and Software Quality

Synopsis

1.1 Basic Strategic Planning

1.2 Strategic Planning Models

1.3 Elements of System and Software Quality

1.3.1 Requirements Establishment and Control

1.3.2 Methodology Establishment and Implementation

1.3.3 Quality Evaluation

1.3.4 Interactions among System Quality Program Elements

1.4 Deployment of Strategic Quality Goals

1.5 Strategic Maps and Balanced Scorecards

1.6 Summary

References

2 Basic Elements of Continuous Process Improvement

Synopsis

2.1 Continuous Improvement Infrastructures

2.2 Process Improvement Projects and Measurement Programs

2.3 Six Sigma (DMAIC and DFSS Methodology)

2.4 Enterprise Knowledge Development (EKD)

2.4.1 EKD Actor and Role Components

2.4.1.1 The Actor and the Actor’s Role

2.4.1.2 The Actor–Role Relationship

2.4.1.3 The Role–Role Relationship

2.4.1.4 Using the Notation

2.4.1.5 Guidelines for the Actor–Role Diagram

2.4.1.6 Examples of Actor–Role Diagrams

2.4.1.7 EKD Role–Activity Diagram

2.5 Organizational Patterns

2.5.1 The Notion of Pattern

2.5.2 Pattern Template

2.6 Summary

References

SECTION II ASSESSMENT AND MEASUREMENT IN SYSTEMS AND SOFTWARE DEVELOPMENT

3 CMMI, People CMM, Personal and Team Software Process, eSCM, ITIL, and ISO Standards

Synopsis

3.1 Capability Maturity Model Integration (CMMI)

3.1.1 History

3.1.2 CMMI

3.1.2.1 Motivating Factors

3.1.2.2 Version 1.1

3.1.2.3 Version 1.2

3.1.2.4 Version 1.3

3.1.3 CMMI for Acquisition (CMMI-ACQ)

3.1.4 CMMI for Services (CMMI-SVC)

3.1.5 SCAMPI Class A Appraisal Methodology

3.1.6 SCAMPI B and C Appraisals

3.2 People CMM

3.3 Personal and Team Software Process

3.3.1 PSP

3.3.2 TSP

3.4 eSourcing Capability Model (eCSM)

