This document describes a flexible software test framework called Flex Test that was developed to overcome common problems with software test systems. Flex Test allows tests to be easily configured and run across different instruments. It stores all test parameters, data, and results in an organized format. The interface provides tabs to switch between different pre-programmed tests or to queue multiple tests. Configuration files separate test setup from execution. Flex Test notifies users when tests complete and generates detailed reports. Its instrument drivers abstract commands to support changing instruments and it can simulate connections during development. The developer seeks feedback on features and tests of interest.
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.
The document discusses different types of software assessment techniques, including metric-oriented assessments, unified model assessments, process improvement assessments, and tool support assessments. It also covers the importance of version and release management in tracking different versions of a system. Finally, it discusses various software testing fundamentals, strategies, and principles, such as unit testing, integration testing, validation testing, stress testing, and the importance of designing software for testability.
During the specification phase of testing, required tests and starting points are specified to prepare for quickly executing tests when developers deliver the test object. The execution phase then obtains insight into quality through agreed upon tests. Different types of testing include acceptance, unit, functional, exploratory, and performance/load testing which validate both business needs and implementation and help both the product and team.
The document discusses unit testing, defining it as testing the smallest piece of code in isolation. It provides an example of a unit (a math class with an Add method) and unit test (a test method that calls Add and asserts the expected result). It outlines considerations for unit testing like interfaces, data structures, and paths. It describes the unit testing procedure of using a driver and stubs to provide a complete testing environment and isolate the module under test.
Automated Regression Testing for Embedded Systems in ActionAANDTech
This presentation shows a real world example of streamlining the software development for a medical device system, using continuous integration, Behavior Driven Development, and even robotics!
These ideas may be applied to any software project, regardless of budget or technologies.
The document discusses test automation, including its objectives, benefits, misconceptions, and what is required for effective implementation. It outlines the key steps in planning and designing a test automation strategy, including choosing the right tests to automate, selecting tools, defining requirements, designing architecture, and ensuring maintainability through standards and processes.
Test-driven development (TDD) is a software development process where test cases are written before code is produced. The process involves writing a failing test case, producing the minimum amount of code to pass the test, and refactoring the new code. TDD encourages writing automated tests that can be repeatedly executed after small code changes to ensure all tests continue to pass.
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.
The document discusses different types of software assessment techniques, including metric-oriented assessments, unified model assessments, process improvement assessments, and tool support assessments. It also covers the importance of version and release management in tracking different versions of a system. Finally, it discusses various software testing fundamentals, strategies, and principles, such as unit testing, integration testing, validation testing, stress testing, and the importance of designing software for testability.
During the specification phase of testing, required tests and starting points are specified to prepare for quickly executing tests when developers deliver the test object. The execution phase then obtains insight into quality through agreed upon tests. Different types of testing include acceptance, unit, functional, exploratory, and performance/load testing which validate both business needs and implementation and help both the product and team.
The document discusses unit testing, defining it as testing the smallest piece of code in isolation. It provides an example of a unit (a math class with an Add method) and unit test (a test method that calls Add and asserts the expected result). It outlines considerations for unit testing like interfaces, data structures, and paths. It describes the unit testing procedure of using a driver and stubs to provide a complete testing environment and isolate the module under test.
Automated Regression Testing for Embedded Systems in ActionAANDTech
This presentation shows a real world example of streamlining the software development for a medical device system, using continuous integration, Behavior Driven Development, and even robotics!
These ideas may be applied to any software project, regardless of budget or technologies.
The document discusses test automation, including its objectives, benefits, misconceptions, and what is required for effective implementation. It outlines the key steps in planning and designing a test automation strategy, including choosing the right tests to automate, selecting tools, defining requirements, designing architecture, and ensuring maintainability through standards and processes.
Test-driven development (TDD) is a software development process where test cases are written before code is produced. The process involves writing a failing test case, producing the minimum amount of code to pass the test, and refactoring the new code. TDD encourages writing automated tests that can be repeatedly executed after small code changes to ensure all tests continue to pass.
System testing involves testing the entire integrated software system to evaluate whether it meets its required specifications. This includes recovery testing to ensure the system can recover from failures, security testing to check protection mechanisms against unauthorized access, stress testing to evaluate performance under abnormal stressful situations, and performance testing to determine if the system meets non-functional requirements for runtime performance.
