A small introduction to some techniques of BBT as Boundary Value, Equivalence Class, Decision Table. According to this presentation, you can know how to apply them in the real world.
The document discusses the equivalence partitioning (EP) technique for black-box testing. It states that EP divides test conditions into groups called partitions that can be considered the same. Only one test case per partition needs to be tested. An example given partitions a bank account balance into valid and invalid ranges, with boundaries like $0.00. Guidelines for boundary value analysis are provided, such as testing values just above and below boundaries. Other techniques discussed include boundary value analysis, decision table testing, and state transition testing.
The document discusses black box testing techniques for software quality assurance including equivalence partitioning, boundary analysis, and state transition testing. Equivalence partitioning involves dividing input and output values into partitions that are expected to produce the same results. Boundary analysis tests partition boundaries and invalid values just beyond the edges. State transition testing uses a model of component states, transitions, events, and actions to ensure all state transitions are tested. Decision tables can also be used to systematically test combinations of conditions and expected actions. Examples are provided to illustrate these black box testing strategies.
The document discusses various test case design techniques, including boundary value analysis and decision table testing. Boundary value analysis focuses on testing values at the boundaries of requirements because defects often occur there. It involves testing one point on the boundary, one just below, and one just above. Decision table testing represents complex business rules in a table with conditions and expected actions. Test cases are then created based on each rule in the table.
Test design techniques are procedures used to define test conditions, design test cases, and specify test data in order to improve testing efficiency. There are three main categories of test design techniques: specification-based techniques derive test cases from requirements or models, structure-based techniques derive test cases from code, and experience-based techniques use the tester's experience. Equivalence partitioning and boundary value analysis are two important specification-based techniques. Equivalence partitioning divides test conditions into valid and invalid equivalence classes, while boundary value analysis tests values at the boundaries between partitions. Together these techniques help identify effective test cases.
The document discusses domain analysis, a technique for testing interactions between multiple variables. It provides an example of using domain analysis to test the width and height parameters of a video player. The technique involves splitting each parameter into equivalence classes, defining boundary values, and generating test cases that combine the different boundary values to test interactions between the parameters. Conducting domain analysis can more effectively test variable interactions than boundary value analysis or equivalence partitioning alone.
Equivalence partinioning and boundary value analysisniharika5412
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.
Equivalence partitioning is a black box testing technique that divides input data into equivalent classes and designs test cases to cover each class. It aims to test typical, boundary, and invalid cases to improve test coverage. The key steps are to identify the input range, divide it into logical partitions, and design test cases for typical values within each partition as well as boundary and invalid values. This technique helps reduce the number of test cases needed while still thoroughly testing an application's functionality across different input conditions.
The document provides an overview of different test design techniques, including black box techniques like equivalence partitioning and boundary value analysis, and white box techniques like control flow analysis. It then gives a detailed example of how to use equivalence partitioning to design test cases for a program that calculates the price of a product based on its value, discount percentage, and shipping costs. Various equivalence classes are identified for the input variables, including both valid and invalid classes. Representative test cases are designed to cover the different equivalence class combinations and ensure all classes are tested.
The document discusses the equivalence partitioning (EP) technique for black-box testing. It states that EP divides test conditions into groups called partitions that can be considered the same. Only one test case per partition needs to be tested. An example given partitions a bank account balance into valid and invalid ranges, with boundaries like $0.00. Guidelines for boundary value analysis are provided, such as testing values just above and below boundaries. Other techniques discussed include boundary value analysis, decision table testing, and state transition testing.
The document discusses black box testing techniques for software quality assurance including equivalence partitioning, boundary analysis, and state transition testing. Equivalence partitioning involves dividing input and output values into partitions that are expected to produce the same results. Boundary analysis tests partition boundaries and invalid values just beyond the edges. State transition testing uses a model of component states, transitions, events, and actions to ensure all state transitions are tested. Decision tables can also be used to systematically test combinations of conditions and expected actions. Examples are provided to illustrate these black box testing strategies.
The document discusses various test case design techniques, including boundary value analysis and decision table testing. Boundary value analysis focuses on testing values at the boundaries of requirements because defects often occur there. It involves testing one point on the boundary, one just below, and one just above. Decision table testing represents complex business rules in a table with conditions and expected actions. Test cases are then created based on each rule in the table.
