June 2022 Summaries

testRigor is a testing tool that simplifies the process of working with complex web elements, such as nested iframes and Shadow DOMs, by allowing users to specify actions from an end user's perspective without dealing directly with the underlying code. The session highlighted how testRigor transparently handles up to two levels of nested iframes, with options to extend this capacity through advanced settings, and effortlessly manages Shadow DOMs, including open and closed types, by utilizing optical character recognition (OCR) for closed Shadow DOMs. Additionally, testRigor offers comprehensive support for its users, including training team members as in-house experts, and ensures that the tool functions as expected, providing customer support through various platforms like Slack, MS Teams, and Zendesk for paid subscribers. The session emphasized the tool's straightforward approach, assuring users that they do not need to manage personal security details or complex configurations for successful testing.

TestRigor addresses the common issue of test automation maintenance by eliminating reliance on implementation details, which often leads to flaky failures and resource-intensive upkeep. This solution allows customers to efficiently achieve over 90% test automation coverage, typically in less than a year. Before adopting testRigor, many users struggled with lower levels of automation due to resources being heavily tied up in maintaining tests. By solving this maintenance problem, testRigor enables customers to continue building tests using the same resources without being hindered by ongoing maintenance challenges.

The job market for quality assurance (QA) roles is shifting, with a noticeable decline in purely manual QA positions and a rise in hybrid or fully automated QA roles. This trend is accompanied by the increased accessibility of learning test automation, making it easier now than in the past to acquire these skills. Engaging with resources like the mentioned session can provide individuals with the necessary knowledge to gain a competitive edge in their careers by mastering test automation.

TestRigor stands out as a unique tool in the market by enabling non-technical employees to build automated tests significantly faster than traditional methods like Selenium, achieving results in a matter of months using plain English. It distinguishes itself by offering features that drastically reduce test maintenance, with users spending on average 200 times less time on upkeep compared to other solutions. Once created, these automated tests require no maintenance, setting TestRigor apart from its competitors.

TestRigor offers a stable testing solution by operating at the end-user level, unlike frameworks like Selenium that rely on implementation details such as XPath and CSS selectors, which can lead to test failures when changes occur. By writing specifications in English, testRigor mimics the actions of a manual tester, ensuring that tests remain successful as long as the user experience remains unchanged, regardless of underlying implementation modifications. This approach allows testRigor to maintain test stability despite changes that would typically disrupt tests in other frameworks.

testRigor has developed a series of videos to address the frequent questions posed by new customers, highlighting its applicability to various company sizes and its ability to cater to organizations without dedicated testers. The platform differentiates itself from other testing tools like UFT, Ranorex, and TestComplete by leveraging AI and offering features such as accessibility testing, Jira and TestRail integrations, and a unique pricing model. testRigor supports continuous integration and delivery (CI/CD) and can test mobile web, native mobile apps, and desktop applications while maintaining test stability despite UI changes. It integrates with existing automated test suites, offers end-to-end testing, and is distinguished from Selenium and Cucumber Gherkin by solving specific customer problems with high test stability and security. The tool supports Behavior-Driven Development (BDD) and provides guidance on test coverage and writing order, while allowing parallel test execution, handling complex user flows, and offering customer support.

Automating the testing of tables can be efficiently achieved by focusing on either relative locations or table structure from an end-user’s perspective, ensuring stability and ease of implementation. For example, when deleting a row in a table, actions can be expressed in testRigor by clicking relatively, such as "click on the second button to the right of 'spk2'," or contextually within the table structure, like "click on the second button within the context of the table at row containing 'spk2' and column 'Action'." These methods remain effective even if the table's rendering changes, unlike using Selenium, where XPath locators must be rewritten if the table shifts from table-based to div-based rendering, which can complicate the automation process. A video tutorial is available for a step-by-step guide, and a free account is offered for those interested in trying the method themselves.

Exploratory testing is a dynamic and creative approach to quality assurance that emphasizes flexibility and intuition over rigid test scripts, allowing testers to simulate real user interactions and uncover defects that structured testing might miss. This method encourages testers to think outside the box, focusing on diverse user journeys and potential software weaknesses without predefined test cases, often employing tools like test charters for guidance. Despite the challenges in measuring its success and the high skill requirements, exploratory testing is particularly valuable in agile environments where rapid feedback and adaptability are crucial, allowing testers to swiftly respond to evolving project needs. Tools like testRigor enhance this testing approach by automating parts of the process, helping track test steps, and integrating with common bug tracking systems, thus addressing issues like the difficulty of reproducing bugs and maintaining detailed records. Ultimately, exploratory testing remains a vital strategy in QA, enabling teams to discover a wide range of software issues while saving time, and automation tools further streamline and enhance its effectiveness.