JUnit4 provides annotations to simplify testing in Java, including annotations for test methods (@Test), set up (@Before), and tear down (@After). It allows ignoring tests (@Ignore) and setting timers (@Test(timeout=)) for benchmarking. Key features include not requiring test classes to extend TestCase and allowing additional flexibility in naming and organization of test code.
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.
SE2018_Lec 20_ Test-Driven Development (TDD)Amr E. Mohamed
The document discusses test-driven development (TDD) and unit testing. It explains that TDD follows a cycle of writing an initial failing test case, producing just enough code to pass that test, and refactoring the code. Unit testing involves writing test cases for individual classes or functions, using assertions to validate expected outcomes. The JUnit framework is introduced for writing and running unit tests in Java.
System testing is the third level of software testing that evaluates a fully integrated software system to ensure it meets specified requirements. It tests the complete and fully configured system by using black box testing methods. Independent testers will prepare, review, rework and finalize the system test plan and test cases before performing the system testing on the complete integrated software.
This document outlines a test plan template for testing a product. It includes sections for objectives and tasks, scope, testing strategy, hardware and environment requirements, test schedule, control procedures, features to be tested, resources and responsibilities, schedules, impacted departments, dependencies, risks, tools, and approvals. The testing strategy section describes the different types of testing to be performed, including unit, integration, performance, user acceptance, batch, regression, and beta testing. It provides definitions and outlines the methodology for each type. The document provides a framework to define all aspects of testing for a project.
Unit testing involves testing individual units or components of code to ensure they work as intended. It focuses on testing functional correctness, error handling, and input/output values. The main benefits are faster debugging, easier integration testing, and living documentation. Guidelines for effective unit testing include writing automated, independent, focused tests that cover boundaries and are easy to run and maintain.
Model–driven system testing service oriented systemsRifad Mohamed
This paper presents a model-driven approach for testing service-oriented systems. A test meta-model is defined using UML profiles for the system and test models. Test models can be checked for consistency and coverage and transformed into executable test code via adapters. Adapters invoke services in the system under test and test runners execute the generated test code in order defined by test sequences. The approach aims to generate test code from models in early stages of development and integrate with IDEs and testing frameworks.
Test driven development and unit testing with examples in C++Hong Le Van
Test-driven development (TDD) relies on short development cycles of writing a failing test case, producing code to pass that test, and refactoring the code. Unit testing tests individual units of code by isolating each part and showing they work correctly. Boost.Test is a popular C++ unit testing framework that allows organizing tests into suites and fixtures, and provides assertions and output of results. A minimal Boost.Test example defines a test case using BOOST_AUTO_TEST_CASE that contains an assertion like BOOST_CHECK_EQUAL to test that 2+2 equals 4.
This document discusses different types of automated testing tools. It describes capture/playback tools which record manual test steps for automated replay. Test scripting tools allow programmers to write scripts that input test data and check outputs. Random input tools randomly test a program to try to cause failures without validating outputs. Model-based tools generate tests from a model of the system under test to thoroughly cover its states and behaviors. Each tool type has advantages like ease of rerunning tests, but also disadvantages like maintenance effort or limited 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.
This document discusses software quality assurance test cases. It defines a test case as a set of conditions or variables to determine if an application works correctly. It outlines the typical structure of a test case, including sections for information, activity, results, and provides an example test case template. The document encourages deriving test cases from a specification using the template to design them.
It's Not a Bug, It's a Feature — How Misclassification Impacts Bug Predictionsjust
The document discusses how bug reports in issue trackers are often misclassified, which can impact bug prediction and analysis of code quality. The authors manually classified over 7,000 bug reports from 5 open source projects, finding that on average 33% were misclassified. This level of misclassification means that bug count models and rankings of files by number of bugs would be incorrect for many files.
The Impact of Test Ownership and Team Structure on the Reliability and Effect...Kim Herzig
The document discusses how test ownership and team structure can impact test reliability and effectiveness. It analyzes metrics related to test ownership, such as the number of test owners, owners who have left the company, and organizational structure of owners. The analysis found that tests with more concentrated ownership among fewer groups tended to be more effective, while distributed or scattered ownership across multiple groups made tests less effective. Tests were also less effective if owners who had left the company contributed to them. The organizational structure metrics proved to be good predictors of test effectiveness and excellent predictors of test reliability.
Black-box testing is a software testing strategy that evaluates the functionality of a system without knowledge of its internal structure or implementation. It views the system as a "black box" and tests the system based on its requirements and expected outputs for various inputs. The presentation discusses how black-box testing fits into the broader framework of software testing theory and strategies. It also outlines how black-box testing can help testers find bugs by aggressively testing to break the system without knowledge of its internal logic. The goal of testing is to find as many bugs as possible before product release to improve quality.