Test design techniques are procedures used to define test conditions, design test cases, and specify test data in order to improve testing efficiency. There are three main categories of test design techniques: specification-based techniques derive test cases from requirements or models, structure-based techniques derive test cases from code, and experience-based techniques use the tester's experience. Equivalence partitioning and boundary value analysis are two important specification-based techniques. Equivalence partitioning divides test conditions into valid and invalid equivalence classes, while boundary value analysis tests values at the boundaries between partitions. Together these techniques help identify effective test cases.
The document discusses domain analysis, a technique for testing interactions between multiple variables. It provides an example of using domain analysis to test the width and height parameters of a video player. The technique involves splitting each parameter into equivalence classes, defining boundary values, and generating test cases that combine the different boundary values to test interactions between the parameters. Conducting domain analysis can more effectively test variable interactions than boundary value analysis or equivalence partitioning alone.
Equivalence partinioning and boundary value analysisniharika5412
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.
Equivalence partitioning is a black box testing technique that divides input data into equivalent classes and designs test cases to cover each class. It aims to test typical, boundary, and invalid cases to improve test coverage. The key steps are to identify the input range, divide it into logical partitions, and design test cases for typical values within each partition as well as boundary and invalid values. This technique helps reduce the number of test cases needed while still thoroughly testing an application's functionality across different input conditions.
The document provides an overview of different test design techniques, including black box techniques like equivalence partitioning and boundary value analysis, and white box techniques like control flow analysis. It then gives a detailed example of how to use equivalence partitioning to design test cases for a program that calculates the price of a product based on its value, discount percentage, and shipping costs. Various equivalence classes are identified for the input variables, including both valid and invalid classes. Representative test cases are designed to cover the different equivalence class combinations and ensure all classes are tested.
This document discusses various test design techniques, including static design techniques like equivalence partitioning and boundary value analysis, which divide input data into partitions and test boundary values. Dynamic techniques like pairwise testing are also explained, which test interactions between pairs of factors. Exploratory testing involves writing test cases during execution to explore a system creatively. Examples are provided for each technique. The advantages of using techniques like easier test reproduction and transferability are highlighted. A variety of materials on software testing are listed for further reference.
This document discusses equivalence partitioning, a black box testing technique where test cases are designed to execute representatives from equivalence partitions. Equivalence partitions are derived from requirements and divide test input data into ranges of values that cover all possible scenarios. The goals are to reduce the number of test cases to a minimum while maintaining coverage. Examples demonstrate how to identify equivalence classes based on requirements and define representative test cases. Benefits include reducing tests and time, while risks include missing bugs if not used correctly.
The document summarizes a series of talks on software testing. The talks will cover the different stages of the test life cycle, including: decomposing the system into independent units; building tests for formal models; establishing testability through test harnesses; automating tests using frameworks; and including tests in continuous integration. The document then provides more details about the second talk on building tests for formal models and describes the use of formal models in test design techniques.
Structural testing evaluates code coverage based on its structure. It is stronger than other testing methodologies. There are several categories of structural testing including statement coverage, branch coverage, condition coverage, and path coverage. Statement coverage requires that every statement in the code is executed at least once. Branch coverage generates test cases to test each branch condition as true or false. Condition coverage checks all possible combinations of conditions. Path coverage executes each independent path in the program at least once.
Black box testing, equivalence partitioning, equivalence class partition, ECP, Boundary Value Analysis, BVA, ISTQB Foundation level, Manual Testing, Examples for Equivalence Partitioning, Examples for Boundary value analysis
The document discusses different software testing techniques. It describes static techniques, which do not execute code, and dynamic techniques, which are divided into specification-based, structure-based, and experience-based categories. Specification-based techniques include equivalence partitioning, boundary value analysis, decision tables, and state transition testing. Structure-based techniques use internal software structure to derive test cases. Experience-based techniques leverage people's knowledge and skills. The document provides examples and details of equivalence partitioning and boundary value analysis techniques.
The document discusses various black box testing techniques including:
1) Equivalence partitioning which creates input/output partitions to test valid and invalid values.
2) Boundary analysis which tests partition boundaries and values just beyond limits.