Agile testing is a methodology that integrates software development and testing concurrently, contrasting with the traditional Waterfall model where testing occurs post-development. This approach allows for early detection and resolution of bugs, resulting in cleaner code and higher-quality software, as all team members share responsibility for the product's quality. Agile testing employs frameworks like Kanban and Scrum, emphasizing continuous testing, automated regression testing, and iterative feedback through methods such as Behavior-Driven Development (BDD) and Acceptance Test-Driven Development (ATDD). testRigor is an AI-powered automation tool that facilitates agile testing across web, desktop, and mobile applications by enabling teams to create and execute tests rapidly and efficiently, without requiring extensive programming skills. By integrating with continuous integration systems like Jenkins or Azure DevOps, testRigor enhances project visibility and collaboration, while its security measures ensure data protection. The tool's plain-English interface allows for quicker test creation and reduced maintenance, supporting agile teams in delivering high-quality products aligned with business goals.

Recent updates include the introduction of Custom Commands in testRigor, enabling advanced users to run JavaScript directly in the browser console, and enhancements to Xray for JIRA Cloud integration, allowing users to create and manage custom fields for test executions. The process for adding and populating custom fields involves navigating through the settings to the Xray Cloud section and using a modal interface to set values, which can override defaults at both the suite and test case levels. Additionally, new CI/CD integration details have been added, explaining how to send suite custom fields during API-triggered reruns. An update to the retest API introduces an optional parameter called allowKnownIssues, which marks errors as known issues for branch or commit retests and affects all subsequent runs. This behavior is documented with examples in the CI/CD tab.

Unit testing and integration testing are two fundamental stages in the software testing process, each serving distinct purposes and occurring at different stages of development. Unit testing involves examining individual components or modules in isolation, often using mocked data, to ensure each piece of code performs its intended function. This type of testing is typically done by developers and is cost-effective due to its simplicity and speed, as it doesn't require external resources or environments. Conversely, integration testing evaluates the interaction between combined modules to ensure they function together seamlessly, identifying bugs that unit tests might miss, such as those arising from different developers' contributions. Although integration tests are generally more complex and resource-intensive, they provide crucial feedback about the system's overall functionality. While unit tests are executed early and frequently, integration tests follow to verify the system’s coherent operation, and both testing types are integral to producing reliable software.

testRigor offers a streamlined approach to software testing by allowing specifications to be executable directly in English, eliminating the need for additional coding, which contrasts with tools like Cucumber or Gherkin that require a multi-step process involving reading specifications, writing code, and then writing test code. This approach reduces the likelihood of miscommunication between QA engineers and the business, as the specifications are clear and executable from the outset. By automating baseline tests and writing specifications before coding, testRigor helps identify issues early in the development process, reducing effort and ensuring clarity between product management and engineering, ultimately saving time and resources.

The session on June 17, 2022, discusses two autonomous methods for creating tests using testRigor, a test automation tool. The first method involves utilizing AI to generate tests by analyzing the application's functionality, while the second method automatically creates tests that correspond to the most frequently used features of the software product.

Hyperautomation represents a significant evolution in automation by integrating advanced technologies like Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning to automate complex business processes extensively. Unlike traditional automation, which focuses on smaller-scale repetitive tasks, hyperautomation aims to automate as many processes as possible, thereby enhancing business agility, productivity, and decision-making capabilities. This approach leverages enabling technologies such as process mining, computer vision, and Natural Language Processing (NLP) to streamline operations across industries like finance, healthcare, e-commerce, and quality assurance. Despite its benefits, hyperautomation poses challenges such as data privacy concerns and the need for human intervention in complex scenarios, while tools like testRigor facilitate the transition by offering AI-based test automation solutions that simplify and enhance the testing process without requiring code.

