Empirical Models

Duration: 5 min

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Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. Paper 2 | Digital Logic: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Floating Point Rep
  3. Paper 2 | Computer Organization And Architecture: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Control Unit Design, Instr Formats & Modes, Programming the Basic Computer
  4. Paper 2 | Analog And Digital Communication: Introduction to Communication Systems & Random Signals, Analog Communication Systems, Information Theory & Digital Communication Fundamentals, Digital Modulation & Detection Techniques, Error Control, Synchronization & Multiple Access Techniques
  5. Paper 2 | Programming in C: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  6. Paper 2 | Data Structures And Programming: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Java, OOPS with C++, Java Fundamentals, Array, String, IO & References
  7. Paper 2 | Algorithms: Algorithm Analysis, Sorting Algorithms, Time Complexity Analysis, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos
  8. Paper 2 | 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
  9. Paper 2 | 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
  10. Paper 2 | Databases: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, Relational Calculus, File Organization & Indexing, Transaction Management, Concurrency Control
  11. Paper 2 | Information Systems and Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  12. Paper 2 | 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, Hardware Basics
  13. Paper 2 | Internet & Web Technologies: Website, Browser & Services, Internet Fundamentals, Web Design & Development, Protocols & Services, Web Publishing & Hosting, Server Side & Security, Emerging Technologies, HTML Basics, JavaScript-Basics, CSS, XML, HTML5
  14. Paper 2 | Cyber Security And Emerging Technologies: Emerging Tech Trends
  15. Paper 2 | Cloud Technology: Cloud Computing
  16. Paper 2 | Probability and statistics: Probability, Statistics
  17. Paper-1 English: Vocabulary, Preposition, Articles, Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Cloze Test (Cloze Passage), Sentence Construction
  18. Paper 1 General Mental Ability & Logical reasoning: Ratio and Proportion (Ratios), Divisibility Rules, Data Interpretation, Mixture and Alligation, Permutation and Combination, Logarithm, Number System, HCF LCM, Sequence and Series (Series), Speed Time and Distance, Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Percentage, Average, Powers and Exponents (Surds and Indices), Algebra, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Pipe and Cistern, Mensuration and Geometry, Mental Ability, Age Problems, Partnership, Arithmetic, Speed Mathematics and Basic Mathematics, Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Seating Arrangements, Blood Relations, Directions (Direction Test), Analytical Reasoning (Counting Figures Reasoning), Puzzle Solving (Puzzles), Calendar, Clock, Cubes & Dices, Selection Decision Table (Decision Making), Logical Sequence Of Words, Venn Diagram, Analogy
  19. Paper-1 General Knowledge & Current Affairs: State Wise GK, History, Geography, GK- Current Affairs, Static General Knowledge
  20. Full Length Mock Test:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video provides a lecture on software estimation models, specifically focusing on empirical models and the COCOMO (Construction Cost Model) framework. The presentation begins by defining empirical models as estimation techniques that use formulas derived from historical data, based on metrics like Lines of Code (LOC) or Function Points (FP). It then introduces the COCOMO model, developed by Barry Boehm in 1981, as the most widely used and universally accepted regression-based estimation technique. The lecture details the three primary software classes defined by COCOMO: Organic (application), Semidetached (utility), and Embedded (system), explaining that classification is based on product and team characteristics. The video concludes by presenting a worked example, writing the formula 'E = 100 pm' on the screen, which represents the effort (E) in person-months for a project, illustrating the application of the model.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a title card for 'SOFTWARE ENGINEERING' from 'Knowledge Gate'. The lecture begins by defining 'Empirical models' as estimation models that use empirically derived formulas for predicting based on LOC or FP. The instructor explains that different authors provide different mathematical formulas for these models. The slide states that out of all COCOMO models, the most versatile and universally accepted one is being discussed. The instructor, visible in a small window, begins to explain the concept, and the text 'E = 100 pm' is written on the screen, representing a formula for effort estimation.

  2. 2:00 – 4:49 02:00-04:49

    The lecture transitions to the COCOMO (1981) model, which is described as the most widely used estimating technique. The instructor explains it is a regression-based model developed by Barry Boehm, which postulates three important classes of software. The slide lists these as Organic (application), Semidetached (utility), and Embedded (system). The instructor elaborates on the classification criteria, stating that product characteristics and development team characteristics are considered. Examples are given: data processing and scientific programs are applications, while compilers and linkers are utilities. The slide also mentions that the relative complexity of these three categories is in the ratio 1:3:9 for application, utility, and system programs, respectively. The instructor continues to explain the model's application, with the 'E = 100 pm' formula remaining visible on the screen as a key example.

The video presents a structured lesson on software cost estimation, progressing from the general concept of empirical models to the specific, widely-accepted COCOMO framework. It establishes the foundational idea that estimation relies on formulas derived from past data, then narrows the focus to COCOMO as the premier model. The core of the lesson is the classification of software into three distinct types—Organic, Semidetached, and Embedded—based on their complexity and development context. This classification is crucial for applying the COCOMO model correctly, as it dictates the parameters used in the estimation formula, which is exemplified by the 'E = 100 pm' equation. The synthesis of these concepts provides a clear methodology for estimating software project effort.

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