Cyclomatic Complexity

Duration: 4 min

This video lesson is available to enrolled students.

Return to /learn/BIHAR-STET-COMPUTER-SCIENCE-COMPLETE-COURSE/unit-8-software-engineering/software-design-estimation-and-metrics/software-metrics-and-complexity/asset-cyclomatic-complexity after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About the course: About the Course
  2. Mathematical Aptitude: Number System, HCF LCM, Divisibility Rules, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Time and Work, Mensuration and Geometry, Simple Interest and Compound Interest, Speed Time and Distance, Age Problems, Mixture and Alligation, Algebra, Powers and Exponents (Surds and Indices), Pipe and Cistern, Trigonometry, Statistics, Data Interpretation, Arithmetic
  3. Logical Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Analogy, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Seating Arrangements, Syllogisms, Venn Diagram, Puzzle Solving (Puzzles), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Analytical Reasoning (Counting Figures Reasoning), Cubes & Dices, Calendar, Clock
  4. General Knowledge: Physics, Chemistry, Biology, History, Geography, Polity, Indian Economy, GK- Current Affairs, Static General Knowledge
  5. Art of Teaching: Nature, Objectives & Characteristics of Teaching, Learners & Learning Process, Factors Affecting Teaching, Methods of Teaching, Classroom Management & Communication, Teaching-Learning Aids & ICT Integration, Evaluation, Assessment & Measurement, Professional Development & Ethics, Policies, Acts & Contemporary Issues, Curriculum & School Environment, Guidance, Counselling & Mental Health, Inclusive Education & Special Needs, Micro-Teaching & Teaching Skills, Lesson Planning
  6. Environmental Science: Environment
  7. Unit 1 | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  8. Unit 2 | COA: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Programming the Basic Computer
  9. Unit 3 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  10. Unit 3 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  11. Unit 4 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  12. Unit 5 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management
  13. Unit 6 | 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, Transaction Management, Concurrency Control
  14. Unit 7 | 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
  15. Unit 8 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  16. Unit 9 | Object Oriented Programming: OOPS with C++
  17. Unit 10 | Web Development: HTML Basics, CSS, JavaScript-Basics, XML
  18. Unit 11 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines
  19. Unit 12 | IoT: Emerging Tech Trends, Cloud Computing
  20. Unit 13 | Artificial Intelligence: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms
  21. Unit 14 | E-Commerce: Electronic Data Interchange and E-Commerce, Role of Internet and Web Services, Security in Mobile and Wireless Computing, Physical Security and Cryptography Basics, Cyber Safety and Security
  22. Unit 15 | Multimedia: Multimedia
  23. Unit 16 | Python: 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
  24. Full Length Mock Tests — General Paper:
  25. Full Length Mock Tests — Computer Science (Paper II):
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video provides a comprehensive lecture on Cyclomatic Complexity, a key software metric. The presentation begins by introducing the concept as a practical method for determining the maximum number of linearly independent paths in a program, which is difficult to calculate for complex code. The core of the lecture defines Cyclomatic Complexity as a software metric that measures control flow complexity by counting the number of linearly independent paths through source code. This definition is illustrated with a detailed example of a C program containing a while loop, an if-else statement, and a switch-case structure. The instructor then demonstrates the process of creating a control flow graph from the code, where each node represents a statement and edges represent control flow. The video concludes by showing the instructor using a digital pen to trace the paths on the graph, visually demonstrating how to count the independent paths to determine the cyclomatic complexity, which is a fundamental concept in software testing and quality assurance.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a title card for 'SOFTWARE ENGINEERING' from 'Knowledge Gate'. It then transitions to a lecture slide titled 'Cyclomatic Complexity'. The instructor, Sanchit Jain, explains that for complex programs, it is difficult to determine the number of independent paths. He states that cyclomatic complexity provides a practical way to determine the maximum number of linearly independent paths in a program. The slide contains two bullet points outlining this concept, and the instructor is visible in a small window at the bottom right, speaking into a microphone. The content is presented as copyrighted material from Knowledge Gate Eduventures.

  2. 2:00 – 3:42 02:00-03:42

    The slide changes to provide a formal definition: 'Cyclomatic complexity is a software metric that measures the complexity of a program's control flow by counting the number of linearly independent paths through the source code.' To illustrate this, a C code snippet is shown on the left, and a corresponding control flow graph is on the right. The code includes a while loop, an if-else statement, and a switch-case statement. The instructor uses a digital pen to draw red circles around the nodes in the graph, tracing the paths to demonstrate how to count the linearly independent paths. He highlights the different branches of the if-else and switch statements, showing how they contribute to the total path count. The instructor's voiceover explains the process of creating the graph and counting the paths, which is the essence of calculating cyclomatic complexity.

The video effectively teaches the concept of Cyclomatic Complexity by first establishing its importance as a practical tool for analyzing complex software. It then provides a clear, formal definition and immediately follows with a concrete, step-by-step example. The use of a real C code snippet and a corresponding control flow graph allows the viewer to see the direct application of the theory. The instructor's visual demonstration of tracing the paths on the graph is a key pedagogical element, making the abstract concept of 'linearly independent paths' tangible and understandable. The progression from definition to practical application creates a coherent and effective learning experience.

Loading lesson…