3) State transition testing which uses a state diagram to test all transitions and states.
It also briefly covers decision tables which present conditions and corresponding actions through rules in a table. Examples are provided to illustrate the techniques.
White box testing, also called glass box or transparent testing, involves testing the internal structure or code of a system. It requires knowledge of the system's code and tests each statement, branch, and path of the code. Statement coverage tests that each statement is executed at least once, branch coverage tests all possible outcomes of conditions, and path coverage tests all possible paths through the code. Together these coverage types aim to thoroughly test the internal logic and functionality of the system.
Software testing is a vital process without which no software release can occur, it makes the software usable. Software testing offers opportunities constantly to be exposed with new development methods, new platform technologies, new product innovations.
The document discusses various concepts related to software testing including verification vs validation, inspection vs testing, black box vs white box testing, and testing techniques like equivalence partitioning, boundary value analysis, and cause-effect graphing. It defines verification as ensuring software meets specifications while validation ensures it meets customer needs. Inspection examines static documents while testing evaluates dynamic behavior. Black box testing uses requirements while white box considers internal structure.
The document discusses various black box testing strategies including equivalence partitioning, boundary value analysis, decision table testing, state transition testing, and error guessing. Black box testing involves testing software modules independently without knowledge of internal implementation. It aims to test functional validity and interface errors by examining expected outputs for given inputs based on requirements.
How to validate a model?
What is a best model ?
Types of data
Types of errors
The problem of over fitting
The problem of under fitting
Bias Variance Tradeoff
Cross validation
K-Fold Cross validation
Boot strap Cross validation
Dynamic testing analyzes the dynamic behavior of code by executing it with different inputs and checking the outputs. There are two main types: black box testing which tests functionality without viewing internal structure, and white box testing which tests based on internal structure. Black box techniques include boundary value analysis, equivalence partitioning, error guessing, cause-effect graphing, and state transition testing. White box techniques include code coverage and complexity analysis. Dynamic testing can find errors not detected through static analysis but takes more time than static testing.
This document discusses best practices for meter and instrument transformer testing in an Advanced Metering Infrastructure (AMI) system. It addresses the need to test meters and transformers for accuracy upon installation, return to service, and periodically while in service. Site verification testing is also recommended to check for wiring errors and ensure meters and transformers are properly sized. The document emphasizes that transformer-rated services, which represent a small portion of customers but a large portion of revenue, should be a priority for meter testing resources given their financial impact. AMI data can help identify transformer-rated services for further evaluation and testing.
This presentation discusses:
- Best practices regarding the need to ensure that all transformers used for metering circuits are properly sized
- The ability to optimize revenue regardless of customer usage over time
- Best practices to ensure that transformers and meters have been installed correctly in the field and continue to perform in the same fashion
- Best practices for certifying the accuracy class of the transformers and how to best set up a shop testing and field testing/verification program.
- What the costs of implementing such a system and what the costs of not implementing such a system can be.
The document discusses various techniques for white box testing including static testing and structural testing. Static testing involves techniques like desk checking, code walkthroughs, and code inspections that do not require executing the code. Structural testing techniques execute the code and include unit testing, code coverage testing, and complexity testing. Code coverage criteria like statement coverage and branch coverage are discussed as ways to measure how thoroughly the code has been tested. Control flow graphs are presented as a way to represent program logic and control flow.
This lab discusses selections and provides examples of if statement, nested if, and switch. It also covers logical operators and relational operators. It gives many examples to help the student develop logical think and structure computer logic.
The presentation depicted herein presents briefly an introduction of acceptance sampling along with some major differences amongst the widely used sampling standards.
Acceptance Sampling standards comparison. MIL-STD-105E, MIL-STD-1916, ISO 2859, ISO 3951. About AQLs and OC Curves.
Test Smarter: Efficient Coverage Metrics That Won't Leave You ExposedSmartBear
Achieving optimum test and requirement coverage is critical for delivering high quality applications to the marketplace. Coverage can be very useful in determining the extent to which code and requirement has been tested. However, at the same time, a high coverage result (something in high 80s or 90s) cannot be taken as a measure of effective testing or an indicator of testers achieving perfection. Leveraging processes and tools that help determine sufficient coverage metrics, account for risk, trim costs incurred from unnecessary tests is therefore important.
