Students those who are studying JNTUK R19 CSE Branch, Can Download Unit wise R19 3-1 Software Testing Methodologies (STM) Material/Notes PDFs below.

JNTUK R19 3-1 Software Testing Methodologies Material/Notes PDF Download

Course Objectives: The main objectives are

• To study fundamental concepts in software testing and discuss various software testing issues and solutions in software unit, integration, regression and system testing
• To learn how to plan a test project, design test cases and data, conduct testing, manage software problems and defects, generate a test report
• To expose the advanced software testing concepts such as object-oriented software testing methods, web-based and component-based software testing
• To understand software test automation problems and solutions
• To learn how to write software test documents and communicate with engineers in various forms

Course Outcomes: At the end of the course, the students will be able to:

• Identify and understand various software testing problems, apply software testing knowledge and engineering methods and solve these problems by designing and selecting software test models, criteria, strategies, and methods
• Design and conduct a software test process for a software project
• Analyze the needs of software test automation
• Use various communication methods and skills to communicate with their teammates to conduct their practice-oriented software testing projects
• Basic understanding and knowledge of contemporary issues in software testing, such as component-based, web based and object oriented software testing problems
• Write test cases for given software to test it before delivery to the customer and write test scripts for both desktop and web based applications

UNIT-1

Software Testing: Introduction, Evolution, Myths & Facts, Goals, Psychology, definition, Model for testing, Effective Vs Exhaustive Software Testing. Software Testing Terminology and Methodology: Software Testing Terminology, Software Testing Life Cycle, Software Testing Methodology.

Verification and Validation: Verification & Validation Activities, Verification, Verification of Requirements, High level and low level designs, verifying code, Validation.

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UNIT-2

Dynamic Testing-Black Box testing techniques: Boundary Value Analysis, Equivalence class Testing, State Table based testing, Decision table based testing, Cause-Effect Graphing based testing, Error guessing.

White-Box Testing: need, Logic Coverage criteria, Basis Path testing, Graph matrices, Loop testing, data flow testing, mutation testing.

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UNIT-3

Static Testing: Inspections, Structured Walkthroughs, Technical Reviews. Validation activities: Unit testing, Integration Testing, Function testing, system testing, acceptance testing. Regression testing: Progressives Vs regressive testing, Regression test ability, Objectives of regression testing, Regression testing types, Regression testing techniques.

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Validation testing & Unit testing

UNIT-4

Efficient Test Suite Management: growing nature of test suite, Minimizing the test suite and its benefits, test suite prioritization, Types of test case prioritization, prioritization techniques, measuring the effectiveness of a prioritized test suite Software Quality Management: Software Quality metrics, SQA models. Debugging: process, techniques, correcting bugs.

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UNIT-5

Automation and Testing Tools: need for automation, categorization of testing tools, selection of testing tools, Cost incurred, Guidelines for automated testing, overview of some commercial testing tools such as Win Runner, Load Runner, Jmeter and JUnit.

Test Automation using Selenium tool. Testing Object Oriented Software: basics, Object oriented testing Testing Web based Systems: Challenges in testing for web based software, quality aspects, web engineering, testing of web based systems, Testing mobile systems

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TEXT BOOKS:

1) Software Testing, Principles and Practices, Naresh Chauhan, Oxford

2) Software Testing, Yogesh Singh, CAMBRIDGE

REFERENCE BOOKS:

1) Foundations of Software testing, Aditya P Mathur, 2ed, Pearson

2) Software testing techniques – Baris Beizer, Dreamtech, second edition.

3) Software Testing, Principles, techniques and Tools, M G Limaye, TMH

4) Effective Methods for Software testing, Willian E Perry, 3ed, Wiley

e-Resources:

Click Here

JNTUK R19 3-1 Data Warehousing and Data Mining Material PDF Download

Students those who are studying JNTUK R19 CSE Branch, Can Download Unit wise R19 3-1 Data Warehousing and Data Mining (DW&DM) Material/Notes PDFs below.

JNTUK R19 3-1 Data Warehousing and Data Mining Material PDF Download

Course Objectives: The main objectives are

• To understand data warehouse concepts, architecture, business analysis and tools
• To understand data pre-processing and data visualization techniques
• To study algorithms for finding hidden and interesting patterns in data
• To understand and apply various classification and clustering techniques using tools

Course Outcomes: At the end of the course, the students will be able to:

• Design a Data warehouse system and perform business analysis with OLAP tools
• Apply suitable pre-processing and visualization techniques for data analysis
• Apply frequent pattern and association rule mining techniques for data analysis
• Apply appropriate classification techniques for data analysis
• Apply appropriate clustering techniques for data analysis

UNIT-1

Data Warehousing, Business Analysis and On-Line Analytical Processing (OLAP): Basic Concepts, Data Warehousing Components, Building a Data Warehouse, Database Architectures for Parallel Processing, Parallel DBMS Vendors, Multidimensional Data Model, Data Warehouse Schemas for Decision Support, Concept Hierarchies, Characteristics of OLAP Systems, Typical OLAP Operations, OLAP and OLTP.

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UNIT-2

Data Mining – Introduction: Introduction to Data Mining Systems, Knowledge Discovery Process, Data Mining Techniques, Issues, applications, Data Objects and attribute types, Statistical description of data, Data Preprocessing – Cleaning, Integration, Reduction, Transformation and discretization, Data Visualization, Data similarity and dissimilarity measures.

