Intermediate Cocomo
Duration: 3 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
Module outline
- English Comprehension/Verbal Ability: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Vocabulary, Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Subject Verb Agreement (Verb Noun Agreement), Tenses, Verb, Articles, Preposition, Conjunction, Pronoun, Noun, Adjectives, Adverb, Modals, Cloze Test (Cloze Passage), Active Passive Voice (Voice), Direct and Indirect Speech, Sentence Construction
- Logical Ability: Coding Decoding, Directions (Direction Test), Analogy, Inequality, Data Sufficiency, Series (Number and Letter Series) (Numerical Relations and Reasoning), Syllogisms, Seating Arrangements, Puzzle Solving (Puzzles), Blood Relations, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Ranking, Order and Sequence, Logical Sequence Of Words, Data Arrangement, Venn Diagram, Calendar, Clock
- Quantitative Ability: Logarithm, Permutation and Combination, Probability, Profit and Loss, Speed Time and Distance, Mixture and Alligation, Partnership, Simple Interest and Compound Interest, Percentage, Ratio and Proportion (Ratios), Average, Time and Work, Pipe and Cistern, Number System, Divisibility Rules, HCF LCM, Algebra, Powers and Exponents (Surds and Indices), Mensuration and Geometry, Age Problems, Data Interpretation, Sequence and Series (Series)
- Basic Analytical Ability: Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analytical Reasoning (Counting Figures Reasoning), Cubes & Dices, Selection Decision Table (Decision Making)
- Computer Programming: Pseudo Codes, Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir
- DBMS (Computer Science): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Transaction Management, Concurrency Control, Database Security & Authorization
- SQL (Computer Science): SQL
- OS (Computer Science): Introduction to OS, Process Management, CPU Scheduling, Deadlock, Process Synchronization, Threads & Process Creation, Memory Management, Virtual Memory, File Management
- Computer Networks (Computer Science): 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
- Data Structures (Computer Science): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
- OOPs (Computer Science): Object Oriented Programming (OOPS)
- Software Engineering (Computer Science): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
- SVAR Conversational - Spoken English: Communication Assessment
- HR Interview: MR & HR Interview Preparation
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
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.
2:00 – 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.