Month 2: Advanced Testing Techniques & Tools (days 31–60) (3) - Overview 80
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Month 2: Advanced Testing Techniques & Tools (Days 31–60)

Month 2: Advanced Testing Techniques & Tools (Days 31–60)

Practice

Interactive Audio Lesson

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Smoke, Sanity, Regression Testing

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Teacher
Teacher Instructor

Today, we are discussing three key types of testing: Smoke, Sanity, and Regression Testing. Let’s start with Smoke Testing. Can anyone tell me what it is?

Student 1
Student 1

Is Smoke Testing about checking whether the main functionalities of the application are working?

Teacher
Teacher Instructor

Exactly! Smoke Testing acts like a health check for the application to ensure critical functions are operable. Now, what about Sanity Testing?

Student 2
Student 2

Sanity Testing is more focused, right? It checks if specific bugs are fixed after changes.

Teacher
Teacher Instructor

Correct! It validates particular functionalities after changes to confirm the fixes work. Lastly, who can explain Regression Testing?

Student 3
Student 3

Regression Testing ensures that new changes don’t negatively impact existing functionalities.

Teacher
Teacher Instructor

Well done! Remember the acronym 'SRR' for Smoke, Regression, and Sanity Testing. It can help you recall their order of execution in many scenarios. Any questions?

Student 4
Student 4

Can you give an example of a situation where we would use each type of testing?

Teacher
Teacher Instructor

Certainly! In a banking app—Smoke would check if a user can log in, Sanity would verify if the login bug fix indeed works, and Regression would ensure the login feature still works after a UI update. Great participation today!

Integration and System Testing

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Teacher
Teacher Instructor

Now, let's talk about Integration Testing. What does it focus on?

Student 1
Student 1

It tests interactions between different modules, right?

Teacher
Teacher Instructor

Right! It ensures modules work correctly when they communicate. And how about System Testing? Anyone?

Student 2
Student 2

System Testing evaluates the complete system to ensure it meets the requirements!

Teacher
Teacher Instructor

Absolutely! Integration is like checking the connections, while System Testing is assessing the whole assembly. Let's do a quick exercise: can anyone think of an example of Integration Testing in action?

Student 3
Student 3

Maybe testing how the payment module interacts with the order management module?

Teacher
Teacher Instructor

Great example! Always remember: integration is about interaction, and system is about the whole. Let’s recap: integration checks connections and system checks overall functionality. Any questions?

Student 4
Student 4

What kind of defects should we look for specifically during Integration Testing?

Teacher
Teacher Instructor

Good question! Look for data inconsistency, errors occurring between module functions, and other communication failures. Excellent engagement today!

User Acceptance Testing (UAT), Alpha and Beta Testing

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Teacher
Teacher Instructor

Let’s explore User Acceptance Testing or UAT. Why is it crucial?

Student 1
Student 1

Because it helps determine if the software meets the user's needs before full deployment.

Teacher
Teacher Instructor

Exactly! UAT is confirmation from actual users. Now, how does Alpha Testing differ from Beta Testing?

Student 2
Student 2

Alpha Testing is done in a controlled environment, whereas Beta Testing is out in the real world.

Teacher
Teacher Instructor

Well articulated! Alpha tests internally to catch issues before wider release, while Beta tests with actual users to refine based on real feedback. Let’s use a mnemonic: A for Alpha is for 'Apt' environment and B for Beta is for 'Brave' spending time in the actual user landscape. Does that help?

Student 3
Student 3

Yes, it is easy to remember! Are there specific criteria for selecting beta testers?

Teacher
Teacher Instructor

Absolutely! Select a representative sample of users and ensure they are willing to provide feedback. Great discussion today! Remember, user validation is the goal of UAT, while Alpha and Beta are stages of that engagement.

Static Testing – Reviews and Walkthroughs

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Teacher
Teacher Instructor

Next, we’ll delve into Static Testing, which includes Reviews and Walkthroughs. Why do you think we do this?