In this webinar, Nikhil Kaul, Product Manager, joins Engineer, Rick Almeida, to discuss how to balance the trade-off between achieving high test coverage and testing code and requirements that matter. In this session, we will cover:
What coverage metrics to use and what percentages to aim for?
- How coverage metrics can be misused?
- How to use requirement and code coverage well?
- What metrics won’t tell you?
- Establish the connection between requirement and test coverage.
This document discusses various test design techniques, including static design techniques like equivalence partitioning and boundary value analysis, which divide input data into partitions and test boundary values. Dynamic techniques like pairwise testing are also explained, which test interactions between pairs of factors. Exploratory testing involves writing test cases during execution to explore a system creatively. Examples are provided for each technique. The advantages of using techniques like easier test reproduction and transferability are highlighted. A variety of materials on software testing are listed for further reference.
This document discusses equivalence partitioning, a black box testing technique where test cases are designed to execute representatives from equivalence partitions. Equivalence partitions are derived from requirements and divide test input data into ranges of values that cover all possible scenarios. The goals are to reduce the number of test cases to a minimum while maintaining coverage. Examples demonstrate how to identify equivalence classes based on requirements and define representative test cases. Benefits include reducing tests and time, while risks include missing bugs if not used correctly.
The document summarizes a series of talks on software testing. The talks will cover the different stages of the test life cycle, including: decomposing the system into independent units; building tests for formal models; establishing testability through test harnesses; automating tests using frameworks; and including tests in continuous integration. The document then provides more details about the second talk on building tests for formal models and describes the use of formal models in test design techniques.
Structural testing evaluates code coverage based on its structure. It is stronger than other testing methodologies. There are several categories of structural testing including statement coverage, branch coverage, condition coverage, and path coverage. Statement coverage requires that every statement in the code is executed at least once. Branch coverage generates test cases to test each branch condition as true or false. Condition coverage checks all possible combinations of conditions. Path coverage executes each independent path in the program at least once.
Black box testing, equivalence partitioning, equivalence class partition, ECP, Boundary Value Analysis, BVA, ISTQB Foundation level, Manual Testing, Examples for Equivalence Partitioning, Examples for Boundary value analysis
The document discusses different software testing techniques. It describes static techniques, which do not execute code, and dynamic techniques, which are divided into specification-based, structure-based, and experience-based categories. Specification-based techniques include equivalence partitioning, boundary value analysis, decision tables, and state transition testing. Structure-based techniques use internal software structure to derive test cases. Experience-based techniques leverage people's knowledge and skills. The document provides examples and details of equivalence partitioning and boundary value analysis techniques.
The document discusses various black box testing techniques including:
1) Equivalence partitioning which creates input/output partitions to test valid and invalid values.
2) Boundary analysis which tests partition boundaries and values just beyond limits.
3) State transition testing which uses a state diagram to test all transitions and states.
It also briefly covers decision tables which present conditions and corresponding actions through rules in a table. Examples are provided to illustrate the techniques.
White box testing, also called glass box or transparent testing, involves testing the internal structure or code of a system. It requires knowledge of the system's code and tests each statement, branch, and path of the code. Statement coverage tests that each statement is executed at least once, branch coverage tests all possible outcomes of conditions, and path coverage tests all possible paths through the code. Together these coverage types aim to thoroughly test the internal logic and functionality of the system.
Software testing is a vital process without which no software release can occur, it makes the software usable. Software testing offers opportunities constantly to be exposed with new development methods, new platform technologies, new product innovations.
The document discusses various concepts related to software testing including verification vs validation, inspection vs testing, black box vs white box testing, and testing techniques like equivalence partitioning, boundary value analysis, and cause-effect graphing. It defines verification as ensuring software meets specifications while validation ensures it meets customer needs. Inspection examines static documents while testing evaluates dynamic behavior. Black box testing uses requirements while white box considers internal structure.
The document discusses various black box testing strategies including equivalence partitioning, boundary value analysis, decision table testing, state transition testing, and error guessing. Black box testing involves testing software modules independently without knowledge of internal implementation. It aims to test functional validity and interface errors by examining expected outputs for given inputs based on requirements.
