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Software testing engineers are responsible for ensuring quality and identifying bugs through various testing techniques. This includes smoke testing to verify critical functionality, creating test cases and plans, performing load and stress testing to evaluate performance under different conditions, conducting user acceptance testing for user feedback, and using black box and white box testing methods.
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UNIT testing
Author: Sk mohamed kasim
Title : unit testing
It is detailed presentation of unit testing
It consit explanation of black box and white box testing
Sonar Metrics
Using Sonar efficiently means perfectly understanding the definition and calculation algorithm of each one of the metrics.
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The document discusses various software testing techniques. It covers the objectives of testing as finding errors and having a high probability of discovering undiscovered errors. It describes different types of testing like white-box testing, which tests internal logic and paths, and black-box testing, which tests external functionality. Specific techniques covered include basis path testing, equivalence partitioning, boundary value analysis, and graph-based testing methods. The importance of testability, traceability, simplicity, and understandability are emphasized.
Chris brown ti
This document describes a case study of a staged migration from e to SystemVerilog at a company designing SERDES chips. It discusses advantages like reduced risk and training staff in small groups. Technical challenges addressed include coordinating simulation timelines and communicating between testbench parts in different languages. Solutions involved making SVTB the master, writing testcases as if fully converted, and using Verilog to pass info between languages. A proof of concept showed the converted approach. Supporting multiple simulators involved using a tool that connects a Pioneer-based SVTB to DUTs in other simulators to avoid lowest common denominator issues.
Unit testing
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.
White box testing
White box testing involves testing the internal structure and code of a software program, allowing testers to see inside the "box". It is used to test for internal security holes, code paths, expected outputs, and functionality of conditional statements. It involves understanding the source code and creating test cases to execute each process individually through manual testing and testing tools. Common techniques include statement, branch, condition coverage, and path testing. White box testing can thoroughly test all code paths but is complex, expensive, time-consuming, and requires professional resources with programming expertise.
Se (techniques for black box testing ppt)
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.
Black box testing lecture 11
Dynamic black-box testing involves testing software without knowledge of its internal code by entering various inputs and checking the outputs. Key aspects include reducing test cases using equivalence partitioning to group similar inputs and outputs, identifying boundary conditions, using different data values and software states to find bugs, and using exploratory testing without specifications by systematically exploring features. The document contrasts testing-to-pass with simpler cases versus testing-to-fail with more complex cases aimed at breaking the software. Equivalence partitioning is described as a way to methodically reduce the huge number of potential test cases into a smaller yet still effective set by grouping inputs and outputs that will reveal the same bugs.
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UNIT testing
Author: Sk mohamed kasim
Title : unit testing
It is detailed presentation of unit testing
It consit explanation of black box and white box testing
Sonar Metrics
Using Sonar efficiently means perfectly understanding the definition and calculation algorithm of each one of the metrics.
Software Testing Tecniques
The document discusses various software testing techniques. It covers the objectives of testing as finding errors and having a high probability of discovering undiscovered errors. It describes different types of testing like white-box testing, which tests internal logic and paths, and black-box testing, which tests external functionality. Specific techniques covered include basis path testing, equivalence partitioning, boundary value analysis, and graph-based testing methods. The importance of testability, traceability, simplicity, and understandability are emphasized.
Chris brown ti
This document describes a case study of a staged migration from e to SystemVerilog at a company designing SERDES chips. It discusses advantages like reduced risk and training staff in small groups. Technical challenges addressed include coordinating simulation timelines and communicating between testbench parts in different languages. Solutions involved making SVTB the master, writing testcases as if fully converted, and using Verilog to pass info between languages. A proof of concept showed the converted approach. Supporting multiple simulators involved using a tool that connects a Pioneer-based SVTB to DUTs in other simulators to avoid lowest common denominator issues.
Unit testing
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.
White box testing
White box testing involves testing the internal structure and code of a software program, allowing testers to see inside the "box". It is used to test for internal security holes, code paths, expected outputs, and functionality of conditional statements. It involves understanding the source code and creating test cases to execute each process individually through manual testing and testing tools. Common techniques include statement, branch, condition coverage, and path testing. White box testing can thoroughly test all code paths but is complex, expensive, time-consuming, and requires professional resources with programming expertise.
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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.
Black box testing lecture 11
Dynamic black-box testing involves testing software without knowledge of its internal code by entering various inputs and checking the outputs. Key aspects include reducing test cases using equivalence partitioning to group similar inputs and outputs, identifying boundary conditions, using different data values and software states to find bugs, and using exploratory testing without specifications by systematically exploring features. The document contrasts testing-to-pass with simpler cases versus testing-to-fail with more complex cases aimed at breaking the software. Equivalence partitioning is described as a way to methodically reduce the huge number of potential test cases into a smaller yet still effective set by grouping inputs and outputs that will reveal the same bugs.
