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Welcome to the Software Life Cycle Models MCQs Page

Dive deep into the fascinating world of Software Life Cycle Models with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Software Life Cycle Models, a crucial aspect of Software Engineering. In this section, you will encounter a diverse range of MCQs that cover various aspects of Software Life Cycle Models, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Software Engineering.

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Check out the MCQs below to embark on an enriching journey through Software Life Cycle Models. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Software Engineering.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Software Life Cycle Models. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Software Life Cycle Models MCQs | Page 23 of 32

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Answer: (a).A method of developing software where the prototype is discarded after the prototyping phase Explanation:Throwaway prototyping is a method where the prototype is discarded after the prototyping phase, and a new system is developed with the gathered requirements.
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Answer: (b).A method of developing software where the prototype is evolved to the final product Explanation:Evolutionary prototyping is a method where the prototype is evolved to the final product through a series of iterations where new or changed requirements trigger the next cycle.
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Answer: (c).The resulting system has fewer features Explanation:Advantages of prototyping include that the resulting system has fewer features, user needs are better accommodated, problems are detected earlier and the development incurs less effort.
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Answer: (d).Both b and c Explanation:Disadvantages of prototyping include that the resulting system has more features, the performance of the resulting system is worse, the design is of lesser quality, and the development incurs more effort.
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Answer: (b).When the system has a considerable emphasis on the user interface and high degree of user interaction Explanation:Prototyping is particularly useful for systems with a considerable emphasis on the user interface and which show a high degree of user interaction, as it allows to quickly create a working model of the system to test and verify the usability of the proposed system.
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Answer: (b).A method of building software in which the functionality of the system is produced and delivered to the customer in small increments Explanation:Incremental development is a method of building software in which the functionality of the system is produced and delivered to the customer in small increments, starting from the existing situation and proceeding towards the desired situation in a number of small steps. This method is used to avoid the "Big Bang" effect and to fight the "overfunctionality" syndrome.
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Answer: (c).Difficulty in understanding the requirements Explanation:The main difficulty faced by users in expressing their requirements precisely is their difficulty in understanding their own requirements.
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Answer: (a).To test the usability of the proposed system Explanation:Prototypes are useful in software development as they allow users to test the usability of the proposed system before large investments are made to realize the system.
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Answer: (a).Avoiding the 'Big Bang' effect Explanation:The main advantage of incremental development approach is that it avoids the 'Big Bang' effect by producing and delivering the functionality of the system in small increments, allowing for a more gradual and manageable transition to the final system.
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Answer: (d).A model in which the development process is completed in a spiral Explanation:The spiral model of software development process proposed by Boehm is a model in which the development process is completed in a series of small steps, where each convolution of the spiral focuses on identifying and solving the sub-problem with the highest associated risk.

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