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UNIT-3

Data Mining – Frequent Pattern Analysis: Mining Frequent Patterns, Associations and Correlations, Mining Methods, Pattern Evaluation Method, Pattern Mining in Multilevel, MultiDimensional Space – Constraint Based Frequent Pattern Mining, Classification using Frequent Patterns

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UNIT-4

Classification: Decision Tree Induction, Bayesian Classification, Rule Based Classification, Classification by Back Propagation, Support Vector Machines, Lazy Learners, Model Evaluation and Selection, Techniques to improve Classification Accuracy

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UNIT-5

Clustering: Clustering Techniques, Cluster analysis, Partitioning Methods, Hierarchical methods, Density Based Methods, Grid Based Methods, Evaluation of clustering, Clustering high dimensional data, Clustering with constraints, Outlier analysis, outlier detection methods.

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TEXT BOOKS:

1) Jiawei Han and Micheline Kamber, “Data Mining Concepts and Techniques”, Third Edition, Elsevier, 2012.

2) Pang-Ning Tan, Michael Steinbach and Vipin Kumar, Introduction to Data Mining, Pearson, 2016

REFERENCE BOOKS:

1) Alex Berson and Stephen J.Smith, ―Data Warehousing, Data Mining & OLAP‖, Tata McGraw – Hill Edition, 35th Reprint 2016.

2) K.P. Soman, ShyamDiwakar and V. Ajay, ―Insight into Data Mining Theory and Practice‖, Eastern Economy Edition, Prentice Hall of India, 2006.

3) Ian H.Witten and Eibe Frank, ―Data Mining: Practical Machine Learning Tools and Techniques, Elsevier, Second Edition.

e-Resources:

1) https://nptel.ac.in

2) https://www.saedsayad.com

3) http://onlinecourses.nptel.ac.in (NPTEL course by Prof.Pabitra Mitra)

4) https://nptel.ac.in/ (NPTEL course by Dr. Nandan Sudarshanam & Dr. Balaraman Ravindran)

JNTUK R19 3-1 Computer Networks Material/Notes PDF Download

Students those who are studying JNTUK R19 CSE Branch, Can Download Unit wise R19 3-1 Computer Networks Material/Notes PDFs below.

JNTUK R19 3-1 Computer Networks Material/Notes PDF Download

Course Objectives: The main objectives are

• Study the basic taxonomy and terminology of the computer networking and enumerate the layers of OSI model and TCP/IP model
• Study data link layer concepts, design issues, and protocols
• Gain core knowledge of Network layer routing protocols and IP addressing
• Study Session layer design issues, Transport layer services, and protocols
• Acquire knowledge of Application layer and Presentation layer paradigms and protocols

Course Outcomes: At the end of the course, the students will be able to:

• Illustrate the OSI and TCP/IP reference model
• Analyze MAC layer protocols and LAN technologies
• Design applications using internet protocols
• Implement routing and congestion control algorithms
• Develop application layer protocols

UNIT-1

Introduction: History and development of computer networks, Basic Network Architectures: OSI reference model, TCP/IP reference model, and Networks topologies, types of networks (LAN, MAN, WAN, circuit switched, packet switched, message switched, extranet, intranet, Internet, wired, wireless).

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UNIT-2

Physical layer: Line encoding, block encoding, scrambling, modulation demodulation (both analog and digital), errors in transmission, multiplexing (FDM, TDM, WDM, OFDM, DSSS), Different types of transmission media.

Data Link Layer services: framing, error control, flow control, medium access control. Error & Flow control mechanisms: stop and wait, Go back N and selective repeat. MAC protocols: Aloha, slotted aloha, CSMA, CSMA/CD, CSMA/CA, polling, token passing, scheduling.

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UNIT-3

Local Area Network Technology: Token Ring. Error detection (Parity, CRC), Ethernet, Fast Ethernet, Gigabit Ethernet, Personal Area Network: Bluetooth and Wireless Communications Standard: Wi-Fi (802.11) and Wi-MAX.

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UNIT-4

Network layer: Internet Protocol, IPv6, ARP, DHCP, ICMP, Routing algorithms: Distance vector, Link state, Metrics, Inter-domain routing. Sub netting, Super netting, Classless addressing, Network Address Translation

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UNIT-5

Transport layer: UDP, TCP. Connection establishment and termination, sliding window, flow and congestion control, timers, retransmission, TCP extensions, Queuing theory, Single and multiple server queuing models, Little’s formula. Application Layer. Network Application services and protocols including e-mail, www, DNS, SMTP, IMAP, FTP, TFTP, Telnet, BOOTP, HTTP, IPSec, Firewalls.

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TEXT BOOKS:

1) Computer Networks , Andrew S. Tanenbaum, David J. Wetherall, Pearson Education
India; 5 edition, 2013

2) Data Communication and Networking , Behrouz A. Forouzan, McGraw Hill, 5th Edition,
2012

REFERENCE BOOKS:

1) Computer Networks: A Systems Approach, LL Peterson, BS Davie, Morgan-Kauffman ,
5th Edition, 2011.

2) Computer Networking: A Top-Down Approach JF Kurose, KW Ross, Addison-Wesley,
5th Edition, 2009

3) Data and Computer Communications , William Stallings , Pearson , 8th Edition, 2007

e-Resources:

1) https://nptel.ac.in