Block-box testing (or functional testing, or behavior testing) focuses on the functional requirements of the software.
Gray box testing is a combination of white and black box testing
White-box testing is a software testing technique that uses knowledge of the internal workings of a system to design test cases. It involves testing internal structures or workings of a program, such as code coverage. The document discusses different white-box testing techniques like statement coverage, decision coverage, condition coverage, and multiple condition coverage. It aims to execute every statement, decision path, condition, and combination of conditions in the code. White-box testing is more effective at finding defects earlier in the SDLC but also more expensive and difficult to implement than black-box 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.
Black box testing tests the functionality of software without knowledge of its internal structure or design. It is performed by testers and clients to test the software from an end user's perspective. There are various techniques used in black box testing including equivalence partitioning, boundary value analysis, and error guessing.
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.
software testing is necessary to make sure the product or application is defect free, as per customer specifications. Software testing identifies fault whose removal increases the software Quality and Increases the software reliability.Testing effort is directly proportional to the complexity of the program.
A presentation on software testing importance , types, and levels,...
This presentation contains videos, it may be unplayable on slideshare and need to download
1. The document discusses different types of software testing including manual testing, automation testing, black-box testing, white-box testing, grey-box testing, and different levels of testing like unit testing, integration testing, system testing, regression testing, and acceptance testing.
2. It provides details on when each type of testing is used and their objectives such as finding defects, ensuring quality, and meeting requirements.
3. The key types of testing covered include functional testing, which has sub-types like unit, integration, system, regression, and acceptance testing, and non-functional testing.
White-box testing is a software testing technique that uses knowledge of the internal workings of a system to design test cases. It involves testing internal structures or workings of a program, such as code coverage. The document discusses different white-box testing techniques like statement coverage, decision coverage, condition coverage, and multiple condition coverage. It aims to execute every statement, decision path, condition, and combination of conditions in the code. White-box testing is more effective at finding defects earlier in the SDLC but also more expensive and difficult to implement than black-box 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.
Black box testing tests the functionality of software without knowledge of its internal structure or design. It is performed by testers and clients to test the software from an end user's perspective. There are various techniques used in black box testing including equivalence partitioning, boundary value analysis, and error guessing.
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.
software testing is necessary to make sure the product or application is defect free, as per customer specifications. Software testing identifies fault whose removal increases the software Quality and Increases the software reliability.Testing effort is directly proportional to the complexity of the program.
A presentation on software testing importance , types, and levels,...
This presentation contains videos, it may be unplayable on slideshare and need to download
1. The document discusses different types of software testing including manual testing, automation testing, black-box testing, white-box testing, grey-box testing, and different levels of testing like unit testing, integration testing, system testing, regression testing, and acceptance testing.
2. It provides details on when each type of testing is used and their objectives such as finding defects, ensuring quality, and meeting requirements.
3. The key types of testing covered include functional testing, which has sub-types like unit, integration, system, regression, and acceptance testing, and non-functional testing.
This document provides an overview of software testing, including definitions, purposes, strategies, methods, levels, types, and tools. It defines software testing as evaluating a system to determine if it meets requirements and works as expected. Testing is necessary to find errors, improve reliability and quality, and satisfy users. Strategies include unit, integration, and validation testing. Methods are divided into black-box and white-box testing. Levels include unit, integration, system, and acceptance testing. Types incorporate installation, compatibility, smoke, regression, alpha, and beta testing. Tools aid in test management, functional testing, load testing, and debugging.
White box testing involves designing test cases based on examining the internal structure and logic of a program. This includes:
1) Statement testing to execute all statements in a program.
2) Branch/decision testing to execute all outcomes of logical decisions.
3) Branch condition combination testing to test all combinations of conditions in decisions.
4) Modified condition combination testing to independently test each condition in decisions.
5) Loop testing to execute loops at their boundaries and within operational bounds.
