Performance Test Plan Template
<Company Name>
<Project Name>
Performance Test Plan Template
Version X.X
MM/DD/YYYY
Document Number: <document’s configuration item control number>
Contract Number: <current contract number of company maintaining document>
Performance Test Plan Sign-off
<List out the name of import stakeholders responsible to sign-off the document>
Record of Changes
< Provide information on how the development and distribution of the performance test plan were carried out and tracked with dates. Use the table below to provide the version number, the date of the version, the author/owner of the version, and a brief description of the reason for creating the revised version.>
Table of Contents
1.1 Types of performance tests
2.1 Overview: System Architecture
3. Performance Test Requirements
4.1.1 Performance Test Data Planning
4.1.3 Suspension/Resumption Criteria
4.1.4 Acceptance/Exit Criteria
5.1 Performance Test Environment
5.2 Assumptions, Constraints, Risks and Dependencies
- Executive Summary
<Please write here, a summary and the purpose of the performance testing>
Example:
This Performance Test Plan outlines the strategy and approach for testing the performance of the enhanced features in the E-commerce website. The primary focus is to ensure that the website meets performance expectations under anticipated user loads and to identify and address any potential performance bottlenecks.
1.1 Types of performance tests
<Please write here the list of performance testing kinds with a breaf description. For example: Load Testing, Stress Testing, Endurance Testing, Spike Testing, Scalability Testing, Volume Testing, etc>
Example:
· Load Testing: Tests the app’s ability to perform under anticipated user loads. The goal is to identify performance bottlenecks before the software application goes into production.
· Stress Testing: involves testing an application under extreme workloads to see how it handles high traffic or data throughput. The goal is to identify the breaking point of an application.
· Endurance Testing: These are done to ensure that the software can handle the expected load over a long period of time. (Memory leaks)
· Spike Testing: Tests the software’s reaction to sudden, large spikes in load generated by users.
2. Application Architecture
<Please write here the summary of the architecture, technology used, impacted components etc.>
2.1 Overview: System Architecture
<Please write here the detailed description of the application/system>
2.2 Architecture Diagram
<Add links to architectural diagram and any extra documentation of the application in this section>
3. Performance Test Requirements
3.1 Requirements
<Please write here the justification to include the performance testing for this project. Attach the Performance Score Metrics sheet or MOM in which Performance Testing of specific or all the components was agreed.>
3.1.1 Business NFR
<This section will contain all the non-functional requirements which come from the project team. These requirements could be in the layman term or very high level. A typical example is given in the table>:
3.2 Detailed and Agreed NFR
<After analyzing the business NFR, refine them and convert into quantitative NFR. Attach the NFR document sheet in this section. Make sure all the NFRs are agreed from all the project stockholders>
3.3 NFR and NFT Matrix
<This section contains the non-functional test cases (scripts) and applicable non-functional requirement>
4. Performance Test Planning
4.1 Performance Test Scope
<
1.Here, we specify which parts of the system will be evaluated and what specific aspects will be measured, for example: the entire application, individual services, critical modules, or key transactions.
2. The functionalities or particular features that will be subject to testing must be defined, such as user load on a homepage, user registration process, product search, etc.
3. Identify types of tests that will be conducted for each functionality: load testing, endurance testing, stress testing, etc. >
4.1.1 Performance Test Data Planning
< The sets of data to be used in the tests must be determined (user profiles, product data, or transactional data, etc.).
Strategies for test data generation must be defined, including how confidential data will be handled, and how privacy and security of the data used in the tests will be ensured.
The strategy for test data generation can be one of the following or a combination of them:
1) Anonymized Production Data: Use a copy of production data that has been anonymized to remove sensitive or confidential information. This allows test data to be as realistic as possible in terms of volume and structure without exposing private information.
2) Synthetic Data: Generate entirely fictitious test data that follows a pattern similar to real data. This can be useful when real data cannot be used for privacy or security reasons.
3) Semi-Real Data: Combine real and fictitious data to create a dataset with some characteristics of real data but without exposing confidential information. This can be useful for testing specific use cases.
4) Static Test Data: Use a static test dataset that does not change over time. This is suitable for performance tests where data is not a significant variable, such as sustained load tests (endurance tests).
5) Dynamic Data Generation: Create scripts or programs that generate test data in real-time during test execution. This is useful when dynamic and changing data is required to simulate different user scenarios.
6) Capture and Replay of Production Data: Record user interactions with the application in a production environment and then replay those interactions in a test environment. This can be useful for replicating the real behavior of users.
7) Random Test Data: Generate test data randomly within certain predefined parameters. This can help simulate a variety of situations and usage conditions.
The test data must be attached along with the rest of the deliverables for each test execution.>
4.1.2 Start Criteria
< In this section, the appropriate time to commence performance testing should be established. For instance, this may include the completion of functional and/or integration testing, the availability of test environments, and the approval of necessary resources.
Objectives and prerequisites for testing must be defined, such as the availability of test data and access to testing tools.
This information can be structured in the form of a checklist. >
4.1.3 Suspension/Resumption Criteria
< In this section we outline the suspension and resumption criteria, indicating when it is necessary to stop or pause performance tests and when they can be resumed. This may be due to unforeseen situations such as critical errors, performance degradation, or an unusual increase in system load.
Define who has the authority to make decisions regarding the suspension and resumption of tests, as well as the procedures for communicating and documenting these actions. >
4.1.4 Acceptance/Exit Criteria
< The criteria to be met for performance tests to be considered successful (acceptance criteria) and concluded (exit criteria) must be established.
These criteria may include specific metrics, such as maximum response times, acceptable error rates, or the ability to handle a certain number of concurrent users without significant performance degradation.
Specify how the test results will be documented and presented, and identify the individual responsible for approving them. >
4.2 Tecnological Stack
5. Performance Test Execution
5.1 Performance Test Environment
<The Performance Test environment should be documented as detailed as possible. Architecture, servers, data bandwidth, quantity of users, OS, versions, etc. Each piece involved in the Test should be detailed.>
5.2 Assumptions, Constraints, Risks and Dependencies
5.2.1 Assumptions
<Assumptions should be documented concerning the available release software, test environment, dependencies, tools, and test schedule associated with the performance test. Examples are shown below.>
5.2.2 Constraints
<Constraints should be documented concerning the available release software, test environment, dependencies, tools, test schedule, and other items pertaining to the performance test. Examples are shown below.>
5.2.3 Risks
<Risks should be documented concerning the test schedule, release software, dependencies, tools, test approach test environment and other items pertaining to the performance test. Examples are shown below.>
5.2.4 Dependencies
<Dependencies should be documented concerning the latest build, test data, schedule, required tools’ installation, test environment and other items pertaining to the performance test. Examples are shown below.>
6. Milestones
Key milestones are listed in the table below. Each of the milestones represents a group of tasks on which completion of Performance Testing is dependent. If any of the milestones are listed as “At Risk”, the milestones that follow it will most likely be delayed as well.
6.1.1 Test Organization
<Document the test organization and any other departments that will be supporting the Performance Test Phase.>
Appendix A: Acronyms
<List out all the acronyms and associated literal translations used within the document. List the acronyms in alphabetical order using a tabular format as depicted below.
Appendix B: Glossary
<Write down the clear and concise definitions for terms used in this document that may be unfamiliar to readers of the document. Terms are to be listed in alphabetical order.>
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QA Tech Group 2023 — Performance Testing
Authors:
Diego Delgado
Pablo Roldan
Maximiliano Kunz