6months industrial training in software testing, jalandhardeepikakaler1
E2marix is leading Training & Certification Company offering Corporate Training Programs, IT Education Courses in diversified areas.Since its inception, E2matrix educational Services have trained and certified many students and professionals.
TECHNOLOGIES PROVIDED -
MATLAB
NS2
IMAGE PROCESSING
.NET
SOFTWARE TESTING
DATA MINING
NEURAL networks
HFSS
WEKA
ANDROID
CLOUD computing
COMPUTER NETWORKS
FUZZY LOGIC
ARTIFICIAL INTELLIGENCE
LABVIEW
EMBEDDED
VLSI
Address
Opp. Phagwara Bus Stand, Above Bella
Pizza, Handa City Center, Phagwara
email-e2matrixphagwara@gmail.com
jalandhare2matrix@gmail.com
Web site-www.e2matrix.com
CONTACT NUMBER --
07508509730
09041262727
7508509709
6 weeks summer training in software testing,jalandhardeepikakaler1
This document discusses different types of software testing including unit testing, integration testing, system testing, and acceptance testing. It provides details on how each type of testing is conducted at different stages of the software development process. It also discusses best practices for writing test cases, including deriving test cases from requirements, use cases, and scenarios. The key points made are that acceptance testing demonstrates working functionality for the customer while unit testing focuses on finding faults, and that table-based test cases can help clarify requirements.
This document lists 5 newspaper names: Dainik Bhaskar is listed twice, while Dainik Navajyoti, Rajasthan Patrika are each listed once. The document provides a list of 5 newspaper names with some duplicates.
Un niño le entregó a su madre una nota detallando varias tareas que había realizado y su valor monetario, esperando ser pagado. Sin embargo, la madre escribió en el reverso de la nota todas las cosas por las que un hijo no puede pagar a su madre, como darle la vida y el amor de la familia. Al leerlo, el niño se dio cuenta de que el amor de una madre es lo más valioso y no puede ser pagado, escribiendo "Totalmente pagado" al final.
System testing involves testing the entire integrated software system to evaluate whether it meets its required specifications. This includes recovery testing to ensure the system can recover from failures, security testing to check protection mechanisms against unauthorized access, stress testing to evaluate performance under abnormal stressful situations, and performance testing to determine if the system meets non-functional requirements for runtime performance.
JUnit4 provides annotations to simplify testing in Java, including annotations for test methods (@Test), set up (@Before), and tear down (@After). It allows ignoring tests (@Ignore) and setting timers (@Test(timeout=)) for benchmarking. Key features include not requiring test classes to extend TestCase and allowing additional flexibility in naming and organization of test code.
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.
SE2018_Lec 20_ Test-Driven Development (TDD)Amr E. Mohamed
The document discusses test-driven development (TDD) and unit testing. It explains that TDD follows a cycle of writing an initial failing test case, producing just enough code to pass that test, and refactoring the code. Unit testing involves writing test cases for individual classes or functions, using assertions to validate expected outcomes. The JUnit framework is introduced for writing and running unit tests in Java.
System testing is the third level of software testing that evaluates a fully integrated software system to ensure it meets specified requirements. It tests the complete and fully configured system by using black box testing methods. Independent testers will prepare, review, rework and finalize the system test plan and test cases before performing the system testing on the complete integrated software.
This document outlines a test plan template for testing a product. It includes sections for objectives and tasks, scope, testing strategy, hardware and environment requirements, test schedule, control procedures, features to be tested, resources and responsibilities, schedules, impacted departments, dependencies, risks, tools, and approvals. The testing strategy section describes the different types of testing to be performed, including unit, integration, performance, user acceptance, batch, regression, and beta testing. It provides definitions and outlines the methodology for each type. The document provides a framework to define all aspects of testing for a project.
Unit testing involves testing individual units or components of code to ensure they work as intended. It focuses on testing functional correctness, error handling, and input/output values. The main benefits are faster debugging, easier integration testing, and living documentation. Guidelines for effective unit testing include writing automated, independent, focused tests that cover boundaries and are easy to run and maintain.