How to validate a model?
What is a best model ?
Types of data
Types of errors
The problem of over fitting
The problem of under fitting
Bias Variance Tradeoff
Cross validation
K-Fold Cross validation
Boot strap Cross validation
Dynamic testing analyzes the dynamic behavior of code by executing it with different inputs and checking the outputs. There are two main types: black box testing which tests functionality without viewing internal structure, and white box testing which tests based on internal structure. Black box techniques include boundary value analysis, equivalence partitioning, error guessing, cause-effect graphing, and state transition testing. White box techniques include code coverage and complexity analysis. Dynamic testing can find errors not detected through static analysis but takes more time than static testing.
This document discusses best practices for meter and instrument transformer testing in an Advanced Metering Infrastructure (AMI) system. It addresses the need to test meters and transformers for accuracy upon installation, return to service, and periodically while in service. Site verification testing is also recommended to check for wiring errors and ensure meters and transformers are properly sized. The document emphasizes that transformer-rated services, which represent a small portion of customers but a large portion of revenue, should be a priority for meter testing resources given their financial impact. AMI data can help identify transformer-rated services for further evaluation and testing.
This presentation discusses:
- Best practices regarding the need to ensure that all transformers used for metering circuits are properly sized
- The ability to optimize revenue regardless of customer usage over time
- Best practices to ensure that transformers and meters have been installed correctly in the field and continue to perform in the same fashion
- Best practices for certifying the accuracy class of the transformers and how to best set up a shop testing and field testing/verification program.
- What the costs of implementing such a system and what the costs of not implementing such a system can be.
The document discusses various techniques for white box testing including static testing and structural testing. Static testing involves techniques like desk checking, code walkthroughs, and code inspections that do not require executing the code. Structural testing techniques execute the code and include unit testing, code coverage testing, and complexity testing. Code coverage criteria like statement coverage and branch coverage are discussed as ways to measure how thoroughly the code has been tested. Control flow graphs are presented as a way to represent program logic and control flow.
This lab discusses selections and provides examples of if statement, nested if, and switch. It also covers logical operators and relational operators. It gives many examples to help the student develop logical think and structure computer logic.
The presentation depicted herein presents briefly an introduction of acceptance sampling along with some major differences amongst the widely used sampling standards.
Acceptance Sampling standards comparison. MIL-STD-105E, MIL-STD-1916, ISO 2859, ISO 3951. About AQLs and OC Curves.
Test Smarter: Efficient Coverage Metrics That Won't Leave You ExposedSmartBear
Achieving optimum test and requirement coverage is critical for delivering high quality applications to the marketplace. Coverage can be very useful in determining the extent to which code and requirement has been tested. However, at the same time, a high coverage result (something in high 80s or 90s) cannot be taken as a measure of effective testing or an indicator of testers achieving perfection. Leveraging processes and tools that help determine sufficient coverage metrics, account for risk, trim costs incurred from unnecessary tests is therefore important.
In this webinar, Nikhil Kaul, Product Manager, joins Engineer, Rick Almeida, to discuss how to balance the trade-off between achieving high test coverage and testing code and requirements that matter. In this session, we will cover:
What coverage metrics to use and what percentages to aim for?
- How coverage metrics can be misused?
- How to use requirement and code coverage well?
- What metrics won’t tell you?
- Establish the connection between requirement and test coverage.
Over much of the 20th century, utilities, regulators and customers each relied upon lab and field meter testing efforts which were primarily focused upon the accuracy of the watt-hour meter and demand register.
This focus is now changing with overwhelming deployment of electronic meters and significant deployment of AMR and AMI meters throughout the installed base in North America.
The focus has now shifted to the metering installation as a whole and not the accuracy of the meter.
For Youtube Videos: bit.do/sevents
What is a testing technique?
Black and White box testing
Black box test techniques
White box test techniques
Error Guessing
Problem Statement:One of the common concerns from the customers is that how to effectively optimize the testing given the
multiple integration points in a distributed/composite system environments, which does expose at least the below
pain points:
1. Avoid Exhausted testing
2. Meet all the boundary conditions
3. Limited time to execute 100% test execution
4. Include all the critical business functions
5. Efficient Regression Testing
and the list goes on...