Student 1
Student 1

To catch issues early before actual testing?

Teacher
Teacher Instructor

Right on! Early detection saves time and reduces costs. Can anyone differentiate between Reviews and Walkthroughs?

Student 2
Student 2

Reviews are more formal, while Walkthroughs are more of a collaborative, informal inspection.

Teacher
Teacher Instructor

Correct! Reviews require specific participants and documents, while Walkthroughs encourage group discussions. Here’s a mnemonic: W for Walkthrough should make you think of 'Wander' through the process together actively. Any thoughts on situations where you might prefer one method over the other?

Student 3
Student 3

I believe Walkthroughs would be better for brainstorming new ideas, whereas Reviews are better for policy enforcement.

Teacher
Teacher Instructor

Exactly! Choose according to the needs: idea exploration or strict compliance. Fantastic session!

Performance & Security Testing Basics

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Teacher
Teacher Instructor

Let’s wrap up with Performance and Security Testing. First, what distinguishes Load Testing from Stress Testing?

Student 1
Student 1

Load Testing checks how the app performs under expected conditions, while Stress Testing looks at its breaking point.

Teacher
Teacher Instructor

Exactly! Load vs. Stress can be remembered with the phrase 'Load is normal, Stress is extreme.' What tools can we use for Performance Testing?

Student 2
Student 2

JMeter is one of them, right?

Teacher
Teacher Instructor

Yes, JMeter is great for simulating user loads. What about Security Testing? What are the main concerns?

Student 3
Student 3

Identifying vulnerabilities like SQL injection or CSRF?

Teacher
Teacher Instructor

Correct! Understanding the OWASP Top 10 is vital for Security Testing. Here’s a rhyme to help: 'Guard against SQL, XSS too, CSRF's unwelcome; test thoroughly!' Any questions on how to implement these tests?

Student 4
Student 4

How often should we conduct Performance Testing?

Teacher
Teacher Instructor

Great question! Regular testing is essential, especially before major releases or updates. Fantastic interaction today, everyone!

Introduction & Overview

Read summaries of the section's main ideas at different levels of detail.

Quick Overview

This section covers advanced testing techniques and tools, providing learners with practical knowledge needed for effective software testing.

Standard

In this section, students explore advanced testing methodologies, including smoke, regression, integration, and security testing, as well as learn to use crucial tools like JIRA and JMeter. The content is designed to build skills essential for conducting thorough testing and managing test cases effectively.

Detailed

Month 2: Advanced Testing Techniques & Tools (Days 31–60)

In this section, we delve into advanced testing techniques and tools essential for quality assurance professionals. This month is structured into four weeks, each focusing on specific aspects of testing:

Week 5: Advanced Testing Concepts

  • Smoke, Sanity, and Regression Testing: Here, students learn the differences between these testing types:
  • Smoke Testing checks major application functionalities.
  • Sanity Testing validates specific functionalities after changes.
  • Regression Testing ensures that new features do not disrupt existing functionalities.
  • Integration and System Testing: Integration Testing focuses on how different modules work together, while System Testing tests the entire system as a whole. Students will learn how to write effective test cases for these categories.
  • User Acceptance Testing (UAT), Alpha, and Beta Testing: UAT is performed by end-users to ensure the product meets their needs. Alpha testing occurs in a controlled environment, while Beta testing takes place in real-world contexts.
  • Exploratory and Ad-hoc Testing: Students will practice testing without predefined cases using these informal testing methods.

Week 6: Test Design & Static Testing

  • Static Testing – Reviews and Walkthroughs: This emphasizes reviewing documents early on to identify issues.
  • Decision Table Testing & State Transition Testing: Both techniques allow for systematic testing of conditions and outcomes.
  • Use Case Testing & User Story Mapping: Techniques that help tailor tests based on user actions.
  • Risk-Based Testing & Traceability Matrix: Prioritizing tests based on risk helps manage resources effectively.

