Graph Based Testing Methods

Duration: 1 min

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Inside: a video lesson and guided study material.

Module outline

  1. Quantitative Ability: Percentage, Profit and Loss, Ratio and Proportion (Ratios), Average, Time and Work, Speed Time and Distance, Simple Interest and Compound Interest, Age Problems, Number System, Divisibility Rules, HCF LCM, Algebra, Permutation and Combination, Probability, Data Interpretation, Logarithm, Sequence and Series (Series), Powers and Exponents (Surds and Indices), Speed Mathematics and Basic Mathematics
  2. Logical Reasoning: Seating Arrangements, Puzzle Solving (Puzzles), Data Arrangement, Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Data Sufficiency, Venn Diagram, Inequality, Series (Number and Letter Series) (Numerical Relations and Reasoning), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Analogy, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning)
  3. Verbal Ability: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Subject Verb Agreement (Verb Noun Agreement), Tenses, Articles, Preposition, Conjunction, Modals, Active Passive Voice (Voice), Direct and Indirect Speech, Vocabulary, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Completion (Fill in the blanks), Sentence Correction (Error Correction), Cloze Test (Cloze Passage), Facts, Inference and Judgements
  4. Programming Fundamentals (Technical): C Fundamentals
  5. Data Structures (Technical): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  6. Algorithms (Technical): Algorithm Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Time Complexity Analysis, Advanced Algorithms
  7. OOPs (Technical): Object Oriented Programming (OOPS)
  8. DBMS (Technical): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
  9. SQL (Technical): SQL
  10. Operating Systems (Technical): Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
  11. Computer Networks (Technical): 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, Cloud Computing and IoT, Cyber and Info Security
  12. Software Engineering (Technical): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  13. Coding/Automata Round: Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir, Pseudo Codes
  14. Personality / Behavioral Assessment: Behavioral Assessment (Behavioral Competency Profiling) (Psychometric Test)
  15. Writing Assessment: English Writing Ability
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video presents a lecture on 'Graph-Based Testing Methods' for software testing. The instructor, Sanchit Jain from Knowledge Gate, explains that this method uses a graphical representation where nodes represent states and edges represent transitions between those states. The core concept is to model the software's behavior as a graph to identify test paths. As a practical example, the instructor describes a web application with Login, Dashboard, and Logout screens, where each screen is a state (node) and the navigation between them is a transition (edge). The video then demonstrates this by drawing a simple state transition diagram on the screen, showing three nodes labeled S1, S2, and S3 connected by arrows, representing the flow from Login to Dashboard to Logout. The lecture is delivered over a slide with bullet points and a video feed of the instructor, concluding with a 'Thanks for Watching' screen.

Chapters

  1. 0:00 – 1:18 00:00-01:18

    The video begins with a title card for 'SOFTWARE ENGINEERING' and '#knowledgegate'. It then transitions to a presentation slide titled 'Graph-Based Testing Methods'. The slide lists key points: it uses a graphical representation for software testing, nodes represent states, and edges represent transitions. An example is given for a web app with Login, Dashboard, and Logout screens, where test paths like 'Login -> Dashboard -> Logout' are defined. The instructor, Sanchit Jain, appears in a video feed and begins to explain the concept. As he speaks, a diagram is drawn on the slide, showing three nodes (S1, S2, S3) connected by arrows, visually representing the state transitions. The instructor's explanation is supported by the on-screen text and the evolving diagram. The video concludes with a 'THANKS FOR WATCHING' screen.

The video effectively teaches the concept of graph-based testing by first defining its core principles—states as nodes and transitions as edges—and then immediately applying them to a real-world example. The progression from abstract definition to a concrete, visual diagram on the screen provides a clear and practical understanding of how to model software behavior for testing purposes.

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