Resolution: The solution is detailed in the attachment and have effectively implemented in various client places.
This document discusses various static and dynamic testing techniques. It explains that static testing is done manually without executing code, such as reviews and inspections. Dynamic testing requires executing the code using techniques like unit testing. Black box techniques like equivalence partitioning, boundary value analysis, decision tables, and state transition testing are covered, along with an example for each. White box techniques focus on internal code structure and test coverage metrics. The document provides details on different testing techniques for testers to design effective test cases.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
2. What is Black Box Testing?
• BBT is a method for software testing.
• See the Black Box !
• Based on Requirements and Specifications of Software
• It’s know by name Behavior Testing
3. Advantages
• Test is executed from the user’s point of view or tester. So that, the
software is used from the objective perspective of end user.
• Avoidance of developer-bias
• Don’t need to know the programing language or how the software
implemented.
• Be able to write test case and execute test as soon as the
requirements are completed.
4. Disadvantages
• If requirements are not clearly, it might design test case wrong or it’s
hard to design test case.
• Just can test on the number of inputs so it will not cover all of the
cases.
5. Boundary Value Analysis (BVA)
• Faults tend to lurk near boundaries
• Good place to look for faults
• Test values on both sides of boundaries
1 100 1010
invalid invalidvalid
6. Equivalence Partitioning
• Divide (partition) the inputs, outputs, etc. into areas which are the same
(equivalent)
• Assumption: if one value works, all will work
• One from each partition better than all from one
invalid invalidvalid
1 100 1010
8. Description for case
Number of characters:
1invalid valid0
Conditions Valid Partition Invalid Partitions Valid Boundaries Invalid Boundaries
Description for
case
1 to 400
characters
< 1 character 1 character Empty
> 400 characters 400 characters 401 characters
400 401 invalid
9. Decision Table
• Determine the test scenarios for complex business logic.
• Identify a suitable function or system which reacts according to a
combination of inputs or events
• It is better to deal with large numbers of conditions by dividing them
into subsets and dealing with the subsets one at a time.
• Once you have identified the aspects that need to be combined, then
you put them into a table listing all the combinations of True and
False for each of the aspects
10. Example 2: Discount fee application
• A application for discounting the fee for the customer will follow by
the rules:
• If this is a new customer then she is discounted 15%
• If this is a loyalty customer then she is discounted 10%
11. Decision Table
Conditions Rule 1 Rule 2 Rule 3 Rule 4
New customer (15%) T T F F
Loyalty customer (10%) T F T F
Formula = 2n
N: The number of conditions
12. Decision Table
Conditions Rule 1 Rule 2 Rule 3 Rule 4
New customer (15%) T T F F
Loyalty customer (10%) T F T F
Actions/Outcomes
New customer (15%) Y Y
Loyalty customer (10%) Y Y
13. Decision Table
Conditions Rule 1 Rule 2 Rule 3 Rule 4
New customer (15%) T T F F
Loyalty customer (10%) T F T F
Actions/Outcomes
New customer (15%) Y Y
Loyalty customer (10%) Y Y
Error Message
Y
14. Decision Table
Conditions Rule 1 Rule 2 Rule 3 Rule 4
New customer (15%) T T F F
Loyalty customer (10%) T F T F
Actions/Outcomes
New customer (15%) Y Y
Loyalty customer (10%) Y Y
Error Message
Y Y
15. Output for each test case
Conditions Rule 1 Rule 2 Rule 3 Rule 4
New customer (15%) T T F F
Loyalty customer (10%) T F T F
Actions/Outcomes
Result Error Message Logic for New
customer
Logic for Loyalty
customer
Error Message
16. Advandtages vs Disadvantages
• Advandtages:
Test all cases able to happen by a combination all of them
Discover omissions and ambiguities in specifications
• Disadvantages:
If we have a lot of combinations, it may not be possible or sensible to test
every combination
If we are time-constrained, we may not have time to test all combinations.
17. Lesson learn
• Don’t just assume that all combinations need to be tested
• It is always better to prioritize and test the most important
combinations.
• Having the full table helps us to decide which combinations we
should test and which not to test this time.