Week 7: Test Management Tools

  • JIRA for Test Case & Bug Management: Students gain hands-on experience with tools that facilitate tracking in the testing lifecycle.
  • Introduction to other Test Management Tools: Overview of TestRail, Zephyr, and qTest introduces students to various tools used in QA.
  • Defect Tracking Best Practices: Learning to log defects clearly and effectively.

Week 8: Performance & Security Testing Basics

  • Introduction to Performance Testing: Students will learn to gauge how a system performs under load and stress.
  • Tools Overview – JMeter Basics: JMeter is introduced as a key tool for simulating performance tests.
  • Introduction to Security Testing Concepts: Covers essential security testing principles and familiarizes students with major vulnerabilities (OWASP Top 10) that they must test for.

By the end of this month, students will be equipped with vital knowledge to execute advanced testing techniques and effectively utilize testing tools.

Audio Book

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Week 5: Advanced Testing Concepts

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3.1 Week 5: Advanced Testing Concepts

3.1.1 Day 21: Smoke, Sanity, Regression Testing
• Smoke Testing: Verifies major features work.
• Sanity Testing: Checks specific fixes.
• Regression Testing: Ensures new changes don’t break existing functionality.
Example: Smoke test: Verify login works. Regression test: Re-test login after a new feature is added.
Exercise:
1. List three features for a smoke test in a banking app.
2. Design a regression test case.

Detailed Explanation

In this chunk, we discuss three important types of testing: smoke testing, sanity testing, and regression testing.

  • Smoke Testing: This is a preliminary test to check if the most crucial features of a product are working. Think of it as a 'health check' for software. For instance, if you're testing a banking app, a smoke test might check if you can log in and view your balance.
  • Sanity Testing: This involves testing specific functionalities after bug fixes to ensure that they work as intended. An example might be to check if the login button functions properly after a fix was implemented.
  • Regression Testing: This is done to confirm that recent changes haven’t negatively impacted existing features. For example, after adding a new feature like account transfers, regression testing would involve executing previous tests to confirm that the login functionality still works as expected.

Each of these testing types plays a critical role in ensuring the software maintains quality throughout its development.

Examples & Analogies

Imagine you're running a restaurant. Smoke testing would be like checking to see if the kitchen is functioning before a busy night – can the cook make a basic burger? Sanity testing would involve checking if a recently repaired grill heats properly for cooking. Regression testing is similar to making sure all your favorite dishes still taste great after adding a new recipe to the menu.

Integration Testing and System Testing

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3.1.2 Day 22: Integration Testing, System Testing
• Integration Testing: Tests interactions between modules.
• System Testing: Tests the entire system end-to-end.
Example: Integration: Test API connection between payment and order modules.
Exercise:
1. Write an integration test case for a shopping cart.
2. Describe a system testing scenario.

Detailed Explanation

This chunk focuses on two critical testing types: integration testing and system testing.

  • Integration Testing: This type of testing verifies that different modules or services within an application function correctly when combined. For instance, you might check that the 'payments' module correctly communicates with the 'order' module to ensure that products can be purchased seamlessly.
  • System Testing: Unlike integration testing, which focuses on interactions between modules, system testing evaluates the complete system's compliance with specified requirements. An example would involve testing the entire e-commerce site, ensuring that users can browse products, add items to their cart and complete purchases without issues.

Examples & Analogies

Think of integration testing like a series of ingredient checks before making a cake – ensuring that all components (flour, sugar, eggs, etc.) mix well together. System testing is like tasting the finished cake to ensure it meets the recipe's expectations for flavor and texture.

UAT, Alpha, and Beta Testing

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3.1.3 Day 23: UAT, Alpha & Beta Testing
• UAT: Users validate the system meets needs.
• Alpha/Beta Testing: Early testing in controlled (Alpha) or real-world (Beta) environments.
Exercise:
1. Plan a UAT session for a travel app.
2. List two differences between Alpha and Beta testing.

Detailed Explanation

In this section, we take a closer look at User Acceptance Testing (UAT), Alpha testing, and Beta testing.

