Boundary value analysis and equivalence partitioningSneha Singh
What is Boundary value analysis and Equivalence partitioning?
Border value research and Equivalence dividing, explained with simple example:
Boundary value research and equivalence dividing both are analyze situation style techniques in black box examining.
Black-box testing is a method of software testing that examines the functionality of an application without peering into its internal structures or workings.
Boundary value analysis and equivalence partitioningSneha Singh
What is Boundary value analysis and Equivalence partitioning?
Border value research and Equivalence dividing, explained with simple example:
Boundary value research and equivalence dividing both are analyze situation style techniques in black box examining.
Black-box testing is a method of software testing that examines the functionality of an application without peering into its internal structures or workings.
Design Test Case Technique (Equivalence partitioning And Boundary value analy...Ryan Tran
At the end of this course, you are going to know:
To provide an approach to design test case.
Understand how to apply equivalence partitioning and boundary to design test case.
As testers, we know that we can define many more test cases than we will ever have time to design, execute, and report. The key problem in testing is choosing a small, “smart” subset from the almost infinite number of tests available that will find a large percentage of the defects. Join Lee Copeland to discover how to design test cases using formal black-box techniques, including equivalence class testing, boundary value testing, decision tables, and state-transition diagrams. Explore examples of each of these techniques in action. Don’t just pick test cases at random. Rather, learn to selectively choose a set of test cases that maximizes your effectiveness and efficiency to find more defects in less time. Then, learn how to use the test results to evaluate the quality of both your products and your testing. Discover the test design techniques that will make your testing more productive.
Black Box Testing, also known as Behavioral Testing it is a method of software testing in which the internal structure/ design/ implementation of the item being tested is not known to the tester. These tests can be functional or non-functional, though usually functional. This method of test can be applied virtually to every level of software testing: unit, integration, system and acceptance. It typically comprises most if not all higher level testing, but can also embody unit testing
Software testing is the act of examining the artifacts and the behavior of the software under test by validation and verification. Software testing can also provide an objective, independent view of the software to allow the business to appreciate and understand the risks of software implementation
Design Test Case Technique (Equivalence partitioning And Boundary value analy...Ryan Tran
At the end of this course, you are going to know:
To provide an approach to design test case.
Understand how to apply equivalence partitioning and boundary to design test case.
As testers, we know that we can define many more test cases than we will ever have time to design, execute, and report. The key problem in testing is choosing a small, “smart” subset from the almost infinite number of tests available that will find a large percentage of the defects. Join Lee Copeland to discover how to design test cases using formal black-box techniques, including equivalence class testing, boundary value testing, decision tables, and state-transition diagrams. Explore examples of each of these techniques in action. Don’t just pick test cases at random. Rather, learn to selectively choose a set of test cases that maximizes your effectiveness and efficiency to find more defects in less time. Then, learn how to use the test results to evaluate the quality of both your products and your testing. Discover the test design techniques that will make your testing more productive.
Black Box Testing, also known as Behavioral Testing it is a method of software testing in which the internal structure/ design/ implementation of the item being tested is not known to the tester. These tests can be functional or non-functional, though usually functional. This method of test can be applied virtually to every level of software testing: unit, integration, system and acceptance. It typically comprises most if not all higher level testing, but can also embody unit testing
Software testing is the act of examining the artifacts and the behavior of the software under test by validation and verification. Software testing can also provide an objective, independent view of the software to allow the business to appreciate and understand the risks of software implementation
Software testing is an important activity of the software development process. Software testing is most
efforts consuming phase in software development. One would like to minimize the effort and maximize the
number of faults detected and automated test case generation contributes to reduce cost and time effort.
Hence test case generation may be treated as an optimization problem In this paper we have used genetic
algorithm to optimize the test case that are generated applying conditional coverage on source code. Test
case data is generated automatically using genetic algorithm are optimized and outperforms the test cases
generated by random testing.
Chapter 10 Testing and Quality Assurance1Unders.docxketurahhazelhurst
Chapter 10:
Testing and Quality
Assurance
1
Understand quality & basic techniques for software verification and validation.
Analyze basics of software testing and testing techniques.
Discuss the concept of “inspection” process.
Objectives
2
Quality assurance (QA): activities designed
to measure and improve quality in a product— and process.
Quality control (QC): activities designed to validate and verify the quality of the product through detecting faults and “fixing” the defects.
Need good techniques, process, tools,
and team.
Testing Introduction
similar
3
Two traditional definitions:
Conforms to requirements.
Fit to use.
Verification: checking software conforms to
its requirements (did the software evolve
from the requirements properly; does the software “work”?)
Is the system correct?
Validation: checking software meets user requirements (fit to use)
Are we building the correct system?
What Is “Quality”?
4
Testing: executing program in a controlled environment and “verifying/validating” output.
Inspections and reviews.
Formal methods (proving software correct).
Static analysis detects “error-prone conditions.”
Some “Error-Detection” Techniques (finding errors)
5
Error: a mistake made by a programmer or software engineer that caused the fault, which in turn may cause a failure
Fault (defect, bug): condition that may cause a failure in the system
Failure (problem): inability of system to perform a function according to its spec due to some fault
Fault or failure/problem severity (based on consequences)
Fault or failure/problem priority (based on importance of developing a fix, which is in turn based
on severity)
Faults and Failures
6
Activity performed for:
Evaluating product quality
Improving products by identifying defects and having them fixed prior to software release
Dynamic (running-program) verification of program’s behavior on a finite set of test cases selected from execution domain.
Testing can NOT prove product works 100%—even though we use testing to demonstrate that parts of the software works.
