Unit 5: Software Testing, Maintenance, Reliability & Reengineering

Unit 5 Learning Hub

Software Testing, Maintenance, Reliability & Reengineering

Official MJPRU BCA Unit 5: Software Testing, Maintenance, Reliability & Reengineering for BCA-423E (Software Engineering).

Syllabus Topics:Software Testing Fundamentals: Verification vs Validation (V&V - Boehm's Question), Error vs Fault (Defect/Bug) vs FailureTesting Psychology & Principles: Exhaustive Testing is Impossible, Pesticide Paradox, Early Testing Saves CostsWhite-Box (Glass-Box / Structural) Testing: Basis Path Testing, Control Flow Graphs (CFG), Cyclomatic Complexity FormulaCoverage Criteria: Statement Coverage, Branch / Decision Coverage, Condition Coverage, Path CoverageBlack-Box (Functional / Behavioral) Testing: Equivalence Partitioning (Valid and Invalid Classes), Boundary Value Analysis (BVA)Specialized Black-Box Techniques: Cause-Effect Graphing, Decision Table Testing, Error GuessingStrategic Levels of Testing: Unit Testing (Stubs and Drivers), Integration Testing (Top-Down, Bottom-Up, Big-Bang, Sandwich)System Testing (Sanity, Smoke, Stress, Load, Performance, Security Testing), Regression Testing, Acceptance Testing (Alpha & Beta Testing)Debugging Process & Strategies: Brute Force, Backtracking, Cause Elimination, Automated Debugging ToolsSoftware Maintenance: Meaning, Need, Categories of Maintenance (Corrective, Adaptive, Perfective, Preventive Maintenance)Software Maintenance Cost Drivers: Lehman's Laws of Software Evolution, Reverse Engineering and Software Reengineering CycleSoftware Reliability and Availability: Mean Time Between Failures (MTBF = MTTF + MTTR), Availability Formula (A = MTTF / (MTTF + MTTR))Cleanroom Software Engineering Approach: Zero-Defect Philosophy, Formal Specification, Statistical Usage Testing without Unit TestingSoftware Reuse & Standards: Component-Based Software Engineering (CBSE), IEEE Software Engineering Standards (IEEE 730, 829, 830, 1012, 1074)

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Introduction to Computers & The IPO Cycle

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Topic 1 · The foundation of modern computing

Introduction to Computers & The IPO Cycle

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Ready to master this concept? Give it a quick read & tap the check!

💡 The Big Picture:A computer is an electronic system that takes raw data as Input, processes it under programmed logic, and produces meaningful Information as Output.

🍪 Everyday Analogy:Think of baking cookies: Flour & Sugar (Input) ➔ The Oven (Processing) ➔ Warm Delicious Cookie (Output)! 🍪

Key Exam Takeaways

·Data = Raw, unprocessed facts without context (e.g. 42, 'apple').
·Information = Structured data with meaning (e.g. 'Temperature: 42°C').
·Hardware is what you can touch; Software is the instructions running inside.

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Which of the following represents unprocessed raw facts?

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