White box testing aims to thoroughly exercise a program's control flow and internal logic to uncover defects, whereas black box testing focuses only on inputs and outputs without examining internal structure. White box testing generally achieves higher coverage
Unit testing involves individually testing small units or modules of code, such as functions, classes, or programs, to determine if they are fit for use. The goal is to isolate each part of a program and verify that it works as intended, helps reduce defects early in the development process, and improves code design. Unit testing is typically done by developers to test their code meets its design before integration testing.
Se (techniques for black box testing ppt)Mani Kanth
This document discusses techniques for black box testing software. It defines black box testing as testing software functionality without knowledge of its internal implementation or code structure. The techniques described are equivalence partitioning, boundary value analysis, state transition testing, graph-based testing, error guessing, and comparison testing. Equivalence partitioning divides inputs into classes based on similar outcomes to reduce test cases. Boundary value analysis focuses on edge cases rather than the full input range. State transition testing checks behavior changes between states with the same inputs. Graph-based testing visualizes the relationships between inputs and outputs. Error guessing leverages the tester's experience to find common mistakes. Comparison testing looks for differences between versions of the same software.
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.
The document discusses software testing concepts like verification, validation, whitebox testing, and blackbox testing. Verification ensures the product satisfies specifications, while validation ensures it meets customer requirements. Whitebox testing uses internal knowledge to test code, while blackbox testing treats the system as a black box without internal knowledge. The document also covers different types of testing like unit, integration, and functional testing.
This document provides an introduction to software testing. It defines software testing as a process used to identify correctness, completeness, and quality of computer software. The key points covered include: why software testing is important; who should be involved in testing; when testing should start and stop in the software development lifecycle; the differences between verification and validation; types of errors; types of testing including manual and automation; methods like black box and white box testing; levels of testing from unit to acceptance; and definitions of test plans and test cases.
This document provides an overview of software testing concepts and processes. It discusses the importance of testing in the software development lifecycle and defines key terms like errors, bugs, faults, and failures. It also describes different types of testing like unit testing, integration testing, system testing, and acceptance testing. Finally, it covers quality assurance and quality control processes and how bugs are managed throughout their lifecycle.
The document provides an overview of software testing techniques and strategies. It discusses unit testing, integration testing, validation testing, system testing, and debugging. The key points covered include:
- Unit testing involves testing individual software modules or components in isolation from the rest of the system. This includes testing module interfaces, data structures, boundary conditions, and error handling paths.
- Integration testing combines software components into clusters or builds to test their interactions before full system integration. Approaches include top-down and bottom-up integration.
- Validation testing verifies that the software meets the intended requirements and customer expectations defined in validation criteria.
- System testing evaluates the fully integrated software system, including recovery, security, stress,
YouTube Link: https://youtu.be/S2_AJP9Oeg0
**Test Automation Masters Program: https://www.edureka.co/masters-program/automation-testing-engineer-training **
This Edureka PPT on "Test Plan in Software Testing" will give you in-depth knowledge on how to create a Test Plan in Software Testing and why it is important. The following are the topics covered in the session:
Software Testing Documentation
What is Test Plan?
Benefits of Using Test Plan
Types of Test Plan
How to Write a Test Plan?
Test Plan Template / Test Plan Document
Software Testing Blog playlist: http://bit.ly/2UXwdJm
Selenium playlist: https://goo.gl/NmuzXE
Selenium Blog playlist: http://bit.ly/2B7C3QR
Follow us to never miss an update in the future.
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This document provides an introduction to software testing. It discusses software engineering and the software development life cycle (SDLC). The phases of the SDLC include problem definition, requirement analysis, planning, design, implementation, testing, deployment, and maintenance. Testing goals are to prevent and discover bugs. Different levels of testing include unit testing, integration testing, and system testing. The document also discusses testing concepts like the pesticide paradox, dichotomies between testing and debugging, and whether complete testing is possible.
The document discusses various topics related to software testing including the necessity of testing, goals of testing, different testing methods like static vs dynamic testing and white box vs black box testing, different testing levels from unit to system testing, testing approaches like bottom-up and top-down, different types of testing like alpha and beta testing, and functional vs non-functional testing. It provides examples of beta tests and concludes that complete testing is infeasible due to time and resource constraints.
