How to write effective test cases
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Test cases are used to test software and ensure it satisfies requirements. A test case should have a unique name, summary, test steps, expected results, and actual results. It must be structured, with no more than 15 steps, and test a specific requirement or functionality. The test environment and data must match production to ensure accurate testing. Quality test cases are accurate, economical, repeatable, appropriate, and traceable.
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Test case development presentation done by Hrushikesh Wakhle. Importance of Test Cases, How and Why to develop Test cases.
Test Case Naming 02
This document discusses test case naming conventions and strategies. It argues that test cases should be named after the product they test rather than the requirements or project, since those may change over time. The naming should follow a hierarchy that indicates the element being tested, such as the menu, group, icon, and option. This provides context and helps identify what is being tested. Well-named test cases can guide understanding of the system without needing additional documentation. The document provides examples of test case names for Microsoft PowerPoint and Google applications that follow this recommended hierarchical convention.
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The document discusses various techniques for white box testing including static testing and structural testing. Static testing involves techniques like desk checking, code walkthroughs, and code inspections that do not require executing the code. Structural testing techniques execute the code and include unit testing, code coverage testing, and complexity testing. Code coverage criteria like statement coverage and branch coverage are discussed as ways to measure how thoroughly the code has been tested. Control flow graphs are presented as a way to represent program logic and control flow.
Sample test-plan-template
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.
Salient tips for writing effective test cases
Test cases play an important role in software testing by verifying that applications work as intended. An effective test case includes steps like naming the test, describing what is being tested, listing assumptions and prerequisites, providing input test data, covering all verification points, detailing expected results, ensuring the test can be reused, and specifying post conditions. Writing thorough test cases is key to properly testing software.
Best Practices for Test Case Writing
This document provides guidance on how to write effective test cases. It discusses test case components like objectives, preconditions, steps, and expected results. It emphasizes making test cases clear, concise, reusable, and up-to-date to reflect any application changes. The document also highlights techniques like breaking tests into focused subsets and attaching relevant artifacts.
Best Practices for Writing and Organizing QA Tests
This document provides best practices for writing and organizing QA tests. It discusses test plans, test suites, test cases, and different types of testing. Guidelines are provided for writing test plans, test suites, and test cases. Tips are given for writing effective test cases, including naming conventions, descriptions, assumptions, test data, and expected results. Different levels of testing are also outlined.
Software Testing Foundations Part 4 - Black Box Testing
The document discusses various black box testing techniques including:
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- Cause-effect graphing and decision tables which identify test cases based on input-output dependencies
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Test case development
Test case development presentation done by Hrushikesh Wakhle. Importance of Test Cases, How and Why to develop Test cases.
Test Case Naming 02
This document discusses test case naming conventions and strategies. It argues that test cases should be named after the product they test rather than the requirements or project, since those may change over time. The naming should follow a hierarchy that indicates the element being tested, such as the menu, group, icon, and option. This provides context and helps identify what is being tested. Well-named test cases can guide understanding of the system without needing additional documentation. The document provides examples of test case names for Microsoft PowerPoint and Google applications that follow this recommended hierarchical convention.
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This document provides best practices for writing and organizing QA tests. It discusses test plans, test suites, test cases, and different types of testing. Guidelines are provided for writing test plans, test suites, and test cases. Tips are given for writing effective test cases, including naming conventions, descriptions, assumptions, test data, and expected results. Different levels of testing are also outlined.
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- Boundary value analysis which checks values at the boundaries of equivalence classes
- State transition testing which designs tests based on a system's state diagram
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Test cases
The document discusses test case structure and specifications. It defines a test case as a set of inputs, expected results, and execution conditions used to test a specific program path or requirement. A test case specification is a document that specifies test cases by outlining objectives, inputs, test actions, expected results, and preconditions. It also provides guidelines for writing effective test cases, such as keeping them short, using simple language, and providing test data and notes when possible. The overall goal is to write test cases early based on design to allow for early bug detection and efficient testing once code is completed.
