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| Introduction: |
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| This tutorial covers the Elective area of the Test Management Body of Knowledge (TMBOK) required
for the Certified Test Manager (CTM) certification. This tutorial also covers the Elective area of the Certified
Software Test Professional requirements. |
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| Concepts: |
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You can't manage what you can't measure. Measurement is the key to managing the software testing
process. Software Metrics can aid in improving your organizations testing process by (1) providing insight and
early visibility into the "real" status of the testing effort, and (2) aid in making assessments as to
whether progress, productivity and quality goals are being met. This tutorial presents a practical guide on how
to start taking advantage of these new tools/techniques to aid in improving the testing process. These metric based
tools and techniques have successfully been used by (1) software test teams, (2) software developers and, (3) SQA/IV&V
staffs.
This two-day seminar provides a practical guide on how to start taking advantage of these metric based tools and
techniques. Course problems will utilize data, metrics, and case studies. |
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| Objectives: |
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Participants will learn:
- A set of government/industry “best practices” metrics with numerous examples, variations
, and case studies. These metrics can track the "real status", quality, and productivity of the testing
effort, as well as provide an indication of future problems.
- Goal-Question-Metric. An overview of Software Quality Goals, Criteria and Metrics as well
as a framework for developing customized testing goals and metrics to measure if these goals are being met.
- Requirements Testability. Metrics that can be used in the Requirement Phase. .
- Software Complexity Metrics: A new Structured Testing methodology that uses metrics to aid
in (1) developing software that is easier to test and maintain, and (2) selecting an appropriate set of paths for
more thorough testing.
- How to integrate software metrics into the testing process
AUDIENCE: A practical overview of metrics-based testing designed for technical and managerial
professionals concerned with improving quality, performance, and productivity of software testing.
This tutorial is designed for Intermediate/advanced level professionals.
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| Course Outline |
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Section One
Introduction
An introduction to software testing, and the use of metrics. This section will cover the
following topics:
- The Cost of Inadequate S/W Testing
- Crises-Driven Development
- Software Growth
- Problems due to Growth in Size
- How S/W Metrics can aid in Testing
- High cost of testing
- What is testing?
- Problems in testing
- Latent Error Correction Costs
- Software Error Introduction and Discovery
Section Two
A Set of “Best Practices” Metrics
This section will cover a set of “best practices” metrics with numerous examples and variations, that can be utilized
in the Software Testing phase. You will learn how to set-up, use, and analyze these metrics. A number of real-life
Case Studies, will cover the analysis of testing scenarios utilizing a combination of metrics, as well as there
interactions.
- Unit Testing Progress Metrics
- Integration testing Progress metrics
- Depth of Testing Metrics
- Branch/Statement Testing Coverage
- Code Complexity Metrics
- System Testing Progress metrics
- Fault Tracking Metrics
- Defect Containment Metrics
- S/W Size
- Test Team Personnel Metrics
- Software measurement principles
- SEI Core Metrics
- Case Studies
Section Three
Goal-Question-Metric Framework
This section will include an overview of Software Quality Goals, Factors , and Metrics as well as a process for
developing new, individual testing metrics, called the Goal-Question-Metric Framework .
- Science and Measurement
- Conceptual Framework
- Tradeoffs among Factors
- Examples of Tradeoffs
- Classifications of a Metric
- Properties of a Good Metric
- Goal-Question-Metric Framework
Section Four
Requirements Testability
This section will include metrics that can be used in the Requirements Phase .
- Survey of S/W risks and cost drivers
- Requirements Volatility Metrics
- Requirements Change Metrics
- Requirements Progress Metrics
- Criteria for Good Requirements
- Analysis of Requirement Errors
- Requirement Tracing Metrics
- Testable /Non-Testable Requirements
Section Five
Software Complexity Metrics
A major problem in software development is the creation of highly complex designs that are
difficult to understand, and therefore costly to test and maintain. This section will discuss McCabes Complexity
Metric, and a practical application of how it can be used to simply complexity that can result in appreciable savings
in testing and maintenance costs.
- Software Complexity
- McCabes Complexity Metric
- Drawing a Flowgraph
- Computation of McCabes Metrics
- Properties of a Complexity Metric
- Using McCabes metric for identifying program paths for testing
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