This document discusses various black box testing techniques. Black box testing, also known as behavioral testing, involves testing a system without any knowledge of its internal structure or implementation. It involves testing a system based on its specifications and expected outputs for given inputs. The document describes several black box testing techniques including equivalence partitioning, boundary value analysis, comparison testing, orthogonal array testing, syntax-driven testing, decision table-based testing, and cause-and-effect graphs. These techniques help test a system from an external perspective to uncover errors in functionality, interfaces, behavior, and other issues.
Slides from Software Testing Techniques course offered at Kansas State University in Spring'16 and Spring'17. Entire course material can be found at https://github.com/rvprasad/software-testing-course.
The document provides an overview of manual software testing, including definitions, goals, and best practices. It discusses the importance of testing, what should be tested, quality principles, standards and certifications, the software development life cycle, and roles in the testing process. Testing is defined as evaluating a system to verify requirements or identify differences between expected and actual results. It aims to deliver high quality software by finding errors prior to release. Quality, defined as meeting customer requirements, is crucial and improved through principles like defect prevention. The document outlines the software development process and life cycle from requirement analysis through maintenance.
This document provides an overview of software testing concepts and definitions. It discusses key topics such as software quality, testing methods like static and dynamic testing, testing levels from unit to acceptance testing, and testing types including functional, non-functional, regression and security testing. The document is intended as an introduction to software testing principles and terminology.
Black-box testing is a method of software testing that examines the functionality of an application without peering into its internal structures or workings.
Testing, black ,white and gray box testingAamir Shakir
Black box, white box, and gray box testing techniques differ based on the level of internal knowledge of the system being tested. Black box testing assesses functionality without viewing internal structures. White box testing uses programming knowledge and examines internal logic and structures. Gray box testing combines aspects of black and white box testing by having some but not full internal knowledge. The techniques vary in their advantages like scalability, code coverage, and disadvantages such as redundancy.
Software testing is an important phase of the software development process that evaluates the functionality and quality of a software application. It involves executing a program or system with the intent of finding errors. Some key points:
- Software testing is needed to identify defects, ensure customer satisfaction, and deliver high quality products with lower maintenance costs.
- It is important for different stakeholders like developers, testers, managers, and end users to work together throughout the testing process.
- There are various types of testing like unit testing, integration testing, system testing, and different methodologies like manual and automated testing. Proper documentation is also important.
- Testing helps improve the overall quality of software but can never prove that there
Testing involves executing a program to find errors and is done at various stages - unit testing focuses on individual program modules, integration testing combines units and tests their interactions, and regression testing re-executes previous tests to ensure changes haven't caused errors. Key aspects of testing include white box testing which examines internal logic and black box testing which treats the program as a "black box" and focuses on inputs/outputs.
Unit testing refers to testing individual units or components of an application to ensure they are working as intended. It is typically performed by developers during coding to validate each part of the program. The goal of unit testing is to isolate units and validate their correctness independently before integration testing. Common techniques for unit testing include equivalence partitioning, boundary value analysis, and positive/negative testing.
This document provides an overview of software testing, including definitions, purposes, strategies, methods, levels, types, and tools. It defines software testing as evaluating a system to determine if it meets requirements and works as expected. Testing is necessary to find errors, improve reliability and quality, and satisfy users. Strategies include unit, integration, and validation testing. Methods are divided into black-box and white-box testing. Levels include unit, integration, system, and acceptance testing. Types incorporate installation, compatibility, smoke, regression, alpha, and beta testing. Tools aid in test management, functional testing, load testing, and debugging.
White box testing involves designing test cases based on examining the internal structure and logic of a program. This includes:
1) Statement testing to execute all statements in a program.
2) Branch/decision testing to execute all outcomes of logical decisions.
3) Branch condition combination testing to test all combinations of conditions in decisions.
4) Modified condition combination testing to independently test each condition in decisions.
5) Loop testing to execute loops at their boundaries and within operational bounds.