3.4.1 Barriers to Successful Sourcing Relationships

3.4.2 eSCM for Service Providers

3.4.3 eSCM for Client Organizations

3.4.4 eSCM Capability Determinations

3.5 Information Technology Infrastructure Library® (ITIL®)

3.5.1 Description

3.5.2 Certification

3.5.3 Connections between ITIL and eSCM

3.6 ISO Standards and Models

3.6.1 ISO 9001

3.6.2 SPICE (ISO 15504)

3.6.3 ISO 12207

3.6.4 ISO 15288

3.6.5 ISO Standard Interrelationships

3.7 Summary

References

4 System and Software Measurement Programs

Synopsis

4.1 Defining Measures for Process Control and Improvement

4.1.1 Size

4.1.2 Defects

4.1.3 Effort

4.1.4 Duration

4.1.5 Cost

4.1.6 Customer Satisfaction

4.2 Effectiveness of Process Measurement Programs

4.2.1 Attributes

4.2.2 Impact Factors

4.2.2.1 Positive Impact Factors

4.2.2.2 Negative Impact Factors

4.2.3 Measuring Impact

4.3 Measurement Program Implementation Steps

4.3.1 Plan/Evaluate Phase

4.3.1.1 Reasons for Implementation

4.3.1.2 Questions to Help Identify Goals

4.3.1.3 Identification of Sponsors

4.3.1.4 Identification of Roles and Responsibilities

4.3.2 Analysis Phase

4.3.2.1 Analysis of Audience and Identification of Target Metrics

4.3.2.2 Definition of Metrics

4.3.3 Implement/Measure Phase

4.3.3.1 Organizing for Just-in-Time Training and Education Processes

4.3.3.2 Reporting and Publishing Results

4.3.4 Improve Phase

4.3.4.1 Managing Expectations

4.3.4.2 Managing with Metrics

4.4 Case Studies

4.4.1 Measurement Program Case Studies

4.4.1.1 An Effective Measurement Program

4.4.1.2 An Ineffective Measurement Program

4.4.2 Beneficial Measurement Examples

4.4.2.1 Example 1: Staffing Profiles

4.4.2.2 Example 2: Software Size

4.4.2.3 Example 3: Problem Report Tracking

4.4.2.4 Example 4: Control Charts of Newly Opened Bugs, by Week

4.4.2.5 Example 5: Control Charts of Closed Bugs, by Week

4.4.2.6 Example 6: A Cost-Driven Dashboard

4.5 Measurement and the CMMI High Maturity Practices

4.5.1 Maturity Level 4

4.5.2 Maturity Level 5

4.5.3 High Maturity Summary

4.6 Chapter Summary

References

SECTION III IMPROVEMENTS AND TESTING OF SYSTEMS AND SOFTWARE

5 System and Software Development Process Improvement

Synopsis

5.1 Implementing System and Software Process Improvement

5.1.1 Developing a Long-Range Action Plan for Process Improvement

5.1.2 Work Environment Factors Affecting Process Improvement Plan Implementation

5.1.2.1 Facilities

5.1.2.2 Software Tools to Facilitate Process Implementation

5.1.2.3 Personnel Resources

5.1.2.4 Management Policies

5.2 Managing Improvement Projects

5.3 Roles and Responsibilities and Specifying Mission Statements

5.4 Criteria for Team Composition

5.5 Launching Improvement Teams

5.6 Managing Improvement Teams

5.7 After Action Reviews

5.8 Summary

References

6 System and Software Testing Strategies

Synopsis

6.1 Designing a Test Strategy

6.1.1 Background

6.1.2 “Pre-Alpha”: Early Testing before Feature Freeze

6.1.3 “Alpha”: Feature Freeze

6.1.4 “Validation and Beta”: Development Is Complete

6.2 Implementing a Test Strategy

6.2.1 Ten Steps for Time-to-Market and Quality Improvement

6.2.2 Build and Development Product Version Plans

6.2.3 Main Phases in the Test Plan

6.2.4 Monitoring and Controlling the Test Process

6.2.5 Defects per Build

6.2.6 Defects by Severity/Status

6.3 Software Cybernetics

6.3.1 Background

6.3.2 Modeling of Incremental Software and System Control

6.3.3 Modeling of Test Processes

6.4 Test Strategy Results

6.4.1 Accumulated Lines of Code and Accumulated Defects per Build

6.4.2 New Defects per Build

6.4.3 New Severity 1 through Severity 3 Defects per Build

6.5 Assessing Testing Effectiveness and Efficiency

6.5.1 The Software Trouble Assessment Matrix (STAM)

6.5.2 A STAM Analysis of Release 7.0

6.5.3 Comparing Releases with a STAM Analysis

6.6 Software Reliability Models

6.7 Summary