Model–driven system testing service oriented systemsRifad Mohamed
This paper presents a model-driven approach for testing service-oriented systems. A test meta-model is defined using UML profiles for the system and test models. Test models can be checked for consistency and coverage and transformed into executable test code via adapters. Adapters invoke services in the system under test and test runners execute the generated test code in order defined by test sequences. The approach aims to generate test code from models in early stages of development and integrate with IDEs and testing frameworks.
Test driven development and unit testing with examples in C++Hong Le Van
Test-driven development (TDD) relies on short development cycles of writing a failing test case, producing code to pass that test, and refactoring the code. Unit testing tests individual units of code by isolating each part and showing they work correctly. Boost.Test is a popular C++ unit testing framework that allows organizing tests into suites and fixtures, and provides assertions and output of results. A minimal Boost.Test example defines a test case using BOOST_AUTO_TEST_CASE that contains an assertion like BOOST_CHECK_EQUAL to test that 2+2 equals 4.
This document discusses different types of automated testing tools. It describes capture/playback tools which record manual test steps for automated replay. Test scripting tools allow programmers to write scripts that input test data and check outputs. Random input tools randomly test a program to try to cause failures without validating outputs. Model-based tools generate tests from a model of the system under test to thoroughly cover its states and behaviors. Each tool type has advantages like ease of rerunning tests, but also disadvantages like maintenance effort or limited 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.
This document discusses software quality assurance test cases. It defines a test case as a set of conditions or variables to determine if an application works correctly. It outlines the typical structure of a test case, including sections for information, activity, results, and provides an example test case template. The document encourages deriving test cases from a specification using the template to design them.
It's Not a Bug, It's a Feature — How Misclassification Impacts Bug Predictionsjust
The document discusses how bug reports in issue trackers are often misclassified, which can impact bug prediction and analysis of code quality. The authors manually classified over 7,000 bug reports from 5 open source projects, finding that on average 33% were misclassified. This level of misclassification means that bug count models and rankings of files by number of bugs would be incorrect for many files.
The Impact of Test Ownership and Team Structure on the Reliability and Effect...Kim Herzig
The document discusses how test ownership and team structure can impact test reliability and effectiveness. It analyzes metrics related to test ownership, such as the number of test owners, owners who have left the company, and organizational structure of owners. The analysis found that tests with more concentrated ownership among fewer groups tended to be more effective, while distributed or scattered ownership across multiple groups made tests less effective. Tests were also less effective if owners who had left the company contributed to them. The organizational structure metrics proved to be good predictors of test effectiveness and excellent predictors of test reliability.
Black-box testing is a software testing strategy that evaluates the functionality of a system without knowledge of its internal structure or implementation. It views the system as a "black box" and tests the system based on its requirements and expected outputs for various inputs. The presentation discusses how black-box testing fits into the broader framework of software testing theory and strategies. It also outlines how black-box testing can help testers find bugs by aggressively testing to break the system without knowledge of its internal logic. The goal of testing is to find as many bugs as possible before product release to improve quality.
6months industrial training in software testing, jalandhardeepikakaler1
E2marix is leading Training & Certification Company offering Corporate Training Programs, IT Education Courses in diversified areas.Since its inception, E2matrix educational Services have trained and certified many students and professionals.
TECHNOLOGIES PROVIDED -
MATLAB
NS2
IMAGE PROCESSING
.NET
SOFTWARE TESTING
DATA MINING
NEURAL networks
HFSS
WEKA
ANDROID
CLOUD computing
COMPUTER NETWORKS
FUZZY LOGIC
ARTIFICIAL INTELLIGENCE
LABVIEW
EMBEDDED
VLSI
Address
Opp. Phagwara Bus Stand, Above Bella
Pizza, Handa City Center, Phagwara
email-e2matrixphagwara@gmail.com
jalandhare2matrix@gmail.com
Web site-www.e2matrix.com
CONTACT NUMBER --
07508509730
09041262727
7508509709
6 weeks summer training in software testing,jalandhardeepikakaler1
This document discusses different types of software testing including unit testing, integration testing, system testing, and acceptance testing. It provides details on how each type of testing is conducted at different stages of the software development process. It also discusses best practices for writing test cases, including deriving test cases from requirements, use cases, and scenarios. The key points made are that acceptance testing demonstrates working functionality for the customer while unit testing focuses on finding faults, and that table-based test cases can help clarify requirements.
This document lists 5 newspaper names: Dainik Bhaskar is listed twice, while Dainik Navajyoti, Rajasthan Patrika are each listed once. The document provides a list of 5 newspaper names with some duplicates.