White box testing aims to thoroughly exercise a program's control flow and internal logic to uncover defects, whereas black box testing focuses only on inputs and outputs without examining internal structure. White box testing generally achieves higher coverage
Unit testing involves individually testing small units or modules of code, such as functions, classes, or programs, to determine if they are fit for use. The goal is to isolate each part of a program and verify that it works as intended, helps reduce defects early in the development process, and improves code design. Unit testing is typically done by developers to test their code meets its design before integration testing.
Se (techniques for black box testing ppt)Mani Kanth
This document discusses techniques for black box testing software. It defines black box testing as testing software functionality without knowledge of its internal implementation or code structure. The techniques described are equivalence partitioning, boundary value analysis, state transition testing, graph-based testing, error guessing, and comparison testing. Equivalence partitioning divides inputs into classes based on similar outcomes to reduce test cases. Boundary value analysis focuses on edge cases rather than the full input range. State transition testing checks behavior changes between states with the same inputs. Graph-based testing visualizes the relationships between inputs and outputs. Error guessing leverages the tester's experience to find common mistakes. Comparison testing looks for differences between versions of the same software.
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.
The document discusses software testing concepts like verification, validation, whitebox testing, and blackbox testing. Verification ensures the product satisfies specifications, while validation ensures it meets customer requirements. Whitebox testing uses internal knowledge to test code, while blackbox testing treats the system as a black box without internal knowledge. The document also covers different types of testing like unit, integration, and functional testing.
This document provides an introduction to software testing. It defines software testing as a process used to identify correctness, completeness, and quality of computer software. The key points covered include: why software testing is important; who should be involved in testing; when testing should start and stop in the software development lifecycle; the differences between verification and validation; types of errors; types of testing including manual and automation; methods like black box and white box testing; levels of testing from unit to acceptance; and definitions of test plans and test cases.
This document provides an overview of software testing concepts and processes. It discusses the importance of testing in the software development lifecycle and defines key terms like errors, bugs, faults, and failures. It also describes different types of testing like unit testing, integration testing, system testing, and acceptance testing. Finally, it covers quality assurance and quality control processes and how bugs are managed throughout their lifecycle.
The document provides an overview of software testing techniques and strategies. It discusses unit testing, integration testing, validation testing, system testing, and debugging. The key points covered include:
- Unit testing involves testing individual software modules or components in isolation from the rest of the system. This includes testing module interfaces, data structures, boundary conditions, and error handling paths.
- Integration testing combines software components into clusters or builds to test their interactions before full system integration. Approaches include top-down and bottom-up integration.
- Validation testing verifies that the software meets the intended requirements and customer expectations defined in validation criteria.
- System testing evaluates the fully integrated software system, including recovery, security, stress,
YouTube Link: https://youtu.be/S2_AJP9Oeg0
**Test Automation Masters Program: https://www.edureka.co/masters-program/automation-testing-engineer-training **
This Edureka PPT on "Test Plan in Software Testing" will give you in-depth knowledge on how to create a Test Plan in Software Testing and why it is important. The following are the topics covered in the session:
Software Testing Documentation
What is Test Plan?
Benefits of Using Test Plan
Types of Test Plan
How to Write a Test Plan?
Test Plan Template / Test Plan Document
Software Testing Blog playlist: http://bit.ly/2UXwdJm
Selenium playlist: https://goo.gl/NmuzXE
Selenium Blog playlist: http://bit.ly/2B7C3QR
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
This document provides an introduction to software testing. It discusses software engineering and the software development life cycle (SDLC). The phases of the SDLC include problem definition, requirement analysis, planning, design, implementation, testing, deployment, and maintenance. Testing goals are to prevent and discover bugs. Different levels of testing include unit testing, integration testing, and system testing. The document also discusses testing concepts like the pesticide paradox, dichotomies between testing and debugging, and whether complete testing is possible.
The document discusses various topics related to software testing including the necessity of testing, goals of testing, different testing methods like static vs dynamic testing and white box vs black box testing, different testing levels from unit to system testing, testing approaches like bottom-up and top-down, different types of testing like alpha and beta testing, and functional vs non-functional testing. It provides examples of beta tests and concludes that complete testing is infeasible due to time and resource constraints.
