DCA3103 SOFTWARE ENGINEERING APRIL 2025
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Description
SESSION | MARCHÂ 2025 |
PROGRAM | BACHELOR OF COMPUTER APPLICATIONS (BCA) |
SEMESTER | V |
COURSE CODE & NAME | DCA3103 SOFTWARE ENGINEERING |
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SET-I
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Q1. Describe the software applications and objectives of software engineering.     5+ 5  Â
Ans 1.
Understanding Software Applications
Software applications are designed programs that execute specific functions to meet user needs. They can be categorized based on their use into system software, application software, embedded software, web-based software, and mobile applications. System software includes operating systems and device drivers that manage hardware resources. Application software includes productivity tools such as Microsoft Word, Excel, and specialized programs like ERP systems. Embedded software runs on dedicated devices like washing machines, smart TVs, and industrial
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Q2. Describe the various software development life cycle models:
- I) Waterfall Model
- II) Iterative Model 5+ 5
Ans 2.
The Waterfall Model
The Waterfall Model is one of the earliest and most traditional software development life cycle (SDLC) models. It follows a linear and sequential approach where each phase must be completed before the next one begins. The key stages include requirement gathering, system design, implementation, testing, deployment, and maintenance. Each stage has its own deliverables and review processes, ensuring clarity and structure throughout the development cycle.
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Q3. Define software reliability. How does it differ from fault and failure?       5+ 5  Â
Ans 3.
Software Reliability
Software reliability refers to the probability that a software system will function without failure under given conditions for a specified period of time. It is one of the key attributes of software quality and is essential for building trust in any software application. Reliable software is expected to operate consistently, perform its intended functions correctly, and deliver expected results even under varying conditions. Reliability is measured using metrics such as Mean Time
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Q4. Describe various software testing techniques:
- I) White Box Testing
- II) Black Box Testing 5+ 5
Ans 4.
White Box Testing
White Box Testing, also known as clear box or structural testing, is a method of testing software with knowledge of the internal structure, logic, and code of the application. This technique allows testers to examine the internal operations of a program and validate paths, loops, conditions, and statements for accuracy and efficiency. The objective of white box testing is to ensure that the internal operations of the software are functioning as expected and to identify
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Q5. I) Explain the differences between verification and validation (V&V).
- II) Compare traditional software engineering with modern software practices. 5+ 5
Ans 5.
- I) Differences Between Verification and Validation
Verification and Validation (V&V) are two critical components of software quality assurance that aim to ensure a software product meets its requirements and performs as intended. Though often used interchangeably, they serve different purposes.
Verification refers to the process of evaluating software during development to ensure it aligns with specifications and design requirements. It answers the question, “Are we building the
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Q6. Explain Data Analytics and Business Intelligence. 10
Ans 6.
Data Analytics
Data Analytics refers to the process of collecting, processing, analyzing, and interpreting data to extract meaningful insights, patterns, and trends that support decision-making. It involves using mathematical, statistical, and computational techniques to transform raw data into actionable knowledge. The primary goal of data analytics is to enable organizations to make data-driven
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