Go back to all articles

Documentation Testing

Mar 20, 2019
2 min read

Documentation testing intends to check the quality of documentation, such as the user instruction manual or the installation instruction manual, for completeness and conformance to the normative base and to the technical documentation requirements.

Documentation testing examines and increases the quality of documents at different stages of the software development lifecycle. This includes such documents as a requirements list, test methods, user and administrator manuals, as well as identifying potential bottlenecks through load and performance testing services, ensuring your system performs optimally under stress.

Problems it will solve

  • Minimize the risks related to the presence of software functionality operation defects due to faulty test methods by promptly improving the test methods and future discovery of these defects during the phase of user acceptance testing. Incorporating performance testing tools like JMeter cloud load testing can also help ensure that high-traffic scenarios are adequately covered, further reducing potential risks
  • Minimize the operational costs of the software development by improving the documentation and thus minimizing the overhead costs that appear due to poor description of requirements in the documentation
  • Increase the effectiveness of knowledge transference and minimize the training time for new users by increasing the system documentation quality of documents such as user manuals or administrator manuals
  • Minimize the operating costs of software development by lowering the overhead costs that appear due to poor description of requirements in the documentation

The report includes the following information (Deliverables):

  • Whether or not the system’s documentation is complete and consistent, and if it corresponds to the required formatting standards
  • Whether or not the system’s documentation is updated and describes in detail the system functionality
  • Whether or not the system’s information security, architecture, technological platforms, and integration interaction requirements are complete, sufficient, and correctly described in the provided documentation
  • A list of problems found in the system’s technical documentation pack, and recommendations for their correction

Scope of work

  • Determine the scope of documentation to be tested and the software development stages for these documentation
  • Determine the scope of documentation to be tested and the software development stages for this documentation
  • Documentation analysis
  • Prepare the report and a list of recommendations
  • Update the documentation

Tools and licences

  • HP ALM (HP Application Lifecycle Management, HP Quality center)
  • TFS (Team Foundation Server)
  • TestLink + JIRA
  • TestLink + Readmine
Table of contents

    Related insights in blog articles

    Explore what we’ve learned from these experiences
    8 min read

    gRPC vs. REST: Detailed Comparison

    grpc vs rest preview
    Jun 24, 2025

    Choosing between gRPC and REST can feel confusing, especially if you’re trying to figure out the best way for your applications to communicate. This article breaks down the grpc vs rest comparison clearly, without jargon or confusion. You’ll learn exactly what each protocol is, the advantages and disadvantages of each, and understand why gRPC is […]

    5 min read

    Top 10 Data Masking K2view Alternatives

    k2view alternatives preview
    Jun 20, 2025

    If you’re exploring alternatives to K2view for data masking, this guide breaks down the top tools worth considering. We’ve compiled the leading solutions that serve a variety of industries — from finance and healthcare to DevOps-heavy SaaS. You’ll find a detailed comparison table of K2View competitors, full tool breakdowns, and a closer look at PFLB […]

    3 min read

    How to Generate AI-Powered Load Test Reports with PFLB

    pflb ai powered load test report preview
    Jun 18, 2025

    Say goodbye to tedious manual reporting after load testing! With PFLB’s innovative AI-powered report generation, performance engineers can quickly turn detailed test data into comprehensive reports. This guide walks you step-by-step through setting up your test, running it, and effortlessly generating exhaustive performance analysis — so you spend less time reporting and more time optimizing. […]

    6 min read

    K2view vs Oracle Data Masking: Which Tool Is Better?

    k2 vs oracle data masking tool preview
    Jun 16, 2025

    Not all data masking tools are built for the same kind of job. Some are better suited for locked-in enterprise stacks; others focus on flexibility across fragmented systems. In this article, you’ll find K2View vs Oracle Data Masking comparison through the lens of performance, ease of use, integration range, scalability, and compliance coverage. If you’re […]

  • Be the first one to know

    We’ll send you a monthly e-mail with all the useful insights that we will have found and analyzed