Unit Testing
The document discusses unit testing and provides guidance on how to effectively implement unit testing. It defines unit testing as testing individual units or components of software code to verify they are functioning as intended. The document outlines best practices for unit testing such as writing test cases that cover valid, invalid, and boundary conditions. It also recommends testing frameworks like JUnit that can automate running test cases. Overall, the document advocates for developing a rigorous unit testing strategy and practicing habits like writing tests first and continuously running tests to improve code quality.
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Software Engineering Lec 10 -software testing--
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Test Automation Approach
The document discusses test automation before and after implementing the test pyramid approach. It recommends that all tests become a team responsibility with an owner. It describes the different types of tests in the pyramid from unit to integration to UI tests. Unit tests should be written by developers to cover code and are highest priority. Integration tests verify component interactions and can be written by developers or quality engineers. UI tests cover long scenarios and business flows and are written by quality engineers.
Manual testing - Introduction to Manual Software testing
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Black Box Testing
Black box testing is a software testing method where the internal structure of the item being tested is not known to the tester. It focuses on the functional requirements and tests the functionality of an application without looking at the internal code or structure. Black box testing can find errors in functions, interfaces, data structures, performance, initialization and termination. It is applicable to integration, system and acceptance testing levels. Common techniques include equivalence partitioning, boundary value analysis and cause-effect graphing.
Qtp 101
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Testing ppt
hi, here i m uploading testing ppt which includes content as follows:
1.testing process
2.observations about testing
3.levels of testing
4.unit testing
5.why integration testing is necessary?
6.validation testing
7.alpha and beta testing
8.acceptance testing
9.testing methods
10.white box testing
11.black box testing
12.top down testing
13.bottom up testing
14.ALAC(Act-like-a-customer)
15.dynamic testing classifications
16.usability testing
17.security testing
18.performance testing
19.performance testing types
20.load testing
21.volume testing
22.stress testing
23.documentation
24.test plan
25.test scenario
26.test case
27.traceability matrix
Unit testing
The document outlines five phases of software testing: development, system and integration, user acceptance, implementation, and regression testing. It describes unit testing as focusing on testing individual code units for functionality and reliability. Unit tests are conducted during the development phase using structural or functional techniques. Entry criteria for unit testing include having 80% complete and approved business requirements, a finalized technical design, and an established development environment. Exit criteria include holding a testing transition meeting where developers sign off and receiving project manager approval.
Python: Object-Oriented Testing (Unit Testing)
- Unit testing involves testing individual units or components of a program, such as classes or methods.
- The unittest module provides a framework for writing and running tests in Python. It includes a TestCase class that allows setting up tests and making assertions.
- Writing unit tests involves creating subclasses of TestCase and writing individual test methods that make assertions about the expected output of the code being tested. The setUp method can initialize common values used across tests.
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What is Software Testing Software Testing is an activity in software development.
It is an investigation performed against a software to provide information about the quality of the software to stakeholders.
Software testing is associated with the two terms.
Validation: Are we doing the right job?
Verification: Are we doing the job right?
Case study "Virtual Show Room" – VSR,water fall model,General Principles of Testing,
The General V-Model
Unit Testing
Component Testing
Integration Testing
System Testing
Acceptance Testing
Software testing and quality assurance
Why use Specflow (Gherkin) and Selenium ?
Unit tests, functional tests, integration tests, acceptance tests ...
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White box & Black box testing
White box testing involves testing internal coding and infrastructure by executing different lines of code. It is done by developers who have knowledge of the internal structure. Black box testing treats the system as a "black box" and tests it without knowledge of internal structures by validating inputs and outputs. Unit testing validates individual units of source code and is done by developers to ensure each part is correct before integration. Both white box and unit testing can be done earlier and be more thorough than black box testing, but require more skilled testers and knowledge of internal structures. Black box testing can be done by non-technical testers and from an end user perspective.
Software testing tools
Software Testing Tools are used to test the software fast which is done by Software Tester or Automation Software Tester. Their is too many types of Automation Tools which is used by Software Testing Companies.
Automated Testing vs Manual Testing
Manual testing takes more effort and cost than automated testing. It is more boring and provides limited visibility for stakeholders. Automated tests can test single units, are reusable, and provide a safety net for refactoring. They also ensure all tests are run, drive clean design, and do not create code clutter like manual tests. An initial learning curve and questions around organization and reuse may prevent developers from writing automated tests, but designating responsibility and learning tools can help overcome these issues.