Un niño le entregó a su madre una nota detallando varias tareas que había realizado y su valor monetario, esperando ser pagado. Sin embargo, la madre escribió en el reverso de la nota todas las cosas por las que un hijo no puede pagar a su madre, como darle la vida y el amor de la familia. Al leerlo, el niño se dio cuenta de que el amor de una madre es lo más valioso y no puede ser pagado, escribiendo "Totalmente pagado" al final.
Siamo specializzati nello studiare e realizzare i progetti
in diversi ambiti ed esattamente:
1. Teatri con una grande esperienza nella video
comunicazione e nelle attività di BTL.
Con il BTL, l’emozione del Live rende ancora più efficaci
i messaggi poiché il pubblico è più attento
e concentrato, lontano dalle proprie problematiche
quotidiane e pronto a vivere dei momenti indimenticabili.
2. Produzioni teatrali: attività di sponsorship.
3. Grandi eventi musicali: POSTEPAYSOUND, Piazzola sul
brenta in collaborazione con Zed Live. MILANO SUMMER
FESTIVAL.
4. Parchi acquatici: collaboriamo con due importanti
strutture quali Le Caravelle di Ceriale
e Aqualand del Vasto.
5. Eventi aziendali e meeting.
This document discusses the epidote group of minerals. It begins with an introduction to epidote, noting that it is the most prominent member of its mineral group. The document then covers the chemical formula, composition, atomic structure, physical properties, optical properties, and crystallization of epidote and other group members. Identification properties and associations with other minerals are also summarized. In closing, the document reviews the paragenesis and references used.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Este documento define las Tecnologías de la Información y la Comunicación (TIC) y las Nuevas Tecnologías de la Información y la Comunicación (NTIC). Explica que las TIC agrupan elementos y técnicas para el tratamiento y transmisión de información a través de la informática, Internet y telecomunicaciones. Las NTIC son herramientas relacionadas con la transmisión, procesamiento y almacenamiento digital de información. También discute algunas ventajas y desventajas de las TIC.
NDWC Chennai 2013 - Canine Polulation Control Preventive Oncology & Human Car...Dogs Trust
1) Canine cancer is a leading cause of death in dogs, with estimates of 100-275 cases per 100,000 dog-years. Preventive oncology aims to reduce certain cancer types through early intervention and identifying risk factors.
2) Mammary gland tumors are the most common tumor in female dogs, with risk greatly reduced through spaying before the first heat cycle. Hormonal exposure, age, breed, and weight can also impact risk.
3) For stray animals with advanced cancer that cannot be confined for prolonged treatment, euthanasia is supported to protect other dogs from potential transmission and avoid future suffering. Quality of life and animal welfare should be top priorities in veterinary decision making.
Iowa State University's College of Veterinary Medicine student Amy Gansemer presents a case of Pyometra in a canine patient as seen at Iowa Veterinary Specialties.
Este documento describe diferentes tipos de analgésicos, incluyendo analgésicos no narcóticos como el acetaminofeno, antiinflamatorios no esteroideos como el ibuprofeno, corticosteroides, opioides y analgésicos neurológicos. También discute la evaluación y mantenimiento de analgésicos, así como contraindicaciones como el aumento del riesgo de accidentes cerebrovasculares y problemas digestivos. Finalmente, ofrece recomendaciones sobre el uso seguro y apropiado de analgésicos.
El documento describe los diferentes tipos de planos cinematográficos que puede utilizar una cámara para mostrar parte de la realidad al espectador, incluyendo planos generales, americanos, medios y primeros planos. La cámara puede seleccionar qué parte de la realidad mostrar para proporcionar contexto, detalles o intimidad dependiendo del plano utilizado.
The document introduces the Test Matrix Table (TMT) as a tool to capture domain expertise from various stakeholders and ensure reliable, repeatable, and traceable automated testing. The TMT decouples the test cases from the automation code by presenting test inputs and outputs in a table format that can be read by an automation architecture to execute the tests without needing to generate new code. This allows automated tests to be developed and validated more efficiently while incorporating requirements from different areas of expertise and maintaining consistency between manual and automated testing.
The document provides an overview of manual software testing concepts and processes. It discusses why testing is important, the different levels of testing (unit, integration, system acceptance), test planning including test cases and test data preparation, defect reporting, and test tracking and reporting. The software development lifecycle of requirements, design, coding, testing, release and maintenance is also summarized.
