Agile adoption is in full swing. According to the most recent State of Agile Report, it’s being adopted by 95% of organizations. That’s not to say it’s easy to accomplish an Agile transformation. In fact, 77% of organizations are still in the process of implementing its methodologies as they struggle with cultural, organizational and technological change.
Part 3 in the series: Moving from Test Automation to Intelligent Automation In part 2 of this series, Data Modeling and Referential Integrity, we explored GenRocket’s ability to reproduce the structure of any database, file format or data interface standard by importing a data model and establishing referential integrity between related data tables. This capability allows a data architect to establish a framework for testers to generate any volume or variety of test data that conforms to the structure of application data sources. In GenRocket’s component architecture, data tables are referred to as Domains while columns, are referred to as Attributes. In addition to data tables in a database, Domains can define any real-world object. Think of a Domain as you would a noun: a person, place or thing.
Part 2 in the series: Moving from Test Automation to Intelligent Automation In part 1 of this series, we introduced the concept of Intelligent Data Provisioning - the ability to design and generate test data on-demand using a flexible self-service framework. It’s the future of traditional Test Data Management and essential for ensuring quality at speed in DevOps and Agile environments.
Part 1: Making the case for intelligent test data provisioning Automated testing has become essential technology for Continuous Integration and Continuous Delivery. For QA teams to achieve the ultimate goal of quality at speed, the intelligent use of automation must play a significant role at each level of the Agile software testing pyramid.
GenRocket’s Test Data Automation (TDA) can be used to solve any test data challenge with self-provisioned test data that is integrated with test automation tools and frameworks. As data requirements change for different categories of testing, QA professionals can quickly configure the precise test data they need and generate it on-demand during test execution.
Software Engineering is an exciting place to be these days. DevOps, Agile and Continuous Delivery are all buzzwords that represent a new order in software development - efficient, fast paced and highly collaborative organizational models. Quality Assurance is also an exciting
The 2018-19 edition of the World Quality Report contains comprehensive research on the key trends shaping quality assurance and testing. The report examines the operational benefits realized by QA teams from their use of test automation tools. Based on a
Test Data Generation (TDG) is the perfect companion technology for test automation. By their nature, test automation tools require that test data be provisioned at high velocity. With TDG, provisioning speed is not a problem because test data can be generated instantly when the automated tests run. With the help of TDG, realizing the full benefit of continuous testing can be a very achievable goal. However, transitioning from traditional test data provisioning to TDG can be perplexing. For many QA professionals, it’s something of a “where do I begin” dilemma. And it’s a classic change management challenge to overcome. Change is always difficult and the inertia of current practices can be hard to break. One of the principles of successful change management is to identify quick wins that establish early success and reinforce the team’s commitment to a new direction. Quick wins combine achievable outcomes and measurable benefits with the use of best practices that can be used and expanded over time. Selecting quick wins for TDG deployment should be guided by your test automation deployment. Which tests you choose to automate first will have a profound effect on productivity gains. Because some categories of testing provide greater ROI than others in terms of time and cost savings, it’s best to identify areas of testing where automaton and test data generation will have the greatest impact.
Seems like every QA organization is implementing test automation to make their transition to continuous testing. Continuous delivery (CD) is the “new normal” for software development and CD all but mandates the use of automation tools to replace manual testing processes. A survey of more than 1600 QA professionals in 60 countries conducted by QA Intelligence (commissioned by PractiTest) found that 85% of test organizations have introduced test automation into their operation in an effort to replace manual testing.
Digital transactions between organizations and institutions require data interface standards to communicate effectively - whether they are commercial, medical, financial, educational, or governmental in nature. Electronic Data Interchange (EDI) is the principle standard that ensures all connected systems speak the