Decomposition Based Estimation

Duration: 3 min

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Inside: a video lesson and guided study material.

Module outline

  1. Quantitative Aptitude: Ratio and Proportion (Ratios), Data Interpretation, Mixture and Alligation, Permutation and Combination, Number System, Sequence and Series (Series), Speed Time and Distance, Speed Mathematics and Basic Mathematics, Algebra, Percentage, Profit and Loss, Simple Interest and Compound Interest, Powers and Exponents (Surds and Indices), Time and Work, Mensuration and Geometry, Partnership
  2. Reasoning Ability: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Seating Arrangements, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Directions (Direction Test), Ranking, Order and Sequence, Syllogisms, Blood Relations, Puzzle Solving (Puzzles), Inequality, Machine Input-Output
  3. English Language: Vocabulary, Noun, Subject Verb Agreement (Verb Noun Agreement), Adjectives, Tenses, Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Cloze Test (Cloze Passage), Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Construction, Pronoun, Preposition, Conjunction, Adverb, Verb, Modals, Articles, Determiner, Interjection
  4. General Awareness: Evolution of Indian Banking (Banking & Financial Awareness), GK- Current Affairs, Static General Knowledge, Indian Economy
  5. C Concepts + MCQs (IT Specialist): C Programming by Yash Sir, C Language Core
  6. Java (IT Specialist): Java
  7. Python (IT Specialist): Python for Placements by Yash Sir, Python Basics
  8. OOPs (IT Specialist): Object Oriented Programming (OOPS)
  9. DBMS (IT Specialist): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
  10. SQL (IT Specialist): SQL
  11. Software Engineering (IT Specialist): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  12. Data Structure (IT Specialist): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  13. Operating System (IT Specialist): Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
  14. Compiler Design (IT Specialist): Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  15. Computer Architecture (IT Specialist): Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Multiprocessors, Programming the Basic Computer
  16. Data Communication & Networking (IT Specialist): 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, Hardware basics, Network Security
  17. Descriptive Test (Main Exam): English Writing Ability
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video is an educational lecture on software engineering estimation techniques, presented by an instructor from Knowledge Gate. The first segment introduces 'Decomposition based estimation' as a method for large projects, explaining that it involves breaking down a problem into smaller parts. It details two primary approaches: 'Direct Estimation (White Box)', which uses size-oriented metrics like KLOC (thousands of lines of code), and 'Indirect Estimation (Black Box)', which uses function-oriented metrics like FP (function points). The second segment transitions to a set of fundamental formulas for project estimation, including Effort = Size / Productivity, Cost = Effort X Pay, and Duration = Effort / Team Size. The instructor uses a whiteboard to write and explain these equations, which are displayed on the screen. The video concludes with a 'Thanks for Watching' screen.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a title card for 'SOFTWARE ENGINEERING' and '#knowledgegate'. It then transitions to a slide titled 'Decomposition based estimation'. The instructor explains that this method is used for large projects by decomposing them into smaller problems. The slide lists two estimation bases: 'Direct Estimation (White Box): Size oriented metrics (KLOC)' and 'Indirect Estimation (Black Box): Function oriented metrics (FP)'. The instructor, visible in a small window, elaborates on these concepts, with the on-screen text clearly defining the terms and their acronyms.

  2. 2:00 – 2:47 02:00-02:47

    The slide changes to display a list of formulas for project estimation. The instructor explains the relationships between key project variables. The formulas shown are: Effort = Size / Productivity, Productivity = Size / Effort, Size = Effort X Productivity, Cost = Effort X Pay, Duration = Effort / Team Size, Team Size = Effort / Duration, and Effort = Duration X Team Size. The instructor writes these equations on the whiteboard, and the text is clearly visible on the screen. The video ends with a 'THANKS FOR WATCHING' screen.

The lecture progresses from a high-level introduction to software estimation methods to the specific, quantitative formulas used to calculate project effort, cost, and duration. It first establishes the conceptual framework of decomposition-based estimation, distinguishing between direct (size-based) and indirect (function-based) methods. It then provides the core mathematical relationships that allow a project manager to derive one variable from others, forming the basis of a practical estimation process. The flow moves from theory to application.

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