This document discusses various black box testing techniques. Black box testing, also known as behavioral testing, involves testing a system without any knowledge of its internal structure or implementation. It involves testing a system based on its specifications and expected outputs for given inputs. The document describes several black box testing techniques including equivalence partitioning, boundary value analysis, comparison testing, orthogonal array testing, syntax-driven testing, decision table-based testing, and cause-and-effect graphs. These techniques help test a system from an external perspective to uncover errors in functionality, interfaces, behavior, and other issues.
Slides from Software Testing Techniques course offered at Kansas State University in Spring'16 and Spring'17. Entire course material can be found at https://github.com/rvprasad/software-testing-course.
The document provides an overview of manual software testing, including definitions, goals, and best practices. It discusses the importance of testing, what should be tested, quality principles, standards and certifications, the software development life cycle, and roles in the testing process. Testing is defined as evaluating a system to verify requirements or identify differences between expected and actual results. It aims to deliver high quality software by finding errors prior to release. Quality, defined as meeting customer requirements, is crucial and improved through principles like defect prevention. The document outlines the software development process and life cycle from requirement analysis through maintenance.
This document provides an overview of software testing concepts and definitions. It discusses key topics such as software quality, testing methods like static and dynamic testing, testing levels from unit to acceptance testing, and testing types including functional, non-functional, regression and security testing. The document is intended as an introduction to software testing principles and terminology.
Black-box testing is a method of software testing that examines the functionality of an application without peering into its internal structures or workings.
Testing, black ,white and gray box testingAamir Shakir
Black box, white box, and gray box testing techniques differ based on the level of internal knowledge of the system being tested. Black box testing assesses functionality without viewing internal structures. White box testing uses programming knowledge and examines internal logic and structures. Gray box testing combines aspects of black and white box testing by having some but not full internal knowledge. The techniques vary in their advantages like scalability, code coverage, and disadvantages such as redundancy.
Software testing is an important phase of the software development process that evaluates the functionality and quality of a software application. It involves executing a program or system with the intent of finding errors. Some key points:
- Software testing is needed to identify defects, ensure customer satisfaction, and deliver high quality products with lower maintenance costs.
- It is important for different stakeholders like developers, testers, managers, and end users to work together throughout the testing process.
- There are various types of testing like unit testing, integration testing, system testing, and different methodologies like manual and automated testing. Proper documentation is also important.
- Testing helps improve the overall quality of software but can never prove that there
Testing involves executing a program to find errors and is done at various stages - unit testing focuses on individual program modules, integration testing combines units and tests their interactions, and regression testing re-executes previous tests to ensure changes haven't caused errors. Key aspects of testing include white box testing which examines internal logic and black box testing which treats the program as a "black box" and focuses on inputs/outputs.
Unit testing refers to testing individual units or components of an application to ensure they are working as intended. It is typically performed by developers during coding to validate each part of the program. The goal of unit testing is to isolate units and validate their correctness independently before integration testing. Common techniques for unit testing include equivalence partitioning, boundary value analysis, and positive/negative testing.
The document discusses various software testing techniques including:
- Unit testing techniques like white box testing, gray box testing, and equivalence partitioning
- Integration testing techniques like boundary value analysis and error guessing
- The iterative process of test-driven development where tests are written before implementing features
It provides an example of using these techniques to test a TrafficSignal class through a series of test methods.
The document discusses various software testing strategies and concepts. It covers the goals of testing as verification (building the software right) and validation (building the right software). It also discusses different types of testing such as black box testing (based on inputs and outputs) and white box testing (based on code). Other topics covered include levels of testing (unit, integration, system), test measures, and a software testing plan.
Static testing examines and reviews software without executing it, while dynamic testing executes the software. There are different types of testing like unit, integration, system, and acceptance testing. Testing techniques include white box, black box, incremental, and thread testing. White box testing examines internal program structure and logic, while black box testing verifies requirements without considering internal structure.
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.
