boundary value analysis and equivalence partition
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This document discusses boundary value analysis and equivalence partitioning testing techniques. It defines boundary value analysis as testing extreme input values like minimum, maximum, just above or below thresholds. An example tests ages for military service between 17-26. Equivalence partitioning divides conditions into valid and invalid partitions. It provides an example of partitioning flight ticket booking inputs.
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Equivalence partinioning and boundary value analysis
The document discusses different techniques for designing effective test cases, namely equivalence partitioning and boundary value analysis. It states that these are considered the best black box testing techniques. Equivalence partitioning involves dividing the input domain into equivalence classes and selecting one representative value from each class. Boundary value analysis focuses on testing values at the boundaries or extremes of the input domain, as errors often occur near these boundaries. Using both techniques together can help ensure an error-free product by comprehensively testing the input space.
Boundary value analysis
Boundary value analysis is a technique used to test software at the boundaries or edges of different input conditions or equivalence partitions. It aims to find errors that occur at boundary values by testing a range of inputs including values that are minimum, maximum, just above or below the boundaries. The document provides examples of applying boundary value analysis to test different conditions for a password field length, age criteria for military service, postal rate calculations based on letter weight, and an application to determine if a job candidate can be hired based on their age. Boundary value analysis involves determining equivalence partitions, identifying the corresponding boundary values, and designing test cases that evaluate inputs at these boundary points.
White Box Testing
This document discusses white box testing, which is a software testing technique where testers have explicit knowledge of the internal workings of the code. It tests all paths in the code including statements, branches, paths, and conditions. The document defines these terms and provides formulas to calculate coverage metrics like statement coverage. It notes that white box testing can find hidden errors and optimize code but is also more expensive and complex than black box testing.
Black box software testing
Black box testing is a software testing technique where the internal structure and implementation of the system is not known. It focuses on validating the functionality of the system based on requirements and specifications. Some key techniques of black box testing include equivalence partitioning, boundary value analysis, and error guessing. Equivalence partitioning divides test cases into equivalence classes based on expected behavior. Boundary value analysis tests values at the boundaries of equivalence classes. Error guessing involves creating test cases based on intuition about potential errors. Black box testing is applied at various levels including unit, integration, system, and non-functional testing.
Testing
The document discusses various techniques for software testing including whitebox testing, blackbox testing, unit testing, integration testing, validation testing, and system testing. It provides details on techniques like equivalence partitioning, boundary value analysis, orthogonal array testing, and graph matrices. The objective of testing is to systematically uncover errors in a minimum amount of time and effort. Testing should begin with unit testing and progress towards integration and system-level testing.
Black Box Testing
Black box testing refers to testing software without knowledge of its internal implementation by focusing on inputs and outputs. There are several techniques including boundary value analysis, equivalence partitioning, state transition testing, and graph-based testing. Black box testing is useful for testing functionality, behavior, and non-functional aspects from the end user's perspective.
White Box Testing And Control Flow & Loop Testing
This document discusses various techniques for white-box testing including statement coverage, branch coverage, path coverage, condition coverage, and loop testing. It provides examples of control flow graphs and describes designing test cases to execute every statement, branch, path, and condition. Loop testing techniques are outlined such as varying loop boundary values and testing nested, concatenated, and unstructured loops.
Boundary Value Analysis and Equivalence class Partitioning Testing.pptx
This document discusses Boundary Value Analysis (BVA) and Equivalence Class Partitioning (ECP) testing techniques. It explains that due to time and budget constraints, exhaustive testing of all possible input combinations is not feasible. BVA and ECP help intelligently select test cases by dividing inputs into partitions/classes of equivalent data that cover all test scenarios and reduce the number of test cases needed. BVA tests boundary values like minimum, maximum, just inside/outside boundaries, while ECP first divides inputs into equivalence classes to derive test cases.
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Equivalence partinioning and boundary value analysis
The document discusses different techniques for designing effective test cases, namely equivalence partitioning and boundary value analysis. It states that these are considered the best black box testing techniques. Equivalence partitioning involves dividing the input domain into equivalence classes and selecting one representative value from each class. Boundary value analysis focuses on testing values at the boundaries or extremes of the input domain, as errors often occur near these boundaries. Using both techniques together can help ensure an error-free product by comprehensively testing the input space.
Boundary value analysis
Boundary value analysis is a technique used to test software at the boundaries or edges of different input conditions or equivalence partitions. It aims to find errors that occur at boundary values by testing a range of inputs including values that are minimum, maximum, just above or below the boundaries. The document provides examples of applying boundary value analysis to test different conditions for a password field length, age criteria for military service, postal rate calculations based on letter weight, and an application to determine if a job candidate can be hired based on their age. Boundary value analysis involves determining equivalence partitions, identifying the corresponding boundary values, and designing test cases that evaluate inputs at these boundary points.