Editor's Notes
Bạn nhìn thấy là 1 hộp màu đen, bạn không thể nhìn thấy bên trong là gì, không biết có gì trong đó. Giống như đôi mắt của tester, tuy không thể biết trong nó là gì nhưng dựa vào nó thì có thể tìm ra được lỗi. Nó còn được biết với tên gọi là Behaviour Testing. Vì nó dựa hoàn toàn vào yêu cầu và mô tả chức năng của phần mềm để thực hiện.
Test is executed from the user’s point of view or tester. So that, the software is used from the objective perspective of end user.
Test được thực hiện từ góc nhìn của user or là tester nên có thể trải nghiệm và sử dụng phần mềm khách quan từ quan điểm của 1 end user.
2. Avoidance of developer-bias
Dẫn tới là tránh được sự ngộ nhận hoăc thiếu sót từ developer
3. Don’t need to know the programing language or how the software implemented.
Không cần biết ngôn ngữ lập trình or cách mà phần mềm thực hiện như thế nào
4. Be able to write test case and execute test as soon as the requirements are completed.
=> Có thể viết test case và test được sớm khi requirement hoàn thiện.
If requirements are not clearly, it mights design test case wrong or it’s hard to design test case.
=> Nếu requirement không rõ ràng thì có thể design test case bị sai or rất khó để design test case
2. Just can test on the number of inputs so it will not cover all of the cases.
=> Chỉ có thể test trên 1 số lượng data nên sẽ ko cover hết tất cả các trường hợp
Tìm kiếm được giá trị input từ những vùng biên.
Nó giúp cắt giảm 1 số lượng lớn input có khả năng xảy ra thành 1 bộ input data nhỏ nhưng hiệu quả hơn.
Nó chia input data thành các class và chỉ lấy 1 giá trị đại diện để test cho mỗi class.
Như vậy ta có thể thấy có 2 điều kiện tính toán là Court Byret hoặc Court Sø- og Handelsretten . Với 2 điều kiện như trên thì có tất cả 4 khả năng có thể xảy ra.
Một bảng combine các khả năng xảy ra cho 2 điều kiện trên
Với mỗi khả năng sẽ có 2 giá trị True or False. Ta đánh nó tương ứng vào các ô
Một qui tắc để tính được số trường hợp khả năng là 2n. Với n là số điều kiện.
Tips: Với số lượng điều kiện lớn ví dụ 5 or 6, lúc này ta có từ 32 or 64 khả năng có thể xảy ra. Do đó, 1 cách để biết mình lâp bảng khả năng đúng đó là dòng đầu tiên thì 1 nữa sẽ là True, 1 nữa sẽ là False. Và dòng cuối cùng sẽ là true và False lặp lại kế tiếp nhau.
Từ bảng khả năng, ta có thể xác định giá trị Output tương ứng với từng trường hợp như bảng dưới đây.
Qua bảng decision trên ta có thể nhận xét, khách hang phải nhập ít nhất là 1 trong 2 giá trị.
Nhưng nếu khách hàng không nhập giá trị nào thì sao! ( Trường hợp F-F).
Qua đấy ta thấy, bảng decision cho phép ta nhìn thấy những khả năng không được đề cập trong yêu cầu.
Điểm mạnh của technique này là cho phép tìm ra những thiếu sót và mơ hồ trong mô tả.
Bởi vì có nhiều khả năng bị bỏ qua trong mô tả. Do vậy, technique này thường được dung khi review những test basis.
Vậy thì để khắc phục trường hợp trên, ta đưa ra giải pháp là sẽ thêm 1 outcome là error message tới người dùng. Bảng decision sẽ thể hiện như sau.
Quan sát bảng trên, có 1 trường hợp là khi KH chọn 2 option cùng 1 lần thì sao. Bảng trên đã chứng tỏ hai option được chọn vẫn thõa mãn yêu cầu từ ban đầu. Vậy option này sẽ được chọn? Giải pháp đưa ra là ta có thể để hỏi khách hang quyết định or là thêm 1 error message như trường hợp trước. Bắt buộc chọn 1 trong 2 lựa chọn mới được đi tiếp.
Giả sử khi chọn giải pháp là error message thì ta sẽ có 1 bảng decision như sau
Giả sử khi chọn giải pháp là error message thì ta sẽ có 1 bảng decision như sau