  • UAT (User Acceptance Testing): Conducted at the end of the development process, UAT involves real users testing the software to ensure it meets their needs and requirements. This is crucial because the users ultimately decide if the software is ready for general use.
  • Alpha Testing: This is an internal test conducted by developers or quality assurance experts in a controlled environment before the product is released to a select group of users for real-world testing.
  • Beta Testing: This is the phase where a product is released to a limited audience outside of the company for testing in a real-world scenario. Feedback from beta tests can help identify issues that weren't discovered during earlier tests.

Examples & Analogies

Imagine you're a chef preparing a new dish for public launch. UAT is like inviting friends to taste it and share their thoughts, ensuring it meets their culinary expectations. Alpha testing is having your restaurant staff test the dish behind the scenes, while Beta testing involves letting a few select patrons try it out during a quiet dinner service to gather reactions before the official menu launch.

Exploratory and Ad-hoc Testing

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3.1.4 Day 24: Exploratory Testing & Ad-hoc Testing
• Exploratory Testing: Tests without predefined cases, guided by intuition.
• Ad-hoc Testing: Informal testing to find defects.
Exercise:
1. Perform exploratory testing on a sample app and log findings.
2. Explain when ad-hoc testing is useful.

Detailed Explanation

This chunk covers exploratory testing and ad-hoc testing, both of which are less structured than traditional testing methods.

  • Exploratory Testing: In this testing approach, testers actively explore the functionalities of the application without predefined tests. They rely on their intuition and experience, which can often uncover issues that standard testing may miss.
  • Ad-hoc Testing: Similar to exploratory testing, but typically less formal and unplanned. It's often done without any documentation, focusing on finding defects based on the tester's experience and instincts.

Examples & Analogies

Think of exploratory testing like wandering through a new city without a map. You might stumble upon cool cafes and hidden art galleries that tourists miss, while ad-hoc testing would be casually trying out different dishes at a buffet to see which one has a surprise flavor twist.

Mini Project: Regression Suite for a Web App

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3.1.5 Day 25: Mini Project – Regression Suite for a Web App
Students create a regression test suite for a web app.
Exercise:
1. Write five regression test cases.
2. Execute the suite and report results.

Detailed Explanation

In this chunk, students are tasked with creating a regression test suite focused on a web application.

  • Regression Test Suite: A set of tests designed to ensure that recent code changes haven't adversely affected existing functionality.
    Students will write five test cases that cover key functionalities of the web app. After writing the test cases, they will execute them to confirm that everything works as intended and report any findings.

Examples & Analogies

Developing a regression test suite is like a gardener checking all the plants in their garden after a storm to ensure none of them were damaged. You review specific areas (key functionalities) to ensure they are still thriving after recent changes like adding new plants (features), making sure everything is in good order before the next season.

Week 6: Test Design & Static Testing

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3.2 Week 6: Test Design & Static Testing

3.2.1 Day 26: Static Testing – Reviews, Walkthroughs
Static testing involves reviewing documents (e.g., requirements, code) to find issues early.
Example: A QA reviews a requirements document to identify ambiguities.
Exercise:
1. Review a sample requirements document and list three issues.
2. Describe the difference between a review and a walkthrough.

Detailed Explanation

In this chunk, we explore static testing methods like reviews and walkthroughs. Static testing allows the identification of potential issues before executing code.

  • Static Testing: This method focuses on evaluating documents such as requirements or code for problems without executing the program. For instance, QA might be tasked with checking a requirements document for missing or unclear specifications.
  • Reviews vs. Walkthroughs: A review is a formal process where documents are evaluated by several stakeholders, while a walkthrough is a more informal process where a single person explains their work to others to gather feedback.

Examples & Analogies

Static testing can be likened to proofreading an essay before submitting it. A review is like sharing the essay with a friend for feedback, ensuring that the message is clear and well-structured. In contrast, a walkthrough is akin to explaining your ideas to the class to gauge their understanding and get their thoughts on your topic.