References

Appendix: Software Reliability Models

6A.1 Markov Models

6A.1.1 A Case Study of the Lipow Model

6A.2 NHPP Models

6A.2.1 The Goel–Okomoto Model

6A.2.2 The Musa–Okomoto Logarithmic Model

6A.2.3 The Yamada S-Shaped NHPP Models

6A.2.4 The Log-Power Model

6A.2.5 Other NHPP Extensions

6A.3 Bayesian Models

6A.4 Estimation for Model Parameters and Semi-Parametric Control

6A.4.1 Point Estimation for NHPP Model Parameters

6A.4.2 A General Approach for Parameter Estimation

6A.4.3 The Shiryayev–Roberts Semi-Parametric Procedure

References

7 System and Software Beta and Usability Programs

Synopsis

7.1 Planning Beta Programs

7.1.1 Introduction to Beta Planning

7.1.2 Beta Test Standard Operating Procedure

7.2 Beta Test Data Collection and Analysis

7.2.1 Beta Survey Design

7.2.2 Beta Test Survey Data Analysis

7.2.3 Reliability Models

7.3 Beta Test Risk and Usability Analysis

7.3.1 Introduction to Risk Management

7.3.2 Risk Identification

7.3.3 Risk Analysis

7.3.4 Risk Monitoring and Control

7.4 Usability Analysis

7.4.1 Introduction to Usability

7.4.2 A Case Study: Web Usability Analytics

7.4.3 A DSUID Implementation Framework: The Seven Layers Model

7.4.4 DSUID Modeling Techniques

7.5 Determining Readiness Success Criteria

7.5.1 Mapping Goals to Strategic Objectives

7.5.2 Using QFD to Establish Readiness Criteria

7.6 Managing Readiness Reviews

7.7 Summary

References

SECTION IV MANAGING AND REPORTING DATA, AND A COMPREHENSIVE CASE STUDY

8 Data Reporting and Analysis

Synopsis

8.1 Designing a Data Reporting System

8.1.1 Defining the Data to Collect

8.1.2 Establishing the Data Center

8.1.3 Data Collection

8.1.4 Data Storage and Analysis

8.1.5 Data Analysis Procedures

8.2 Operating a Data Reporting System

8.2.1 Staffing

8.2.2 Data Entry

8.2.3 Data Backups

8.2.4 Power Failure Considerations

8.3 Analyzing Data

8.4 Reporting on Findings and Consequences

8.5 Field Data Reporting

8.6 Summary

References

9 Systems Development Management Dashboards and Decision Making

Synopsis

9.1 Introduction to Systems Development Management Dashboard

9.2 A Systems Development Management Dashboard Case Study

9.2.1 Progress

9.2.2 Change

9.2.3 Staff

9.2.4 Risk

9.2.5 Quality

9.3 Additional Metrics at the PMO Level

9.3.1 M1: Profit from New Products and Systems

9.3.2 M2: Cost of Late Launch

9.3.3 M3: R&D Spend

9.3.4 M4: New Product/System Quality

9.3.5 M5: Uniqueness of Products/Systems

9.3.6 M6: Idea Generation Rate

9.3.7 M7: New Product/System Break-Even Time

9.3.8 M8: New Product/System Introduction Rate

9.3.9 M9: Product Standardization

9.3.10 M10: Cost of Quality

9.4 Risk Management and Optimizing Decisions with Data

9.4.1 Uncertainty Models and Risk Management

9.4.2 Bayes Methods in Risk Management

9.4.3 Financial Engineering and Risk Management

9.4.4 Black Swans and the Taleb Quadrants

9.5 Summary

References

10 A Case Study: The Journey of Systems, Inc. to CMMI® Level 5

Synopsis

10.1 Background of Systems, Inc.

10.2 The Systems, Inc. SCAMPI Appraisal

10.2.1 Some Background on the Need for an Appraisal

10.2.2 Appraisal Interviews at Systems, Inc.

10.2.2.1 Middle Management Discussion Group

10.2.2.2 Requirements and Customer Interface Functional Area Representative (FAR) Discussion Group

10.2.2.3 Software Design and Coding FAR Discussion Group

10.2.3 Benchmarking of Systems, Inc.

10.3 Strategic Planning for Process Improvement at Systems, Inc.

10.3.1 The Systems, Inc. Software Development Challenge

10.3.1.1 Scrum at Systems, Inc.

10.3.1.2 The Scrum Process

10.3.1.3 Roles in Scrum

10.3.1.4 Meetings/Activities in Scrum

10.3.1.5 Scrum Artifacts

10.3.1.6 Scaling Scrum in Big Projects

10.3.1.7 EKD, Patterns, and Scrum at Systems, Inc.

10.3.2 The Systems, Inc. Measurement Program

10.4 Summary and Conclusions

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