Intermediate Cocomo

Duration: 3 min

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Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. General Aptitude & Reasoning: Number System, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Speed Time and Distance, Mixture and Alligation, Data Interpretation, Algebra, Probability, Permutation and Combination, Venn Diagram, HCF LCM, Divisibility Rules, Age Problems, Pipe and Cistern, Partnership, Linear Algebra, Sequence and Series (Series), Statistics, Powers and Exponents (Surds and Indices), Arithmetic, Mensuration and Geometry, Calculus, Trigonometry, Vectors, Speed Mathematics and Basic Mathematics, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analogy, Series (Number and Letter Series) (Numerical Relations and Reasoning), Puzzle Solving (Puzzles), Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Calendar, Seating Arrangements, Coding Decoding, Blood Relations, Directions (Direction Test), Clock, Analytical Reasoning (Counting Figures Reasoning), Ranking, Order and Sequence, Logical Sequence Of Words, Inequality, Data Sufficiency, Cubes & Dices
  3. Computer Networks & Cybersecurity: 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
  4. Programming, Data Structures & Algorithms: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, OOPS with C++, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  5. AI, Machine Learning, Big Data & Cloud: Emerging Tech Trends, Artificial Intelligence, Big Data Systems, Approaches to AI, Search Algorithms, Knowledge Representation, Cloud Computing
  6. Digital Logic & Computer Organization: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer
  7. TOC & Compiler: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory, 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
  8. Discrete Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic
  9. Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS, Linux OS, Distributed Systems
  10. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Object Oriented Technology, HTML Basics, JavaScript-Basics, Java, XML
  11. 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, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, Data Warehousing & Mining, Enhanced Data Models, NoSQL
  12. Other Recurring CS Topics: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, Multimedia
  13. Live Classes: ISRO Live classes
  14. Full Mock Test:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video provides a detailed explanation of the Intermediate COCOMO (Constructive Cost Model) software estimation technique. The lecture begins by defining Intermediate COCOMO as an extension of the Basic COCOMO model that refines effort and duration estimates by incorporating 15 cost drivers related to product, hardware, and personnel attributes. The core of the model is the formula D_E = a (KLOC)^b X EAF, where D_E is the effort, a and b are mode-specific constants, KLOC is the size in thousands of lines of code, and EAF is the Effort Adjustment Factor. The video presents a table with values for a, b, and EAF for three modes: Organic, Semidetached, and Embedded. A worked example is demonstrated on the board, calculating the effort for a 20 KLOC project in the Organic mode with an EAF of 1.25, resulting in an effort of 92.9 person-months. The video concludes with a thank you message.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a title card for 'SOFTWARE ENGINEERING' from '#knowledgegate'. It then transitions to a lecture slide titled 'Intermediate COCOMO'. The instructor defines Intermediate COCOMO as an extension of the Basic COCOMO model that refines effort and duration estimates by considering additional project factors like product attributes, hardware constraints, and personnel/team attributes. The slide states that it introduces 15 cost drivers to adjust the estimation and that the Effort Adjustment Factor (EAF) accounts for the influence of these cost drivers. The instructor, Sanchit Jain, is visible in a small window at the bottom right, and a copyright notice for 'KNOWLEDGE GATE EDUVENTURES' is at the bottom of the screen.

  2. 2:00 – 3:06 02:00-03:06

    The video displays a slide with a table of COCOMO parameters. The table lists the 'Mode' (Organic, Semidetached, Embedded), constants 'a' and 'b', and the '20 KLOC / EAF=1.25' value. Below this, a row for 'Effort' shows the calculated results: 92.9 PM, 107.4 PM, and 127.4 PM for the respective modes. The formula D_E = a (KLOC)^b X EAF is shown, with the 'Error Adjustment Factor' noted as a typo. The instructor then performs a calculation on the board, writing 'D_E = 3.2 (20)^1.05 X 1.25', which simplifies to '92.9'. The video ends with a 'THANKS FOR WATCHING' screen.

The video systematically teaches the Intermediate COCOMO model, starting with its definition as a more sophisticated estimation tool that accounts for project-specific factors through cost drivers. It then presents the core mathematical formula and a table of parameters for different project types. The key learning point is the application of the formula, demonstrated through a clear, step-by-step calculation that shows how the effort is computed by combining the base effort with the EAF. The progression from definition to formula to practical example provides a comprehensive understanding of the model.

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