Test Design Techniques

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3.2.2 Day 27: Decision Table Testing & State Transition Testing
• Decision Table Testing: Maps conditions to outcomes.
• State Transition Testing: Tests system state changes.
Example: Decision Table for login: Conditions (Valid/Invalid credentials) Outcomes (Success/Fail).
Exercise:
1. Create a decision table for a discount system.
2. Draw a state transition diagram for a ticket booking system.

Detailed Explanation

This section discusses two essential test design techniques: decision table testing and state transition testing.

  • Decision Table Testing: This is a testing technique used to identify and represent different input conditions and the corresponding output results in a tabular format. For instance, if you have a login system, you could create a decision table that includes valid and invalid credentials and outlines the expected outcomes.
  • State Transition Testing: This focuses on testing the transitions between different states of the system. For example, a ticket booking system might transition from a 'available' state to 'booked', and testing would ensure that the system behaves correctly during each transition.

Examples & Analogies

Decision table testing is similar to creating a flowchart for a game where different paths lead to varying outcomes based on the player's choices. State transition testing is like ensuring that a traffic light correctly changes from green to yellow to red and that the timing for each light is appropriately tested to avoid accidents.

Use Case Testing & User Story Mapping

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3.2.3 Day 28: Use Case Testing & User Story Mapping
• Use Case Testing: Tests based on use cases.
• User Story Mapping: Visualizes user journeys.
Exercise:
1. Write a test case based on a use case.
2. Create a user story map for a fitness app.

Detailed Explanation

In this chunk, we delve into use case testing and user story mapping, which aid in understanding user interactions with the system.

  • Use Case Testing: This method focuses on validating the behavior of a system as it relates to user interactions in specific scenarios. For instance, a test case might focus on how a user interacts with a 'forgot password' feature in an app.
  • User Story Mapping: This technique visually represents the steps a user takes to achieve a goal within the application. It helps teams understand user needs and prioritize features based on user journeys.

Examples & Analogies

Consider use case testing as creating a detailed recipe for a dish where every step has to be perfect to achieve the desired taste. User story mapping is like planning the layout of a kitchen where each ingredient and tool is placed in the order they will be used, ensuring a smooth cooking experience.

Risk-Based Testing & Traceability Matrix

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3.2.4 Day 29: Risk-Based Testing & Traceability Matrix
• Risk-Based Testing: Focuses on high-risk areas.
• Traceability Matrix: Links requirements to test cases.
Requirement ID Description Test Case ID
Example Traceability Matrix:
R1 User login TC001
Exercise:
1. Identify three risks for a payment system and prioritize tests.
2. Create a traceability matrix for five requirements.

Detailed Explanation

This section covers risk-based testing strategies and the traceability matrix, which are essential for effective test planning.

  • Risk-Based Testing: This approach prioritizes testing efforts based on the risks associated with different functionalities. For example, in a payment system, functions that handle financial transactions might be tested more rigorously because they carry a higher risk of failure.
  • Traceability Matrix: This is a tool used to trace requirements to their corresponding test cases. For instance, if you have several user login requirements, each would be linked to specific tests that validate those requirements.

Examples & Analogies

Risk-based testing can be likened to an emergency response plan where areas with higher risks (like fire or flooding) receive more resources and attention. Meanwhile, the traceability matrix acts like a GPS that aligns each physical address (requirements) with a corresponding map (test cases), ensuring no area is left unvisited during audits.

Test Design Techniques Project

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3.2.5 Day 30: Test Design Techniques Project
Students apply test design techniques to a project.
Exercise:
1. Create test cases using decision tables and state transitions.
2. Include a traceability matrix.

Detailed Explanation

In this final chunk of Week 6, students are encouraged to apply various test design techniques in a practical setting.

  • Test Design Techniques Project: In this project, students will utilize what they've learned about decision tables, state transitions, and traceability matrices to create comprehensive test cases for a hypothetical application.
    This project not only consolidates knowledge but also promotes hands-on experience, which is crucial for real-world QA roles.