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If quality control tests fail, procedures include checking equipment and reagents, retesting samples, and investigating any new reagents. The laboratory supervisor oversees quality but does not have formal training for the role. Examples of quality control variability or procedures from the laboratory are offered.
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The document discusses unit testing, describing it as an automated piece of code that invokes and checks the behavior of a method, providing benefits like proving code works, catching bugs early, and improving design without breaking code. It provides best practices for unit testing like making tests independent and focused on testing one thing, using Arrange-Act-Assert structure, and avoiding dependencies on external resources. The document also distinguishes unit tests from acceptance tests, noting unit tests focus on functionality at a method level while acceptance tests verify requirements across the full system.
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Berikut adalah penjelasan apa itu black box testing untuk software.
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Ade Tiara Putri
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Universitas Islam Negeri Sultan Syarif Kasim Riau
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This document discusses different techniques for test design. It covers:
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2. Test analysis, which identifies test conditions by looking at the test basis such as requirements or code.
3. Test design, which specifies exact test cases based on the identified test conditions.
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Test case techniques
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Blackbox
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Testing Fundamentals
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.
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Countries’ presentation on internal quality control: Indonesia
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The document discusses characteristics of good requirements and terms used in requirements documentation. It provides descriptions of understandability, unambiguity, testability, atomicity, correctness, necessity, consistency, non-redundancy and prioritization. It also outlines common requirement terms like "shall", "should", "will", and "may" and verification methods like inspection, demonstration, testing and analysis. Non-functional requirements are discussed as user stories and a requirements cheat sheet outlines a FURPS+ classification system.
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Berikut adalah penjelasan apa itu black box testing untuk software.
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Ade Tiara Putri
Program Studi S1 Sistem Informasi
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Test design techniques
This document discusses different techniques for test design. It covers:
1. The formality of test documentation, from very formal with extensive documentation to very informal with no documentation.
2. Test analysis, which identifies test conditions by looking at the test basis such as requirements or code.
3. Test design, which specifies exact test cases based on the identified test conditions.
4. Test implementation, which groups test cases and specifies the steps to execute each test.
It then categorizes test design techniques as either static techniques, specification-based/black-box techniques, or structure-based/white-box techniques. Static techniques do not execute code, while the other two are dynamic techniques.
Test case techniques
This is the presentation describing different techniques used to write test cases for software testing. You can have overview with detailed example for test case techniques. After reading this, You'll able to assume which technique can be more useful to you software testing.
Blackbox
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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.
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Testing is a process used to identify errors, ensure quality, and verify that a system meets its requirements. It involves executing a program or system to evaluate its attributes and determine if it functions as intended. There are various types of testing such as unit testing, integration testing, system testing, and acceptance testing. An effective test approach considers objectives, activities, resources, and methods to thoroughly test a system. Requirements analysis is also important to ensure testing covers all necessary functionality.
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Test design
Test planning is the process of defining and documenting the strategy to verify that a product meets its requirements. A test plan should be created by quality management and answer questions like how, who, what, how long, and test coverage level required. According to IEEE standards, a test plan includes items like test plan identifier, introduction, features to be tested, approach, pass/fail criteria, responsibilities, and schedule. A test design specification describes features to be tested and specifies test scenarios/cases to provide software testing. Test design techniques include static techniques like reviews and dynamic techniques like structure-based, experience-based, and specification-based approaches. Choosing the right technique depends on factors like tester knowledge, expected defects, test objectives,
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Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Vitthal Shirke Java Microservices Resume.pdf
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
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openEuler Case Study - The Journey to Supply Chain Security
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https://2024.springio.net/sessions/automated-software-refactoring-with-openrewrite-and-generative-ai/
Why Choose Odoo 17 Community & How it differs from Odoo 17 Enterprise Edition
Why Choose Odoo 17 Community & How it differs from Odoo 17 Enterprise EditionEnvertis Software Solutions
Odoo ERP software
Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.E-commerce Development Services- Hornet 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.
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Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
Artificia Intellicence and XPath Extension Functions
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
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.
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No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
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We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Essentials of Automations: The Art of Triggers and Actions in FME
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Microservice Teams - How the cloud changes the way we work
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.