Black box testing techniques like equivalence partitioning and boundary value analysis help reduce the large number of potential test cases when testing without knowledge of internal implementation. Equivalence partitioning divides test cases into equivalence classes where members of a class are expected to behave the same. Boundary value analysis tests values at the boundaries of classes where errors are more likely. Together these techniques help select a relatively small number of representative test cases to derive full external functionality coverage during black box testing.
The document discusses different black box testing techniques, including equivalence partitioning, boundary value analysis, and state transition testing. Equivalence partitioning divides input domains into equivalence classes where members are expected to produce the same outputs. Boundary value analysis tests values at the boundaries of equivalence classes. State transition testing models a system as a finite state machine and aims to trigger all transitions by inputting events from each state. Together, these black box techniques structure black box testing around a system's specification without knowledge of its internal implementation.
This document discusses various types of software testing techniques used in the software development lifecycle (SDLC). It begins by describing different SDLC models like waterfall, prototyping, RAD, spiral and V-models. It then discusses the importance of testing at different stages of SDLC and different types of testing like static vs dynamic, black box vs white box, unit vs integration etc. The rest of the document elaborates on specific black box and white box testing techniques like equivalence partitioning, boundary value analysis, cause-effect graphing, statement coverage and basis path testing.
The document discusses various software testing techniques including black-box testing which focuses on inputs and outputs without seeing internal code, and white-box testing which considers internal logic and structures. Different levels of testing are covered from unit to acceptance testing. Strategies for effective test case design such as equivalence partitioning and boundary value analysis are also presented.
The document discusses various techniques for software testing including black box testing, equivalence partitioning, boundary value analysis, cause-effect graphing, pairwise testing, and special case testing. The goal of testing is to identify defects by designing test cases that are most likely to cause failures and reveal faults in the software.
The document discusses various topics related to software testing and maintenance. It defines key terms like testing, debugging, bugs, errors etc. It explains different types of testing like unit testing, integration testing, black box testing and white box testing. It also discusses software development life cycle, test plan, test case, test suite, testability. Testing methodologies like black box testing and white box testing are explained. Finally, it discusses different levels of testing like unit testing, integration testing and system testing.
The document discusses various types and techniques of software testing. It defines software testing as the process of executing a program to find errors. It describes different levels of testing like unit testing, integration testing, system testing etc. It explains black box and white box testing strategies and techniques for designing test cases like equivalence partitioning, boundary value analysis, cause-effect graphing etc. It also discusses limitations of testing and challenges in achieving complete testing.
The document discusses software testing objectives, principles, techniques and processes. It covers black-box and white-box testing, unit and integration testing, and challenges of object-oriented testing. Testing aims to find bugs but can never prove their absence. Exhaustive testing is impossible so testing must be planned and systematic. Frameworks like xUnit can help automate unit testing.
The document discusses various software testing techniques including black box testing, white box testing, and grey box testing. It provides details on specific techniques such as equivalence partitioning, boundary value analysis, statement coverage, condition coverage, function coverage, and cyclomatic complexity. The objective is to understand these techniques so they can be used effectively to test applications and find defects.
Dynamic black-box testing involves testing software without knowledge of its internal code by entering inputs, observing outputs, and checking results. The document discusses techniques for effective dynamic black-box testing including reducing test cases using equivalence partitioning, identifying boundary conditions, using various data values and states to find bugs, and applying repetition and high loads. It also covers using exploratory testing when requirements are not available and the approaches of test-to-pass and test-to-fail.
5.Black Box Testing and Levels of Testing.pptSyedAhmad732853
The document discusses different types and levels of software testing. It describes black-box testing techniques like equivalence partitioning and boundary value analysis that design test cases based on the software's specifications without knowledge of internal structure. It also discusses white-box testing, unit testing of individual modules, integration testing of combined modules, and system testing of the fully developed software. The levels of integration testing like top-down, bottom-up, and mixed approaches are also summarized.
The document outlines functional system testing techniques including test cases, test suites, functional analysis, equivalence partitioning, and boundary value analysis. It discusses the goal of testing being to uncover defects rather than track down bugs. Coverage and choosing representative test cases are important. Equivalence partitioning identifies valid and invalid input ranges, and boundary value analysis chooses boundary values and those just outside boundaries. Examples demonstrate applying these techniques to test a traffic violation system and country club admission system.