Examples & Analogies

This project can be compared to a student compiling a portfolio after a semester. They gather all their best work, showcasing the techniques they’ve learned. Just as a portfolio impresses potential employers, the projects created here will prepare students for practical applications of test design methods in their careers.

Week 7: Test Management Tools

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3.3 Week 7: Test Management Tools

3.3.1 Day 31: JIRA for Test Case & Bug Management
JIRA tracks test cases, bugs, and workflows.
Example: A QA creates a JIRA ticket for a bug with steps to reproduce.
Exercise:
1. Create a JIRA test case ticket.
2. Log a bug in JIRA with all required fields.

Detailed Explanation

This chunk introduces JIRA, a popular tool for test management in software development.

  • JIRA: JIRA is primarily used for tracking project progress by managing tasks, bugs, and test cases throughout the software development lifecycle. It allows QA teams to document bugs thoroughly, including essential details like steps to reproduce, descriptions, and expected results, ensuring developers can understand and fix issues effectively.

Examples & Analogies

Using JIRA is similar to a project manager using a spreadsheet to keep track of tasks. Just as the spreadsheet lists out what’s done and what needs attention, JIRA provides an organized platform to make sure every bug and test case is properly addressed and tracked, ensuring nothing falls through the cracks.

Introduction to TestRail / Zephyr / qTest

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3.3.2 Day 32: Introduction to TestRail / Zephyr / qTest
These tools manage test cases, executions, and reports.
Exercise:
1. List three features of TestRail.
2. Compare TestRail and Zephyr for QA tasks.

Detailed Explanation

In this section, we discuss tools that are specifically designed for test management.

  • TestRail, Zephyr, and qTest: These are advanced tools to manage the entirety of testing processes. They provide functionalities to formulate test cases, manage test execution, track results, and generate comprehensive reports for analysis. Using such specialized tools benefits QA teams by promoting efficiency and organization throughout the testing lifecycle.

Examples & Analogies

Think of these tools as a library catalog system. Just as a catalog helps you find books efficiently and manage how long you can borrow them, TestRail and similar tools help QA teams locate specific test cases and track their status and outcomes, ensuring streamlined workflows and accountability.

Hands-on with Test Execution & Reporting

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3.3.3 Day 33: Hands-on with Test Execution & Reporting
Students execute test cases and generate reports using a test management tool.
Exercise:
1. Execute five test cases in TestRail and log results.
2. Generate a test execution report.

Detailed Explanation

In this hands-on module, students gain practical experience in test execution and reporting using a test management tool such as TestRail.

  • Executing Test Cases: Execution involves running the previously defined test cases in the application to check if they pass or fail. The outcomes are then logged for analysis.
  • Generating Reports: After execution, students will create reports that summarize the results of the tests, providing insights into the application's quality and areas needing attention.

Examples & Analogies

Imagine you're monitoring a race event where you time runners and record their results. After the race, you compile those times into a report. Similarly, executing test cases and generating reports provides structure and clarity on how well software is performing, making it easy to communicate results to stakeholders.

Defect Tracking Best Practices

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3.3.4 Day 34: Defect Tracking Best Practices
Best practices include clear descriptions, screenshots, and prioritization.
Exercise:
1. Write a defect report following best practices.
2. Review a peer’s defect report and suggest improvements.

Detailed Explanation

This chunk focuses on the essential practices for effective defect tracking.

  • Defect Tracking Best Practices: For effective tracking of defects, it’s crucial to provide as much detail as possible, including clear descriptions of what the issue is, steps to reproduce it, expected versus actual results, and adding attachments such as screenshots. Prioritization of defects based on their severity and impact on the project is also important for which issues need immediate attention versus those that can wait.

Examples & Analogies

Defect tracking is like an accident report in a workplace; the clearer and more detailed the report, the easier it is for safety teams to resolve the issue. A good accident report contains who was involved, what happened, and visual evidence – similarly, effective defect reports ensure developers understand what needs to be done to fix issues promptly.

