Intermediate Cocomo

Duration: 3 min

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Inside: a video lesson and guided study material.

Module outline

  1. HPSC Interview Preparation: Interview Preparation
  2. Python Language: 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
  3. Data Structure & Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Sorting Algorithms, Minimum Spanning Trees, Time Complexity Analysis, Graph Theory, Shortest Path Algos
  4. Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security
  5. Computer System & Organisation: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Programming the Basic Computer
  6. Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, SQL, File Organization & Indexing, Transaction Management, Concurrency Control
  7. Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling
  8. Digital Logic & Circuits: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  9. Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Pushdown Automata & CFG, Turing Machines, Moore & Mealy Machines
  10. Compiler Design: 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
  11. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Data Warehousing & Mining
  12. Introduction to Emerging Trends: Emerging Tech Trends
  13. Digital Society & Cyber Law: Society, Law & Ethics
  14. HPSC PGT Previous Year Paper:
  15. HPSC Assistant Professor Previous Year Paper:
  16. Live Sessions: HPSC Live Sessions, EMRS TGT/PGT Live Class
  17. Full Mock Test:
  18. HPSC PGT - MOCK Test Series:
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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