Software Quality Engineering Testing Quality Assurance and Quantifiable Improvement 1st Edition by Jeff Tian ISBN 9780471722335 0471722332
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Authors:Jeff Tian , Series:IT & Computer [233] , Tags:Computers; Software Development & Engineering; General; Technology & Engineering; Electronics; Information Technology; TEAM DDU , Author sort:Tian, Jeff , Ids:Google; 9780471722335 , Languages:Languages:eng , Published:Published:May 2005 , Publisher:John Wiley & Sons , Comments:Comments:The one resource needed to create reliable software This text offers a comprehensive and integrated approach to software quality engineering. By following the author’s clear guidance, readers learn how to master the techniques to produce high-quality, reliable software, regardless of the software system’s level of complexity. The first part of the publication introduces major topics in software quality engineering and presents quality planning as an integral part of the process. Providing readers with a solid foundation in key concepts and practices, the book moves on to offer in-depth coverage of software testing as a primary means to ensure software quality; alternatives for quality assurance, including defect prevention, process improvement, inspection, formal verification, fault tolerance, safety assurance, and damage control; and measurement and analysis to close the feedback loop for quality assessment and quantifiable improvement. The text’s approach and style evolved from the author’s hands-on experience in the classroom. All the pedagogical tools needed to facilitate quick learning are provided: * Figures and tables that clarify concepts and provide quick topic summaries * Examples that illustrate how theory is applied in real-world situations * Comprehensive bibliography that leads to in-depth discussion of specialized topics * Problem sets at the end of each chapter that test readers’ knowledge This is a superior textbook for software engineering, computer science, information systems, and electrical engineering students, and a dependable reference for software and computer professionals and engineers.
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ISBN 10: 0471722332
ISBN 13: 9780471722335
Author: Jeff Tian
Software Quality Engineering Testing Quality Assurance and Quantifiable Improvement 1st Edition Table of contents:
Chapter 1: Introduction to Software Quality Engineering
- Definition and Concepts of Software Quality
- Quality vs. Testing vs. Quality Assurance
- The Role of Software Quality Engineering in the Development Lifecycle
- Software Engineering Process Models
Chapter 2: Foundations of Quality Assurance
- The Principles of Quality Assurance
- Process Improvement Frameworks (CMMI, ISO 9000, Six Sigma)
- Metrics in Software Quality
- Defining Quality Goals and Standards
Chapter 3: Testing Fundamentals
- What is Software Testing?
- Levels of Testing: Unit, Integration, System, and Acceptance Testing
- Types of Testing: Manual vs. Automated
- Test Case Design and Execution
Chapter 4: Software Testing Techniques
- Black-box and White-box Testing
- Regression Testing and Its Importance
- Load and Performance Testing
- Security and Usability Testing
Chapter 5: Software Quality Models and Frameworks
- Quality Assurance Models: ISO, TQM, and Six Sigma
- Agile Testing Models and Practices
- Capability Maturity Model Integration (CMMI)
- The Importance of Metrics in Improving Quality
Chapter 6: Automation in Software Testing
- The Need for Test Automation
- Benefits and Challenges of Automated Testing
- Tools for Test Automation (Selenium, QTP, etc.)
- Strategies for Successful Test Automation Implementation
Chapter 7: Managing Quality Assurance and Testing Teams
- Building and Leading Effective QA Teams
- Defining Roles and Responsibilities in Quality Assurance
- Resource Allocation and Team Structure
- Communication and Collaboration with Development Teams
Chapter 8: Quantifying Software Quality
- Key Performance Indicators (KPIs) for Quality Assurance
- Using Metrics for Continuous Improvement
- The Role of Data in Improving Quality
- Balancing Quantitative and Qualitative Measures
Chapter 9: Risk-Based Testing
- Introduction to Risk-Based Testing
- Identifying and Prioritizing Risks
- Risk Mitigation and Test Coverage Strategies
- Managing Uncertainty in Software Projects
Chapter 10: Continuous Improvement in Software Quality
- Building a Culture of Continuous Improvement
- Techniques for Identifying Areas of Improvement
- Implementing Feedback Loops
- Leveraging Retrospectives and Post-Mortems
Chapter 11: Case Studies in Software Quality Engineering
- Real-World Examples of Quality Engineering in Action
- Lessons Learned from Industry Case Studies
- Challenges Faced and Solutions Implemented
Chapter 12: The Future of Software Quality Engineering
- Emerging Trends in Software Testing and Quality Assurance
- The Impact of AI and Machine Learning on Quality Engineering
- Preparing for Evolving Software Quality Standards
- Conclusion and Final Thoughts
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