Computer Science: An Overview: Global Edition (12th Edition)

Published by Pearson Higher Education
ISBN 10: 1292061162
ISBN 13: 978-1-29206-116-0

Chapter 7 - Software Engineering - Chapter Review Problems - Page 368: 46

Answer

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Work Step by Step

Let's consider some analogies of black-box and glassbox testing in fields other than software engineering: 1. **Automobile Industry:** - **Black-box testing:** Testing a car's performance by observing its overall functionality without knowing the internal mechanics, similar to how a user would interact with it without knowing its internal workings. - **Glassbox testing:** Examining the internal components of a car, such as the engine, transmission, and electronics, to assess their performance and identify potential issues. 2. **Medical Field:** - **Black-box testing:** Evaluating the effectiveness of a new drug by analyzing its outcomes and side effects without understanding its biochemical mechanisms. - **Glassbox testing:** Investigating the biochemical pathways and interactions of a drug within the body to understand its mode of action and potential implications for patient health. 3. **Education:** - **Black-box testing:** Assessing students' understanding of a subject by evaluating their performance on exams or projects without examining their thought processes or learning strategies. - **Glassbox testing:** Analyzing students' problem-solving methods and reasoning skills through open-ended questions or discussions to gain insights into their learning approaches and areas for improvement. 4. **Product Design:** - **Black-box testing:** Testing a consumer product's usability and functionality based on user feedback and behavior without delving into the design and engineering aspects. - **Glassbox testing:** Examining the design specifications, materials, and manufacturing processes of a product to ensure its quality, reliability, and safety standards are met. These analogies demonstrate how the concepts of black-box and glassbox testing can be applied across various domains to ensure quality, reliability, and effectiveness in different systems and processes.
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