White Box Testing
This document discusses white box testing, which is a software testing technique where testers have explicit knowledge of the internal workings of the code. It tests all paths in the code including statements, branches, paths, and conditions. The document defines these terms and provides formulas to calculate coverage metrics like statement coverage. It notes that white box testing can find hidden errors and optimize code but is also more expensive and complex than black box testing.
Black box software testing
Black box testing is a software testing technique where the internal structure and implementation of the system is not known. It focuses on validating the functionality of the system based on requirements and specifications. Some key techniques of black box testing include equivalence partitioning, boundary value analysis, and error guessing. Equivalence partitioning divides test cases into equivalence classes based on expected behavior. Boundary value analysis tests values at the boundaries of equivalence classes. Error guessing involves creating test cases based on intuition about potential errors. Black box testing is applied at various levels including unit, integration, system, and non-functional testing.
Testing
The document discusses various techniques for software testing including whitebox testing, blackbox testing, unit testing, integration testing, validation testing, and system testing. It provides details on techniques like equivalence partitioning, boundary value analysis, orthogonal array testing, and graph matrices. The objective of testing is to systematically uncover errors in a minimum amount of time and effort. Testing should begin with unit testing and progress towards integration and system-level testing.
Black Box Testing
Black box testing refers to testing software without knowledge of its internal implementation by focusing on inputs and outputs. There are several techniques including boundary value analysis, equivalence partitioning, state transition testing, and graph-based testing. Black box testing is useful for testing functionality, behavior, and non-functional aspects from the end user's perspective.
White Box Testing And Control Flow & Loop Testing
This document discusses various techniques for white-box testing including statement coverage, branch coverage, path coverage, condition coverage, and loop testing. It provides examples of control flow graphs and describes designing test cases to execute every statement, branch, path, and condition. Loop testing techniques are outlined such as varying loop boundary values and testing nested, concatenated, and unstructured loops.
Boundary Value Analysis and Equivalence class Partitioning Testing.pptx
This document discusses Boundary Value Analysis (BVA) and Equivalence Class Partitioning (ECP) testing techniques. It explains that due to time and budget constraints, exhaustive testing of all possible input combinations is not feasible. BVA and ECP help intelligently select test cases by dividing inputs into partitions/classes of equivalent data that cover all test scenarios and reduce the number of test cases needed. BVA tests boundary values like minimum, maximum, just inside/outside boundaries, while ECP first divides inputs into equivalence classes to derive test cases.
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Selenium playlist: https://goo.gl/NmuzXE
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Follow us to never miss an update in the future.
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Castbox: https://castbox.fm/networks/505?country=in
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Selenium playlist: https://goo.gl/NmuzXE
Selenium Blog playlist: http://bit.ly/2B7C3QR
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Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
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Facebook: https://www.facebook.com/edurekaIN/
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NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
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Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
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Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
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Python language is very important language at this time. we can easily understand this language by these notes.
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
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官方认证美国密歇根州立大学毕业证学位证书原版一模一样
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Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
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NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
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IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
boundary value analysis and equivalence partition
- 1. Submitted By : Swapanpreet Kaur Roll No : GU-2016-1110 Submitted To: Niti Moudgil BOUNDARY VALUE ANALYSIS AND EQUIVALENCE PATIONING
- 2. CONTENTS • Black Box Testing • What Is Boundary Value Analysis? • Example • What Is Equivalence Pratition? • Example
- 3. BLACK BOX TESTING • It is a software testing method in which the internal structure/design/implementation detail of the item being tested is not known to the tester. • Example : Assume , a tester without knowledge of the internal structure of a website , test the web pages by using web browser, providing inputs and verify the outputs and match with the expected outcome .
- 4. WHAT IS BOUNDARY VALUE ANALYSIS? • Boundary testing is the process of testing between extreme ends or boundaries between partitions of the input values. • So , these extreme ends like start-end , upper-lower , maximum-minimum , just inside just outside values are called boundary values and the testing is called “boundary testing” .
- 5. • These basic idea in boundary value testing is to select input variable values at their. • Minimum • Just above the minimum • A nominal value • Just below the maximum • Maximum
- 6. EXAMPLE • The program selects candidates for military service focusing only on age (no less 18 no more 25). Conscription in the army Not conscription conscription Not conscription 17 18 25 26
- 7. EQUIVALENCE PARTITION • Equivalence partition is an black box technique which can be applied to all level of testing like , unit , integration ,system etc. in this technique , you divide the set of condition into a partition that can considered be same. • They are two types of input values • Valid • Invalid
- 9. EXAMPLE • Let’s consider the behavior of tickets in the flight reservation application , while Booking a new flight.
- 10. THANKS