This document discusses randomization techniques for constrained random testing (CRT). It begins by explaining that CRT requires setting up an environment to predict results using a reference model or other techniques. This initial setup takes more work than directed testing, but allows running many automated tests without manual checking. The document then discusses various aspects of randomization, including what to randomize (device configurations, inputs, protocols, errors), how to specify constraints, and issues that can arise with randomization.
E-commerce Development Services- Hornet DynamicsHornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
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Why Mobile App Regression Testing is Critical for Sustained Success_ A Detail...kalichargn70th171
A dynamic process unfolds in the intricate realm of software development, dedicated to crafting and sustaining products that effortlessly address user needs. Amidst vital stages like market analysis and requirement assessments, the heart of software development lies in the meticulous creation and upkeep of source code. Code alterations are inherent, challenging code quality, particularly under stringent deadlines.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
2. Black Box Testing
Block-box testing (or functional testing, or behavior testing) focuses on the
functional requirements of the software.
In black-box testing, the system is like a black-box whose behavior can
only be determined by studying its inputs and the related outputs
A set of test cases is derived to exercise all functional requirements for the
program.
These tests are generally derived from the program specification
Black-box testing attempts to find the error in the following categories
Incorrect or missing functions
Interface errors
Error in data structures or external database access
Performance errors
Initialization and termination error
5. Why testing is hard
Let’s take a trivial example
Test the addition operation on a 32-bit machine
c = a + b
How many tests are needed?
How many values for a? 232
How many values for b? 232
Total possible input combinations? 232 x 232 = 264
6. Why testing is hard
Total possible input combinations? 232 x 232 = 264
Assume:
1 addition test requires 1 CPU cycle to execute
3GHz machine
1GH = 1,000,000,000 Hz = 108
1GHz means 1 billion cycles per second
One addition test/~1 cycle = 3x108 test/sec
Time = 264 / 3x108 = 6 x 1010 sec
= 694,445 days
Clearly need a smarter technique!!
7. An Efficient way
Many tests are redundant
In the adder example, most tests are equivalent.
They do not exercise any new part of the underlying circuit
For example, you might argue that
all additions of +ve numbers without overflow are equivalent
Addition of 0 to a +ve number is the same for all +ve numbers
Similarly for 0 + -ve number … etc.
This divides the tests into Equivalence Classes
Only one representative of each class need be tested!
8. Equivalence Classes
A set of equivalence classes is a partition of a set such that
Each element of the set is a member of exactly one
equivalence class
Only one representative of each class needs to be tested!
All other tests of inputs in the same equivalence class just repeat the
first one!
Dramatic reduction in total number of tests
No loss of ‘coverage’ or satisfaction that tests are complete
10. Equivalence classes (Formal Def.)
The elements of an equivalence class, C, are classified by an
equivalence relation, ~
If a C and b C , then a ~ b
The equivalence relation is
Reflexive a ~ a
Transitive if a ~ b and b ~ c, then a ~ c
Symmetric if a ~ b then b ~ a
A Representative of each class is an arbitrary member of the class
They’re all ‘equivalent’ – so choose any one!
11. Age Example
Equivalence classes are derived from rules in the specification
eg admission price: if age < 6, then free
if age < 16, then 50%
else full price
would lead to 3 equivalence classes:
age < 6; age 6 age < 16; age 16;
Choose representatives 3, 9 and 29 (or many other sets)
Equivalence classes
12. Equivalence classes
Other special cases
Nulls
Identity under addition: x + 0 = x
Unity
Identity under multiplication: x 1 = x
Range Maxima and Minima
illegal values
Should raise exceptions or return errors
Read the specification to determine behavior!