Testing in production is a critical stage in the software development process, ensuring that applications function correctly in a live environment and helping to identify issues that may not be apparent in lower testing environments. This practice includes techniques such as regression testing, A/B testing, canary releases, volume testing, and continuous monitoring, each offering unique benefits and insights into user experience and application performance. Despite the potential risks, such as data loss or negative user experiences, testing in production is viewed as a final safeguard against real-time bugs and is integral to maintaining high-quality software products. It leverages real user interactions and feedback, making it a valuable component of a company's risk mitigation strategy. Proper execution of testing in production, supported by tools like testRigor, which offers automated UI and load testing capabilities, can enhance software resilience and contribute to better business outcomes.

TestRigor supports Behavior Driven Development (BDD) but distinguishes itself by emphasizing a process where business owners directly contribute to creating executable specifications, thereby enhancing efficiency. Unlike the common misconception that BDD is synonymous with Gherkin Cucumber, TestRigor highlights BDD as a method to engage business owners in specification creation, which can be executed without requiring additional implementation by QA engineers. This approach, termed Specification Driven Development (SDD), simplifies the traditional BDD process by merging specification and code writing into two steps instead of three, eliminating the need for separate QA implementation.

The CI/CD pipeline is a crucial component of modern agile and DevOps workflows, facilitating the frequent and reliable delivery of software applications through automation. It encompasses continuous integration (CI), continuous delivery (CD), and continuous deployment, each contributing to the expedited merging, testing, and deployment of code. CI involves developers frequently integrating code into a shared repository, while CD adds an automated layer that ensures validated code changes are ready for production. Continuous deployment pushes these changes live without manual intervention, relying heavily on automated testing to maintain quality control. This framework not only supports rapid and incremental software releases, minimizing risk, but also integrates security measures throughout the development lifecycle to align with DevSecOps practices. Various tools, both open-source and proprietary, such as Jenkins, Tekton Pipelines, and Spinnaker, play a crucial role in automating these processes, while intelligent test automation solutions like testRigor are essential to keeping up with the pace of CI/CD by ensuring swift and effective quality assurance.

testRigor emphasizes the importance of automating the most critical business functions first to ensure that core operations run smoothly. The platform is designed to be user-friendly for non-technical users, including managers, and offers the capability to autonomously generate tests. By deploying an analytics library in production, testRigor collects data on how users interact with an application, using this information to automatically create tests that cover the most frequently used end-to-end scenarios. While these scenarios may not always align with the most vital business functions, having automatically generated tests for these common interactions is beneficial and cost-effective.

Test coverage in the QA industry is often ambiguously defined, varying significantly between engineers and QA professionals. Engineers typically focus on unit tests, measuring the percentage of code lines covered, whereas QA professionals prioritize end-to-end tests that evaluate the completion of important business scenarios. Achieving 100% test coverage is traditionally challenging with tools like Selenium due to technical difficulties and the effort required to cover all scenarios. However, testRigor offers a solution that simplifies this process by enabling tests to be created and automated using plain English, allowing for potentially complete coverage within a month. This approach not only enhances the speed of business operations by automating all test cases but also underscores the importance of end-to-end tests, which validate the application's functionality from a user's perspective, ensuring that users can complete their intended tasks.

The role of a Software Quality Engineer (SQA) involves overseeing the quality management system of a software project and ensuring it meets required standards before release. This encompasses both quality assurance (QA) and quality control (QC), with QA focusing on preventing bugs throughout the development process and QC emphasizing defect detection. A variety of titles exist in the QA industry, such as QA analyst, SQA, and SDET, without strict definitions tied to these titles; therefore, job descriptions should be prioritized over titles when seeking roles. Essential skills for quality engineers include critical thinking, attention to detail, and technical knowledge of computer systems and programming languages for automation tasks. As the industry increasingly shifts toward automated processes, tools like testRigor enhance QA by automating test creation and maintenance with AI-driven technology, allowing tests to be written in plain English and adapting them based on real user interactions to improve test coverage and quality.

Using testRigor efficiently involves automating existing test cases by defining specific actions and directly integrating them into the platform, which allows them to become immediately executable. This approach facilitates writing test cases even before the engineering team begins working on a feature, as product managers can utilize predefined terminology to specify how new features should function. Consequently, this enables the tests to be executed in advance, ensuring clear communication and eliminating ambiguity about the requirements, aligning with the ATDD (Acceptance Test-Driven Development) style for UI tests. This method promotes effective engineering practices by ensuring test coverage is in place from the onset of development.