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* How to create automatic tests with various tools;
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This generic powerpoint presentation does not provide any details about its content or purpose in the given text. No information is presented to summarize.
Smoke testing a_necessary_evil!
Smoke testing exercises the entire system to detect errors that could prevent further functioning. It is not exhaustive but ensures major functionality works and the build is stable for thorough testing. Advantages include minimizing integration risks, reducing low quality risks, uncovering major problems earlier, and saving time and cost versus finding errors late. Components of a smoke test suite focus on positive tests for key features without depth, to validate overall stability. Responsibilities for smoke testing should be defined upfront between developers and testers.
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The document discusses unit testing and provides guidance on how to effectively implement unit testing. It defines unit testing as testing individual units or components of software code to verify they are functioning as intended. The document outlines best practices for unit testing such as writing test cases that cover valid, invalid, and boundary conditions. It also recommends testing frameworks like JUnit that can automate running test cases. Overall, the document advocates for developing a rigorous unit testing strategy and practicing habits like writing tests first and continuously running tests to improve code quality.
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Unit testing provides business advantages by promoting modular and object-oriented design. The document discusses unit testing in C/C++, including how to write simple unit tests, break dependencies between modules to facilitate testing, optimize tests for readability, and address performance when adding tests. It emphasizes starting small with a focus on real bugs and maintaining high quality and accessibility of tests.
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Verification and validation are processes to ensure a software system meets user needs. Verification checks that the product is being built correctly, while validation checks it is the right product. Both are life-cycle processes applying at each development stage. The goal is to discover defects and assess usability. Testing can be static like code analysis or dynamic by executing the product. Different testing types include unit, integration, system, and acceptance testing. An effective testing process involves planning test cases, executing them, and evaluating results.
Test Automation Approach
The document discusses test automation before and after implementing the test pyramid approach. It recommends that all tests become a team responsibility with an owner. It describes the different types of tests in the pyramid from unit to integration to UI tests. Unit tests should be written by developers to cover code and are highest priority. Integration tests verify component interactions and can be written by developers or quality engineers. UI tests cover long scenarios and business flows and are written by quality engineers.
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This presentation is about the following points ,
Introduction to Manual Software testing,
What is Testing,
What is Quality,
How to define Software Testing Principles,
What are the types of Software Tests,
What is Test Planning,
Test Execution and Reporting,
Real-Time Testing,
Types of test tools
The document discusses various types of test tools used at different stages of testing. It describes tools for test management, requirements management, incident management, configuration management, static testing, static analysis, modeling, test design, test data preparation, test execution, test harness, test comparators, coverage measurement, security testing, dynamic analysis, performance testing, load testing, stress testing, monitoring and thanks the reader. The tools support activities like scheduling tests, tracking bugs, reviewing code, generating test data, automating test execution, measuring code coverage and monitoring system performance.
Black Box Testing
Black box testing is a software testing method where the internal structure of the item being tested is not known to the tester. It focuses on the functional requirements and tests the functionality of an application without looking at the internal code or structure. Black box testing can find errors in functions, interfaces, data structures, performance, initialization and termination. It is applicable to integration, system and acceptance testing levels. Common techniques include equivalence partitioning, boundary value analysis and cause-effect graphing.
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Software testing is an investigative process that provides an objective view of software to understand risks of new implementations. There are two types of testing: manual and automated. Automated testing uses tools like QTP to automate testing. QTP scripts can be recorded or custom written and it uses VBScript. QTP has different recording modes like context sensitive, analog, and low level. Checkpoints in QTP compare values to expected results and include standard, bitmap, and text checkpoints.
Testing ppt
hi, here i m uploading testing ppt which includes content as follows:
1.testing process
2.observations about testing
3.levels of testing
4.unit testing
5.why integration testing is necessary?
6.validation testing
7.alpha and beta testing
8.acceptance testing
9.testing methods
10.white box testing
11.black box testing
12.top down testing
13.bottom up testing
14.ALAC(Act-like-a-customer)
15.dynamic testing classifications
16.usability testing
17.security testing
18.performance testing
19.performance testing types
20.load testing
21.volume testing
22.stress testing
23.documentation
24.test plan
25.test scenario
26.test case
27.traceability matrix
Unit testing
The document outlines five phases of software testing: development, system and integration, user acceptance, implementation, and regression testing. It describes unit testing as focusing on testing individual code units for functionality and reliability. Unit tests are conducted during the development phase using structural or functional techniques. Entry criteria for unit testing include having 80% complete and approved business requirements, a finalized technical design, and an established development environment. Exit criteria include holding a testing transition meeting where developers sign off and receiving project manager approval.