KuberTENes Birthday Bash Guadalajara - Introducción a Argo CD
Charla impartida en el evento de "KuberTENes Birthday Bash Guadalajara" para celebrar el 10mo. aniversario de Kubernetes #kuberTENes #celebr8k8s #k8s
Enterprise Resource Planning System in Telangana
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
OpenMetadata Community Meeting - 5th June 2024
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Revolutionizing Visual Effects Mastering AI Face Swaps.pdf
The quest for the best AI face swap solution is marked by an amalgamation of technological prowess and artistic finesse, where cutting-edge algorithms seamlessly replace faces in images or videos with striking realism. Leveraging advanced deep learning techniques, the best AI face swap tools meticulously analyze facial features, lighting conditions, and expressions to execute flawless transformations, ensuring natural-looking results that blur the line between reality and illusion, captivating users with their ingenuity and sophistication.
Web:- https://undressbaby.com/
ALGIT - Assembly Line for Green IT - Numbers, Data, Facts
Presentation from Ghazal Aakel and Eric Jochum at the GSD Community Stage Meetup on June 6th, 2024
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How to write effective test cases
- 1. Test Case Creation What is a Test Case? Definition: A set of conditions or variables under which a QA will determine whether a system under test satisfies requirements or works correctly. How the application is to be tested Miniature experiments Structure and testability The test case MUST follow these rules Should be structured Has actions and expected results Does not exceed 15 steps Has a stated purpose that includes what is being tested Has a description of the method of the testing (black box, grey box) Specifies setup information - environment, data, secure access Structure Test Suite ID The ID of the test suite to which this test case belongs. Test Case ID The ID of the test case. Test Case Name The description of what the test case does. Must be unique and self - explanatory Test Case Summary The summary / objective of the test case. Related Requirement The link of the requirement or of the bug this test case relates/traces to. Prerequisites Any prerequisites or preconditions that must be fulfilled prior to executing the test. Test Procedure/ Test Step Step-by-step procedure to execute the test. Detail explanation of an action that needs to be Test Data The test data, or links to the test data, that are to be used while conducting the test. Expected Result The expected result of the test. Actual Result The actual result of the test; to be filled after executing the test. Status Pass or Fail. Other statuses can be ‘Not Executed’ if testing is not performed and ‘Blocked’ if
- 2. Remarks Any comments on the test case or test execution. Created By The name of the author of the test case. Date of Creation The date of creation of the test case. Executed By The name of the person who executed the test. Date of Execution The date of execution of the test. Test Environment The environment (Hardware/Software/Network) in which the test was executed. Area Areas depend on the process used to support your project within the team. According to the You add areas to support to support your team’s trace-ability. Use areas to represent logical feature Iteration Group into sprints, milestones or other event-specific or time- related period. You define as m Status of automation Status that reflects the state of the TC automation Test Case Size The test case describes in details what has to be done. Too long test cases are not economica exceed 15 steps. Has Purpose The test case must always cover a requirement/bug/feature/functionality Method of testing Black box Behavioral testing, is a method in which the internal implementation of the item being tested is not known. Tests can be functional and non- functional. This method attempts to find errors in the following categories: Incorrect or missing functions Interface errors Errors in data structures or external database access Behavior or performance errors Initialization and termination errors Grey box The tester has limited knowledge of the internal details of the item being tested. This method attempts to find integration errors Setup information - environment, data, prerequisite tests, security access As to execute a test case, test data is a must. Environment in which the test is performed is also required because it affects the test results. Test data and test environment are tightly connected. The test environment must always correspond with the production environment. The test data must always correspond with the real data.
- 3. Quality Attributes Accurate - tests what the description says it will test Economical - has only the steps needed for its purpose Repeatable, self-standing - same results no matter who tests it. Appropriate - for both immediate and future testers Traceable -linked to a requirement, pbi, bug Test Case Considerations Environment on which the test is run must be suitable. Test data and test environment are tightly connected. The test environment must always correspond with the production environment. The test data must always correspond with the real data. Test data should be kept as up to date with the live databases as possible.