Email marketing, known for its high return on investment, is increasingly being leveraged by companies, but the complexity of email testing presents unique challenges that surpass traditional browser testing. Email testing tools have emerged as essential resources to address these challenges by ensuring emails render correctly across various clients, optimizing deliverability, and supporting A/B testing for content effectiveness. Notable tools in 2022 include testRigor, with its AI-driven platform that simplifies testing through plain English instructions and comprehensive functionality checks, and Litmus, which allows teams to preview and test emails across over 100 providers and devices while offering spam score assessments. Email on Acid provides pre-send issue detection for links, accessibility, and content verification, whereas Preview My Email focuses on deliverability and performance, featuring a drag-and-drop editor and blacklist checks. Each tool offers specialized capabilities to enhance the effectiveness and reliability of email marketing campaigns.

Recent updates have simplified the database connection string and introduced a new method for selecting options in dropdowns by position, which will fail if selection by index is not possible. TestRigor now offers the ability to specify custom DNS servers for Android devices within the Proxy tab of the Settings section, available only for Android suites. Additionally, testRigor supports running native mobile tests using Kobiton as an external infrastructure provider. A dropdown for selecting the JDBC by database has been added, along with separate fields for username and password, with these credentials being customizable in test cases using specific variables.

Understanding the differences between smoke testing and regression testing is crucial for software professionals, as each serves distinct purposes in the software development lifecycle. Smoke testing, often referred to as build verification testing, involves a small set of tests aimed at ensuring the stability of core functionalities in a new software build, allowing developers to identify broken builds early and avoid wasting resources on further testing. In contrast, regression testing is a comprehensive process that ensures all features of the software function correctly, particularly after code changes such as bug fixes or new features, and it is essential for confirming that recent updates have not adversely affected other parts of the software. While regression testing is typically more time-consuming and detailed, involving the entire QA team, smoke testing can sometimes be managed by developers. Automation tools, such as testRigor, offer significant benefits by streamlining both smoke and regression testing, saving time, reducing manual labor, and allowing QA teams to focus on enhancing other areas of the software project, resulting in happier QA testers, developers, product owners, business owners, and end-users.

Mobile Testing with testRigor is focused on simplifying the process of testing mobile applications by using plain English to automate tests without requiring any coding skills. The platform supports both iOS and Android applications, offering features such as visual testing, which recognizes elements based on human-like perception rather than code identifiers, and the ability to execute tests across various devices and configurations. It emphasizes ease of use, enabling testers to create, modify, and maintain tests efficiently while integrating seamlessly into continuous integration and deployment workflows. Additionally, testRigor facilitates collaboration among team members and provides detailed reporting and analytics to ensure comprehensive test coverage and quality assurance.

Test-driven development (TDD) and behavior-driven development (BDD) are methodologies used in software development to enhance code quality and maintainability, though they differ in focus and implementation. TDD involves writing tests before code to reduce bugs and improve maintainability, with developers frequently running automated tests to track progress. In contrast, BDD emphasizes understanding software behavior from a user's perspective, using collaborative efforts to create user stories often written in Gherkin syntax. While TDD is typically executed by developers in isolation, BDD involves collaboration among product owners, business analysts, developers, and QA teams. The article highlights testRigor as a tool that enhances BDD by allowing the creation of executable specifications in plain English, simplifying the process and addressing some limitations of traditional BDD, thereby optimizing resources and streamlining software development.

In the context of increasingly complex web projects, developers are opting for the shadow DOM over traditional iFrames due to its lighter and less restrictive nature for embedding third-party content. Shadow DOM, a specialized version of the Document Object Model, isolates its structure in a shadow tree, which can be either open or closed, affecting accessibility for UI testing tools. While closed shadow DOMs present challenges for many test automation tools, testRigor offers a solution by utilizing Optical Character Recognition (OCR) technology and visible text to automate tests effectively. Users can enable OCR in testRigor's settings to facilitate this process, allowing them to craft automated tests that interact with shadow DOM elements by relying on text visibility.

TestRigor allows users to execute test cases in their own language by providing a platform that supports both low-level and high-level actions, which can be customized and defined according to specific needs. For instance, when testing a platform like Amazon, users can define actions such as "find the product," "add to the cart," and "checkout," each with detailed steps. Users often have pre-documented test cases that they can directly copy and paste into testRigor, where they can further outline the specific actions involved. This approach enables test cases to be executable with minimal adjustments, allowing users to maintain their preferred terminology while leveraging testRigor’s capabilities for running tests effectively.