We propose and illustrate a complete test automation solution based on open source technologies, Fitnesse, Ruby and Watir. This system is web based, and enables a diverse set of project stakeholders to carry out automated testing from anywhere.
The document discusses principles of software testing including why testing is necessary, common testing terminology, and the testing process. It describes the testing process as having six key steps: 1) planning, 2) specification, 3) execution, 4) recording, 5) checking completion, and 6) planning at a more detailed level. It emphasizes prioritizing tests to address highest risks and outlines factors that influence how much testing is needed such as contractual requirements, industry standards, and risk levels.
The document provides an overview of performance testing and the JMeter load testing tool. It defines performance testing as testing to determine how a system performs under workload. The main types of performance testing are described as load/capacity testing, stress testing, volume testing, endurance/soak testing, and spike testing. Load testing is the simplest form and aims to understand system behavior under expected load. Bottlenecks can be identified through load testing. Stress testing finds a system's capacity limit. Volume testing checks efficiency processing large data amounts. Endurance testing checks withstanding load over long periods. Spike testing observes behavior under sudden load increases. JMeter is introduced as an open source load testing tool that can test various system types and has user
The document discusses various software testing and evaluation techniques used to ensure software solutions meet design specifications and are free from errors. It covers topics like unit testing, integration testing, system testing, black box and white box testing, test data generation, benchmarking, and quality assurance.
This document provides best practices for performance testing, including test planning, scripting, execution, and analysis. For test planning, it recommends identifying test cases and production data. For scripting, it recommends parameterizing values, using variables, and validating responses. For execution, it recommends monitoring systems, validating requirements are met, and backing up test runs. For analysis, it recommends analyzing logs for issues, validating processes return to normal, and checking for transactions exceeding response time limits.
The document summarizes key principles of software testing including:
1. Testing is necessary because software will contain faults due to human errors, and failures can be costly.
2. Exhaustive testing of all possible test cases is impractical. Risk-based prioritization is used to test the most important cases first.
3. The test process includes planning, specification, execution, recording results and checking completion criteria. Effective test cases are prioritized to efficiently find faults.
This document outlines a performance test plan for Sakai 2.5.0. It describes the objectives, approach, test types, metrics, goals, tools, and data preparation. The objectives are to validate Sakai meets minimum performance standards and test any new or changed tools. Tests include capacity, consistent load, and single function stress tests. Metrics like response time, CPU utilization, and errors will be measured. Goals include average response time under 2.5s and max under 30s, CPU under 75%, and 500 concurrent users supported. Silk Performer will be used to run tests against a Sakai/Tomcat/Oracle environment. Over 92,000 students and 1,557 instructors of data will be preloaded
This document discusses configuration testing and management. Configuration testing involves testing software and systems on different hardware and software combinations to check for compatibility issues. It is important because the number of possible configurations is usually too large to fully test. Configuration management is also important for tracking what is being tested and different versions. Hardware and software configuration testing both help ensure compatibility and identify issues across environments.
Apache JMeter is an open source tool for load and performance testing web applications. It can simulate heavy loads on servers and networks to test their strength and analyze performance under different load types. It allows users to test performance, load test, and stress test systems to find bottlenecks and establish baselines. JMeter can test many different server types including web servers, databases, FTP servers and more. It has a graphical user interface for building test plans with thread groups, samplers, timers, listeners and other elements to test performance.
- The document discusses using model-based testing to generate test cases for software installers. It describes two case studies where an extended finite state machine (EFSM) model was used to model installer software and generate test suites.
- The modeling approach worked well for installer test development, generating test suites that effectively found defects. The document discusses lessons learned and challenges that remain in applying model-based testing.
Testing software is essential to ensure it works properly and performs as intended. Various testing levels are described from unit testing of individual components to system testing of integrated modules. An overview of the software development lifecycle is provided from requirements gathering to maintenance, and key testing activities are outlined at each stage like test planning, case design, execution, and reporting. Standard documents involved in testing are also summarized such as test plans, cases, and bug reports to track issues.
End to-end root cause analysis minimize the time to incident resolutionCleo Filho
The document describes end-to-end root cause analysis capabilities in SAP Solution Manager. It provides an overview of tools for workload analysis, change analysis, exception analysis, and trace analysis that can isolate problems across systems and technologies. These tools aggregate and correlate performance data, changes, exceptions, and traces from different systems to help identify the root cause of issues. The tools have a common navigation paradigm and are designed to simplify problem resolution and reduce support costs.
