Agile Model

Duration: 10 min

This video lesson is available to enrolled students.

Return to /learn/BIHAR-STET-COMPUTER-SCIENCE-COMPLETE-COURSE/unit-8-software-engineering/fundamentals-of-software-engineering/classical-software-process-models/asset-agile-model after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About the course: About the Course
  2. Mathematical Aptitude: Number System, HCF LCM, Divisibility Rules, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Time and Work, Mensuration and Geometry, Simple Interest and Compound Interest, Speed Time and Distance, Age Problems, Mixture and Alligation, Algebra, Powers and Exponents (Surds and Indices), Pipe and Cistern, Trigonometry, Statistics, Data Interpretation, Arithmetic
  3. Logical Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Analogy, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Seating Arrangements, Syllogisms, Venn Diagram, Puzzle Solving (Puzzles), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Analytical Reasoning (Counting Figures Reasoning), Cubes & Dices, Calendar, Clock
  4. General Knowledge: Physics, Chemistry, Biology, History, Geography, Polity, Indian Economy, GK- Current Affairs, Static General Knowledge
  5. Art of Teaching: Nature, Objectives & Characteristics of Teaching, Learners & Learning Process, Factors Affecting Teaching, Methods of Teaching, Classroom Management & Communication, Teaching-Learning Aids & ICT Integration, Evaluation, Assessment & Measurement, Professional Development & Ethics, Policies, Acts & Contemporary Issues, Curriculum & School Environment, Guidance, Counselling & Mental Health, Inclusive Education & Special Needs, Micro-Teaching & Teaching Skills, Lesson Planning
  6. Environmental Science: Environment
  7. Unit 1 | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  8. Unit 2 | COA: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Programming the Basic Computer
  9. Unit 3 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  10. Unit 3 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  11. Unit 4 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  12. Unit 5 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management
  13. Unit 6 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Transaction Management, Concurrency Control
  14. Unit 7 | Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer
  15. Unit 8 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  16. Unit 9 | Object Oriented Programming: OOPS with C++
  17. Unit 10 | Web Development: HTML Basics, CSS, JavaScript-Basics, XML
  18. Unit 11 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines
  19. Unit 12 | IoT: Emerging Tech Trends, Cloud Computing
  20. Unit 13 | Artificial Intelligence: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms
  21. Unit 14 | E-Commerce: Electronic Data Interchange and E-Commerce, Role of Internet and Web Services, Security in Mobile and Wireless Computing, Physical Security and Cryptography Basics, Cyber Safety and Security
  22. Unit 15 | Multimedia: Multimedia
  23. Unit 16 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis, DSA using Python
  24. Full Length Mock Tests — General Paper:
  25. Full Length Mock Tests — Computer Science (Paper II):
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This lecture introduces the Agile Model of software development, tracing its origin to 17 developers and the 2001 Manifesto for Agile Software Development. It defines Agile as an iterative, incremental approach suited to dynamic requirements, emphasizing continuous customer collaboration and short delivery cycles called sprints. The instructor walks through the Agile Software Development Cycle—requirements, design, development, testing, deployment, and review—as a repeating loop that returns to requirements for the next sprint. A comparison with Waterfall uses a pottery analogy: Waterfall is rigid and step-by-step, while Agile iteratively improves the product. The lecture closes with advantages (early working software, early bug detection, flexibility to accept changes) and disadvantages (uncertain final cost and delivery date, heavy customer involvement).

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The lecture opens with the 'Agile Model' slide, naming 17 software developers (including Jeff Sutherland, Ken Schwaber, and Kent Beck) and the 'Manifesto for Agile Software Development' from 2001. The instructor underlines key terms, circles the team photo, and adds handwritten notes such as '5 Dev' and 'DMS -> 121'. Agile is defined as an iterative and incremental approach for dynamic requirements, with continuous customer collaboration and quick delivery cycles called Sprints. A circular 'AGILE SOFTWARE DEVELOPMENT CYCLE' diagram appears, with red arrows tracing REQUIREMENTS, DESIGN, DEVELOPMENT, TESTING, and REVIEW.

  2. 2:00 – 5:00 02:00-05:00

    The slide shifts to 'Phases of Agile Model', describing a 'repeating cycle' that 'comes back to Requirement again for the next sprint.' A numbered list shows 1. Requirement, 2. Design, 3. Development, and 4. Testing; the Requirement heading has a red checkmark and handwritten 'ye'. The instructor then covers 5. Deployment and 6. Review on the cycle diagram, using red circles to emphasize phases. A 'Why Agile Was Needed' slide contrasts Waterfall's late-delivery risk with Agile, and handwritten notes trace plan, design, and final delivery.

  3. 5:00 – 9:40 05:00-09:40

    A two-column slide compares 'Class A – Waterfall Model' and 'Class B – Agile Model' using a pottery analogy, with red circles over the word 'perfect' and clay pots illustrating rigid versus iterative production. The 'Advantages of Agile' slide underlines 'working software early' and 'accept changes in requirements at any stage', with panels like 'Early working software' and 'Bugs caught early'. The final 'Disadvantages of Agile' slide underlines 'final cost' and 'delivery date', circles a laptop in the customer-involvement panel, and highlights 'very large' for projects where Agile may be less suitable.

The lecture builds from origin to practice: it first establishes Agile's historical basis (17 developers, 2001 Manifesto) and core definition (iterative/incremental, customer collaboration, sprints). It then operationalizes the model through a six-phase repeating cycle—requirements, design, development, testing, deployment, review—that loops back to requirements each sprint. The Waterfall comparison via the pottery analogy clarifies why Agile suits changing requirements: instead of one 'perfect' final product, it delivers and refines incrementally. Advantages (early working software, early bug detection, change acceptance) are balanced by disadvantages (uncertain final cost and delivery date, need for continuous customer involvement), giving students a complete decision framework for when to use Agile.

Loading lesson…