Python: Object-Oriented Testing (Unit Testing)
- Unit testing involves testing individual units or components of a program, such as classes or methods.
- The unittest module provides a framework for writing and running tests in Python. It includes a TestCase class that allows setting up tests and making assertions.
- Writing unit tests involves creating subclasses of TestCase and writing individual test methods that make assertions about the expected output of the code being tested. The setUp method can initialize common values used across tests.
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Are you sure you're well versed with the intricate details of the techniques involved in software testing? Via this PPT, get some insight on static and dynamic software testing techniques, white box testing, and black box testing as well stay tuned for more!
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Learn the strengths and weaknesses of .NET static analysis—and how a comprehensive development testing strategy that also includes unit testing, code review, and runtime error detection can pick up where development testing leaves off.
Testing concepts
Foundation level testing Concepts,Non function testing ,Non-Functional testing ,Selenium Tool,
What is Software Testing Software Testing is an activity in software development.
It is an investigation performed against a software to provide information about the quality of the software to stakeholders.
Software testing is associated with the two terms.
Validation: Are we doing the right job?
Verification: Are we doing the job right?
Case study "Virtual Show Room" – VSR,water fall model,General Principles of Testing,
The General V-Model
Unit Testing
Component Testing
Integration Testing
System Testing
Acceptance Testing
Software testing and quality assurance
Why use Specflow (Gherkin) and Selenium ?
Unit tests, functional tests, integration tests, acceptance tests ...
Database Unit Testing Made Easy with VSTS
This document discusses database unit testing using Visual Studio Team System (VSTS). It begins with an overview of software testing basics and unit testing principles. It then covers database unit testing terminology, principles of isolation and independence, and testable interfaces of stored procedures. The document outlines different levels of unit testing and factors to consider. It demonstrates implementing database unit testing in VSTS 2010 and new features in VSTS 2012. The goal is to show how VSTS can be used to test database code and improve quality.
White box & Black box testing
White box testing involves testing internal coding and infrastructure by executing different lines of code. It is done by developers who have knowledge of the internal structure. Black box testing treats the system as a "black box" and tests it without knowledge of internal structures by validating inputs and outputs. Unit testing validates individual units of source code and is done by developers to ensure each part is correct before integration. Both white box and unit testing can be done earlier and be more thorough than black box testing, but require more skilled testers and knowledge of internal structures. Black box testing can be done by non-technical testers and from an end user perspective.
Software testing tools
Software Testing Tools are used to test the software fast which is done by Software Tester or Automation Software Tester. Their is too many types of Automation Tools which is used by Software Testing Companies.
Automated Testing vs Manual Testing
Manual testing takes more effort and cost than automated testing. It is more boring and provides limited visibility for stakeholders. Automated tests can test single units, are reusable, and provide a safety net for refactoring. They also ensure all tests are run, drive clean design, and do not create code clutter like manual tests. An initial learning curve and questions around organization and reuse may prevent developers from writing automated tests, but designating responsibility and learning tools can help overcome these issues.
Testing Tools
Not long ago, testing Ajax components meant play-testing a page by hand. Today, there are a growing number of tools we can use to simplify and automate Ajax testing.
In this session we will cover when to test, what to test and how to test Ajax components. You learn how to create automatic tests with various tools, including YUI Test, and OpenQA Selenium, and how to use Ajax testing tools with IDEs and Continuous Integration systems.
In this session, you will learn:
* When, where and how to test Ajax components;
* How to create automatic tests with various tools;
* How to use Ajax testing tools with IDEs and Continuous Integration systems.
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Manual testing - Introduction to Manual Software testing
Beyond Static Analysis: Integrating .NET Static Analysis with Unit Testing a...
Beyond Static Analysis: Integrating .NET Static Analysis with Unit Testing a...
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QAST427: Smoke Test
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Smoke testing a_necessary_evil!
Smoke testing exercises the entire system to detect errors that could prevent further functioning. It is not exhaustive but ensures major functionality works and the build is stable for thorough testing. Advantages include minimizing integration risks, reducing low quality risks, uncovering major problems earlier, and saving time and cost versus finding errors late. Components of a smoke test suite focus on positive tests for key features without depth, to validate overall stability. Responsibilities for smoke testing should be defined upfront between developers and testers.
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Smoke testing
Smoke testing is a preliminary test performed on software to ensure major functions work before further testing. It originated from hardware testing where turning on new hardware without it catching fire was considered a pass. Smoke tests check core functionality at a high level without detail to quickly reveal failures severe enough to reject a prospective release. They help conserve time and resources by screening out builds with major defects early in the development process.
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Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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Paper Link: https://eprint.iacr.org/2024/257
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