The document discusses agile testing approaches and their benefits. Key points include:
1. Agile testing involves testing from the beginning of a project and continually throughout its lifecycle. This helps specify requirements in terms of tests and ensure 100% test coverage.
2. Keeping testers, developers, and customers in close communication helps eliminate errors caused by making incorrect assumptions.
3. Breaking projects into smaller iterations provides frequent feedback on the project's state. Many teams are successfully using agile testing to improve quality.
4. Adopting agile testing requires some training and workspace changes but yields advantages like collaborating to build in quality from the start.
Workshop BI/DWH AGILE TESTING SNS Bank EnglishMarcus Drost
The workshop focused on improving testing processes for data intensive environments like business intelligence and data warehousing systems. Participants discussed challenges with the traditional waterfall model and benefits of agile/Scrum approaches. Common problems identified included unstable test data, long test runtimes, lack of automation, and pressure on testers. Potential solutions proposed applying agile practices like continuous integration and regression testing, automating test data generation, deployments, and output validation to make testing more efficient and independent of production systems. The workshop aimed to provide insights into both problems with current testing approaches and actions that could be taken to address them.
This document provides instructions for creating a simple test in TestComplete. It describes adding the sample Orders application to the list of tested applications, planning a test to add a new order, recording user actions to perform that test, analyzing the recorded test, running the test, and analyzing the test results. The goal is to create an automated test that emulates user actions in the Orders application and verifies that a new order was added correctly.
This document discusses techniques for optimizing the performance of PeopleSoft applications. It covers tuning several aspects within a PeopleSoft environment, including server performance, web server performance, Tuxedo performance management, application performance, and database performance. Some key recommendations include implementing a methodology to monitor resource consumption without utilizing critical resources, ensuring load balancing strategies are sound, measuring historical patterns of server resource utilization, capturing key performance metrics for Tuxedo, and focusing on tuning high-resource consuming SQL statements and indexes.
The document discusses various roles and stages in the software development lifecycle, including:
1) The project manager directs and monitors all aspects of the project. Systems analysts understand client needs and convey them to developers. Programmers implement the solution.
2) Analysis involves understanding client requirements. Design develops a plan for the new system. Implementation converts the design into executable code.
3) Testing and documentation are also important stages to ensure quality and usability of the final software product.
1. Flex Test: When You Care Enough to Test
The VERY BEST
Matthew J. Bradley
Bradley Technologies
December 28, 2016
1. Introduction
After developing tests (particularly in the RF industry) for over 20 years, I have come to some
conclusions that are probably not too surprising:
1) Software is usually not re-useable from project to project. If it is re-useable,it usually is not easy.
2) Software often changes dramatically throughout the product cycle. This is because different
equipment and often different objectives are involved in each step.
3) Data is usually not going to be in the format that you want.
4) Changing instruments requires nothing short of an act of Congress. I have seen people struggle
with 40 year old spectrum analyzers because no one wants to touch the software that runs the test
system.
5) Everyone says they want traceability. Almost no one will wait for it before going into
production.
Finally, everyone says they want to solve these problems. But no one actually wants to pay for the
solution or take the time to solve it and so it remains an issue.
As a result, I decided to develop the test framework that would overcome these problems. I have
implemented it with a few customers and they have been extremely pleased. I am expanding the types of
tests that it performs as well as the instruments supported. I hope you will consider it to meet your
engineering and production needs.
Please note that development was performed primarily in LabVIEW.
2. User Interface
Figure 1 shows the engineering interface, ready to perform a harmonics test. Instrument parameters,test
conditions, and limits are all stored in a configuration file. As a result, the exact same test can be called
from another test executive (such as TestStand). Furthermore, by using multiple configuration files,
different conditions or limits can be tested with the same software.
2. Figure 1: Flex Test showing the engineering interface forthe Harmonics Test. Note that although the plot legend
indicates that the one half harmonic(and limit) will be tested, the actual harmonics testedwill be determinedby the
configuration file.
Tabs for additional tests (such as RF calibration, Gain Compression, S Parameters,and more) are also
shown. This enables the operator to switch between tests as needed for hardware validation and
verification, repair, or other tasks as needed.
3. It may be desirable, however, to have the ability to queue up severaltests and run them consecutively.
This can be done through the Multi Test tab, as shown in figure 2.
Figure 2: Not only does this allowthe operator to setupa list of tests to run, note that it also gives you the option to set a
warm up time before executing each test.