Testing
Not always
done!
7
Who tests?
Programmers
Testers/Req. Analyst
Users
What is tested?
Unit code testing
Functional code testing
Integration/system testing
User interface testing
Testing (cont.)
Why test?
Acceptance (customer)
Conformance (std, laws, etc.)
Configuration (user vs. dev.)
Performance, stress, security, etc.
How (test cases designed)?
Intuition
Specification based (black box)
Code based (white box)
Existing cases (regression)
8
Progression of Testing
Equivalence Class Partitioning
Divide the input into several groups, deemed “equivalent” for purposes of finding errors.
Pick one “representative” for each class used for testing.
Equivalence classes determined by req./design specifications and some intuition
Example: pick “larger” of
two integers and . . .
Lessen duplication.
Complete coverage.
10
Suppose we have n distinct functional requirements.
Su ...
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
2. Coding Standard and Guidelines
Code Review
Code walk-through
Code inspection
Testing
Design of Test Cases
Black-box testing
White Box testing
3. Good software development organization usually develop there own coding
standard and guidelines depending on what beat suit their needs and the types of
products they develop.
4. Do not use coding style that is too clever or too difficult to understand.
Avoid obscure side effect.
Do not use an identifier for multiple purpose
The code should be well documented.
Do not used GOTO statement.
5. Code review for a module is carried out after the module is successfully compiled
and all the syntax errors eliminated. Code reviews are extremely cost-effective
strategies for reduction in coding errors in order to produce high quality code.
1. Code walk-through
2. Code inspection
6. Code walk-through is an informal code analysis technique. In this technique, after
a module has been coded, it is successfully compiled and all syntax errors are
eliminated.
The main objectives of the walk-through are to discover the algorithmic and
logical errors in the code.
7. the aim of code inspection is to discover some common types of errors caused due
to oversight and improper programming.
The following is a list of some programming errors which can be checked
during code inspection:
Use of uninitialized variables
Jumps into loops
Nonterminating loops
Incompatible assignments
Array indices out of bounds
Improper storage allocation and deallocation
Mismatches between actual and formal parameters in procedure calls
Use of incorrect logical operators or incorrect precedence among operators
8. Testing a program consists of subjecting the program to a set of test inputs (or test
cases) and observing if the program behaves as expected.
The following are some commonly used terms associated with testing.
1. A failure is a manifestation of an error (or defect or bug). But the mere presence
of an error may not necessarily lead to a failure.
2. A test case is the triplet [I, S, O], where I is the data input to the system, S is
the state of the system at which the data is input, and O is the expected output
of the system.
3. A test suite is the set of all test cases with which a given software product is to
be tested.
9. Following is simple programming error.
If (x>y) max = x;
else max = x;
The test suite ((x = 3. y = 2); (x = 2, y = 3)) can detect the error
whereas a larger test suite ( (x = 3, y = 2); (x = 4, y = 3); (x = 5, y = 1)] does not
detect the error.
10. Two main approaches to systematically designing test cases
1. Black-box approach
2. White-box (or glass-box) approach
11. In black-box testing test cases are designed from an examination of the
input/output values only and no knowledge of design or code is required.
The following are the two main approaches to designing black-box test cases.
1. Equivalence class partitioning
2. Boundary value analysis
12. The following are some general guidelines for designing the equivalence classes
1. If the input data values to a system can be specified by a range of values, then
one valid and two invalid equivalence classes should be defined.
2. If the input data assumes values from a set of discrete members of some
domain, then one equivalence class for valid input values and another for
invalid input values should be defined.
13. For a software that computes the square root of an input integer which can
assume values between 0 and 5000, there are three equivalence classes: The set of
negative integers, the set of integers in the range between 0 and 5000, and the
integers larger than 5000. Therefore the test cases must include representative
values from each of the three equivalence classes and a possible test set can
therefore be: [-5, 500, 6000)
14. Boundary testing is the process of testing between extreme ends or boundaries
between partitions of the input values.
Extreme ends like Start- End, Lower- Upper, Maximum-Minimum, Just Inside-
Just Outside values are called boundary values and the testing is called
"boundary testing".
1. Minimum
2. Just near the minimum
3. Just near the maximum
4. Maximum
15. For a function that computes the square root of integer values in the range
between 0 and 5000.
The test ceases are ( 0, -1, 1, 5000, 4999, 5001 ).
16. There are several white box testing strategies. Each testing strategy is based on
some heuristic.
17. The statement coverage strategy aims to design test cases so that every statement
in a program is executed at least once.
The principal idea governing the statement coverage strategy is that unless we
execute a statement, we have no way of determining if an error exists in that
statement. Unless a statement is executed, we cannot observe whether it causes
failure due to some illegal memory access, wrong result computation, etc.
18. int compute_gcd (x, y)
int x, y;
{
while (x != y){
if (xx>y) then
x=x-y
else y=y-x;
}
return x;
}
By choosing the test set ( (x=3, y=3).(x=4. y=3), (x=3, y=4) ). we can exercise the program
such that all statements are executed at least once.
19. In the branch coverage-based testing strategy, test cases are designed to make
each branch condition assume true and false values in turn.
Branch testing is also known as edge testing as in this testing scheme, each edge
of a program's control flow graph is traversed at least once.
Testcases for branch Coverage [(x=3, y=3).(x=3. y=2), (x=4, y=3). (x=3, y=4))
20. The path coverage-based testing strategy requires us to design test cases such
that a linearly independent paths in the program are executed at least once. A
linearly independent path can be defined in terms of the control flow graph (CFG)
of a program.