13. Equivalence classes
Consider this function
int max( int a, int b ){
if( a > b ) return a;
else return b;
}
There are two paths through this code, so the inputs falls into two
classes
Those for which a > b and
the rest
This implies that we have only two tests to make:
(a=5, b=3) and
(a=4, b=6)
14. Boundary Value Analysis (BVA)
If you can safely and confidently walk along the edge of a cliff without
falling off, you can almost certainly walk in the middle of a field.
If software can operate on the edge of its capabilities, it will almost
certainly operate well under normal conditions.
15. Boundary Value Analysis (BVA)
First–1/Last+1
Start–1/Finish+1
Less than Empty/More than Full
Even Slower/Even Faster
Largest+1/Smallest–1
Min–1/Max+1
Just Over/Just Under
Even Shorter/Longer
Even Sooner/Later
Highest+1/Lowest–1
16. Example of EC
A Program which edits the credit limits within a given range
($10,000 - $15,000) would have 3 equivalence classes
< 10,000 (invalid)
Between 10,000 and 15,000 (valid)
> 15,000 (invalid)
17. Example of BVA
A Program which edits the credit limits within a given range
($10,000 - $15,000) would have 3 equivalence classes
Lower boundary: - / + 1 (9,999 and 10,001)
On the boundary: (10,000 and 15,000)
Upper boundary: - / + 1 (14,999 and 15,001)
18. Types of testing under B.B.T.
The types of testing performed under Black box
testing
Integration testing (partial)
System testing
Acceptance testing
Regression testing (partial)
Testing after new changes are made
19. System testing
System testing is testing conducted on complete, integrated
system to evaluate system compliance with its requirements.
It comes after Integration testing
Objectives
To check whether the software system is made according to the
customer needs
To check for both functional and non-functional testing
To execute real life scenarios on the software
20. Acceptance testing
Acceptance testing is testing performed to check the acceptability of
the system.
Acceptance Testing is performed after System Testing and before
making the system available for actual use.
There are two types of Acceptance testing
1. Internal Acceptance testing (Alpha Testing)
It is performed by members of the organization that developed the
software but are not directly involved in the project (Development or
Testing).
Usually, it is the members of Product Management, Sales and/or
Customer Support and it is performed inside the software
organization.
21. Acceptance testing
2. External Acceptance testing
It is performed by customer and users.
It has two types
Customer Acceptance Testing
This is done by customers who asked the organization to build the
software for them.
User Acceptance Testing (Beta Testing)
This is done by the final users of the software at their place
23. In a bigger picture
During the process of manufacturing a ballpoint pen, the cap, the
body, the tail and clip, the ink cartridge and the ballpoint are
produced separately and unit tested separately.
When two or more units are ready, they are assembled and
Integration Testing is performed.
When the complete pen is integrated, System Testing is performed
to see if meets the specification.
Once System Testing is complete, Acceptance Testing is performed
so as to confirm that the ballpoint pen is ready to be made available
to the end-users.
26. Gray Box Testing
Gray box testing is a combination of white and black box testing
The tester knows a little about internal working and functional
requirements as well.
In that way tester is in better position to judge the implementation
as well as check conformance with the requirements.
Regarded as unbiased testing
27. Gray Box Testing…Example
Validation of a website is tested in a grey-box way
Grey box tester knows that validation is done using a JavaScript at
client-side but does not know implementation details
Now that we know the underlying mechanism, we can challenge it,
for its strengths and weaknesses.
He can turn off library and see how system would handle validation
without JavaScript library
One can perform better testing of mobile if he has a little idea about
its working (OS and Hardware).
28. Gray Box Testing…Example
Which scenario presents higher probability for a good testing?
1. Testing a car without knowing the technologies It uses.
1. Testing a car, while knowing the technologies (hw sw) it uses
Gray box testing is regarded as unbiased testing because the tester has limited knowledge of implementation, so he won’t be biased towards implementation like a developer.
Naturally a developer will test the software in a way that it wont go against his implementation.
If we know the technologies of a car including its hardware and software, we can test it by making challenging terrains, low light conditions, bright light conditions, humid areas, rough and patchy roads, long drives, speed ranges etc.
Testing a scanner without knowing how it operates vs. testing a scanner or photocopy machine, while knowing how it works.