Mini Project – Manage a Test Cycle using JIRA

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3.3.5 Day 35: Mini Project – Manage a Test Cycle using JIRA
Students manage a test cycle in JIRA, including test cases and defects.
Exercise:
1. Create a test cycle with five test cases in JIRA.
2. Log two defects and track their lifecycle.

Detailed Explanation

In this project, students apply their knowledge of JIRA to manage a complete test cycle.

  • Managing a Test Cycle: Students will create a new test cycle in JIRA, populate it with relevant test cases, and log defects encountered during testing. This exercise simulates the workflow that a QA team experiences, allowing for practical exposure to real-world scenarios and tools.

Examples & Analogies

Managing a test cycle in JIRA is akin to running a project management toolkit for organizing a community event. Just like you'd track tasks, communications, and issues encountered during the event's planning, students will learn to document, prioritize, and resolve bugs systematically in a collaborative tool.

Week 8: Performance & Security Testing Basics

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3.4 Week 8: Performance & Security Testing Basics

3.4.1 Day 36: Introduction to Performance Testing
Performance testing includes Load (handling normal traffic) and Stress (testing limits).
Example: Load test: Ensure an app handles 1,000 users. Stress test: Test until it crashes.
Exercise:
1. Define a load test scenario for an e-commerce site.
2. Explain the purpose of stress testing.

Detailed Explanation

This chunk introduces foundational concepts of performance testing, focusing on both load and stress testing.

  • Performance Testing: This testing type assesses how a system performs under normal and peak conditions.
  • Load Testing checks if the application can handle expected user traffic without performance degradation. For instance, testing how the e-commerce site performs when 1,000 users are logged in simultaneously.
  • Stress Testing goes further by stressing the application beyond normal operational capacity to evaluate its resilience under extreme conditions or loads.

Examples & Analogies

Performance testing can be likened to evaluating a car’s performance on a highway. Load testing is like driving at the speed limit with a full car, checking that everything runs smoothly. Stress testing would be akin to pushing the car to its limits, driving as fast as possible while adding more weight inside, testing where breakdowns occur.

Tools Overview – JMeter Basics

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3.4.2 Day 37: Tools Overview – JMeter Basics
JMeter simulates user loads to test performance.
Example: A JMeter script tests a website’s response time under 500 users.
Exercise:
1. Create a basic JMeter test plan for a login page.
2. List three JMeter features.

Detailed Explanation

In this section, we explore JMeter, a widely used tool for performance testing.

  • JMeter: A powerful open-source tool designed to load test functional behavior and measure performance. For instance, you can create a script in JMeter to simulate 500 users attempting to log in simultaneously, helping to identify bottlenecks or failures in the application before it goes live.

Examples & Analogies

Using JMeter is like using a water hose to test how well a swimming pool’s drainage works. By simulating the flow of multiple users (like water from different hoses), one can analyze how quickly the pool drains, ensuring it can handle real-life usage scenarios efficiently.

Introduction to Security Testing Concepts

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3.4.3 Day 38: Introduction to Security Testing Concepts
Security testing identifies vulnerabilities like SQL injection or weak authentication.
Exercise:
1. List three common security vulnerabilities.
2. Describe how QA can test for weak passwords.

Detailed Explanation

This chunk discusses security testing and its crucial role in the software development lifecycle.

  • Security Testing: The goal is to reveal vulnerabilities in the application that could be exploited by malicious users. It involves various techniques to ensure data integrity and confidentiality.
    Common vulnerabilities include SQL injection, where attackers can manipulate database queries to access sensitive data, and weak authentication, which allows unauthorized access due to insecure login routines.

Examples & Analogies

Security testing is like a home security audit. Just as you would check locks, alarms, and security cameras to ensure you're protected against intruders, security testing examines your application for weak points that could allow unauthorized access or data breaches.