In addition, some tests simply take a long time to execute. Generally, this requires operators to frequently
check on systems to determine if the tests have completed, failed, or stopped executing. Failure to check
on these systems can lead to lower test system utilization. But, with Flex Test,this does not have to be a
problem. Text messages can be sent to groups of users to notify them when tests pass,fail, or abort. In
my experience, operators appreciate this feature most of all.
Naturally, the tests themselves re-use a great deal of code. Furthermore, they are highly structured. This
decreases development time dramatically. Typically, a new test can be built and ready to go in two days.
This is even true for custom tests that are specific to a single product. Existing tests (such as the
harmonics test shown below) require even less time to verify.
4. 3. TestConfiguration
Configuring the tests is straightforward. For example, configuration screens for the harmonics test are
shown in figures 3 and 4. Other tests have similar appearances. This is separated from the test interface
to give our clients more control over who can change configuration files.
Figure 3: Although the format of configuration files can be customizedas needed, we have triedto make them as general
as possible. For example, multiple frequency bands can be specifiedas shown and the Harmonics measurement cluster
(in the lower left) can have piecewise linearlimits.
5. Figure 4: This is the same as figure 3, but in this case we are showing that we can test for more than one harmonic at a
time. In figure 3, we showed the half harmonicwhereas in this case we are showing the first harmonic. There is no limit
to the number that can be tested.
4. Output Data Files
When I have shown this in the past, the next question that is normally asked concerns the output. There
are actually a number of files that are created,including:
Copies of all RF calibrations
The configuration file
A record of all instruments (including model numbers and serial numbers)
The raw data (in Excel compatible format)
A summary file (for some tests,also in Excel compatible format)
A PDF report (optional). This is typically distributed to customers.
All of these files are placed in the same folder which is specific to the UUT model number, serial number,
and the test time. The configuration file and calibration file are stored so that tests can be analyzed or
repeated even if the configuration changes or the system is re-calibrated.
6. A page from a sample report is shown in figure 5. Reports are frequently customized to individual client
and customer needs. We take special care to ensure that the reports are precisely what you want and
need.
Figure 5: One sample page of a test report. Reports are created from the data files, typically using VBA, and are
publishedto PDF format. Frequently, they include a mix of both plots and text data. We have found that our clients’
customers have been very pleasedwith both the level of detail and the clarity of presentation.
7. 5. Instrument Drivers
I have also taken special care in the architecture of the instrument drivers that are used by Flex Test. As
stated earlier, the inability to easily change instruments to meet new requirements can present major
obstacles to the success of software. Quite frankly, I have found that many of the available drivers are not
adequate. Although there are some exceptions, many do not include the functionality that I need or have
significant errors. For example, I know of one oscilloscope driver that sets both the time per division as
well as the time for the entire sweep within the same vi. Which takes precedence when they conflict?
More importantly, why would you have one vi for both?
As a result, I have abstracted the instrument architecture. As an example, let us consider a spectrum
analyzer. From the perspective of the harmonics test,we do not set the center frequency for a specific
model. Rather,we simply set it for a generic spectrum analyzer. The code determines which spectrum
analyzer is being used and sends the appropriate commands. Without dwelling on too many details, rest
assured that it is fast and can support multiple instruments of the same type in the same test (such as
power supplies).
There is always (or at least should be!) concern, however, when replacing instruments in terms of
capabilities. I once came across a test system where they had replaced a spectrum analyzer with a
different model but did not realize that the new model could not operate at the same resolution bandwidth
settings as the old. This caused enormous problems for them. As a result, our instrument drivers have a
“Verify” mode. When turned on, this will check each setting as it is made and confirm that the
instrument is configured properly. It will also check to see if there are any error conditions present on the
instrument. This can be turned on or off quite easily. I usually leave it on, but have turned it off if it
impacts test time.
Finally, software developers often find that the instruments they need are unavailable. RF
instrumentation can be quite expensive and the equipment may be needed elsewhere. Therefore,our
instrument drivers have a “Live” mode option. When turned on, commands and queries will be sent to
the instruments. When turned off, they are not – but work can continue for the rest of the test. This can
be set for individual instruments or for all instruments in a system.
6. Conclusion
Not surprisingly, there are more details than I could discuss in this description. Some would be technical
in nature whereas others would be financial.
I would appreciate hearing from you. In particular, I am interested in:
Which instruments do you need supported?
What tests would you like to see?
What other features would you want to include?
Please feelfree to send them to me at mbradley@brad-tech.com or call me at (707) 837-2893.