Common Vulnerabilities (OWASP Top 10)

Chapter 19 of 20

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3.4.4 Day 39: Common Vulnerabilities (OWASP Top 10)
The OWASP Top 10 lists critical vulnerabilities, e.g., Cross-Site Scripting (XSS).
Exercise:
1. Explain two OWASP Top 10 vulnerabilities.
2. Write a test case to check for XSS.

Detailed Explanation

In this section, we dive into some of the most critical security vulnerabilities outlined by the OWASP (Open Web Application Security Project) Top 10 list.

  • OWASP Top 10: This list highlights the ten most critical security risks to web applications. Common examples include:
  • Cross-Site Scripting (XSS): This vulnerability allows attackers to inject malicious scripts into web pages viewed by other users.
  • SQL Injection: This involves manipulating and executing arbitrary SQL commands through input fields to gain unauthorized access to data.

Examples & Analogies

Learning about the OWASP Top 10 is like studying common health risks to avoid getting sick. Just as you would take precautions against known health issues (like flu season), developers must understand and guard against vulnerabilities to keep their applications safe.

Review + Advanced Concepts Practice

Chapter 20 of 20

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3.4.5 Day 40: Review + Advanced Concepts Practice
Students practice performance and security testing concepts.
Exercise:
1. Design a performance test plan.
2. Write two security test cases.

Detailed Explanation

In this final chunk of Month 2, students put their skills into practice with performance and security testing.

  • Performance Test Plan: Students design a comprehensive plan that outlines how they will conduct performance testing on an application. This plan will detail load scenarios, metrics for measurement, and expected outcomes.
  • Security Test Cases: Students draft specific test cases aimed at identifying vulnerabilities, allowing them to practice applying what they have learned about security testing techniques.

Examples & Analogies

Creating a performance test plan is similar to drafting a training regimen for a marathon. You outline distances, speed goals, and intervals like a test plan, while writing security test cases is akin to planning defensive drills in a sports team to prepare for an opponent’s strategy.

Key Concepts

  • Smoke Testing: A high-level test ensuring significant features work before further testing.

  • Regression Testing: Re-examines functionalities to confirm that updates haven’t broken existing features.

  • Integration Testing: Ensures modules work together.

  • User Acceptance Testing: Validation that the system meets user needs.

  • Static Testing: Early phase testing to find defects without executing code.

  • Performance Testing: Assesses application performance under various loads.

  • Security Testing: Identifies vulnerabilities in systems.

Examples & Applications

A banking app uses Smoke Testing to check basic functions like login and fund transfers.

Regression Testing is performed on a web app after a new feature is added to ensure previous functionalities are not broken.

Integration Testing is done to confirm that the payment gateway and order modules work seamlessly together.

Memory Aids

Interactive tools to help you remember key concepts

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Rhymes

Smoke checks the main flow, Regression keeps old bugs low.

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Stories

A software kingdom where each feature was a knight; Smoke was the strongest, ensuring all fought till the end, while Regression safeguarded the realm from old foes returning.

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Memory Tools

Use the acronym 'SIR': Smoke, Integration, Regression—in that testing order.

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Acronyms

UAT

Users Always Test to validate their needs.

Flash Cards

Glossary

Smoke Testing

A quick test to check if the major features of an application work properly.

Sanity Testing

A type of testing focused on verifying that specific functionalities work after changes are made.

Regression Testing

Testing to confirm that recent code changes haven’t adversely affected existing features.

Integration Testing

Testing the interaction between different system modules.

UAT (User Acceptance Testing)

A process to verify the system meets business needs and is acceptable for release.

Static Testing

Reviewing documents and code without executing them to find defects early.

Performance Testing

Testing to determine how a system performs under various conditions.

Security Testing

Testing intended to uncover vulnerabilities and weaknesses in a system.

JMeter

An open-source tool used for performance testing.

OWASP Top 10

A list of the top ten security vulnerabilities that are most critical to web applications.

Reference links

Supplementary resources to enhance your learning experience.