tools

Articles

A tesselated pattern of gray tiles Test Tooling Patterns for Solving Problems

A design pattern consists of the pattern name, the problem it solves, how to implement the solution, and some consequences. There are also proven patterns like this that can be used in testing. This article lists and defines many commonly used patterns that can help you solve problems, improve code maintenance, and just make your life easier.

Matthew Heusser
Graphic of test automation tools The TERMS for Test Automation Risk or Success

Automation is a service to testing—a tool that may prove to be useful or turn wasteful. When approaching test automation, there are five main areas to focus on, expressed in the acronym TERMS: Tools and Technology, Execution, Requirements, Maintenance, and Security. Here are some examples of how these factors are involved in defining automation success or failures.

Albert Gareev
Collection of random numbers When a Number Is Not a Number: Benefits of Random Test Generators

We like to hope that we will consider all possible situations when devising our tests, but it’s all too easy to overlook the unusual cases. That’s the benefit of random test generators. We might feel comfortable after testing a few dozen test cases; these tools generate hundreds. With more stuff getting tossed at the wall, there is a greater likelihood that something interesting sticks.

Steve Poling
Brain made out of a circuit board Leveraging Machine Learning to Predict Test Coverage

Test coverage is an important metric within test management, and as technology evolves, we‘re able to leverage new trends to predict coverage. Weka, an open source suite of machine learning software, can take your test management beyond spreadsheets to the latest AI technologies, letting you predict your test coverage earlier with greater accuracy.

Bhavani Ramasubbu

Better Software Magazine Articles

The Amazing Benefits of Integrated ALM Tools

For years, developers have struggled with using individual lifecycle management tools, but no longer! Joe Farah walks you through a history and benefits of an integration of ALM tools that every team should seriously consider.

Joe Farah
Why NoSQL Matters and What Configuration Management Experts Need to Know About It

NoSQL is a new approach to data storage that addresses many problems associated with relational databases. Many highly popular websites—including Facebook, Netflix, and Digg—are using NoSQL to crunch large volumes of data. Eugene Dvorkin gives us insight into why NoSQL is important and what CM experts need to know about it.

Eugene Dvorkin
Practical Security Testing for Web Applications

It seems like every week the press has yet another story about security breaches or stolen data at some of the world’s largest companies or government agencies. Sometimes the responsibility for ensuring thorough security resides with an IT security group, and other times it gets outsourced altogether. The responsibility seldom falls to testing teams. However, this is changing. Having trained and experienced testers hunt for security bugs will make web applications safer from hackers and will further protect consumers, corporate assets, and brands.. Scott Aziz offers some practical techniques that will help you get started.

Scott Aziz
Traditional Test Engineering, Your Days Are Numbered

In the first installment of this article, Dr. James Whittaker discussed turning testing on its head—to revitalize and improve the value of late-stage testing. James also discussed ideas behind empowering your dogfooders, testers, and the crowd to significantly and efficiently improve software quality. In part two, Jason Arbon discusses the research and engineering experimentation behind realizing these ideas into new tools and processes.

Jason Arbon

Interviews

Greg Paskal Data Visualization in Test Automation: A Conversation with Greg Paskal
Video

Greg Paskal, test automation lead at Ramsey Solutions, talks about data lakes and how to effectively use data visualization. Done well, data visualization should help practitioners, managers, and stakeholders easily consume, understand, and act on the information the visual displays.

Owen Gotimer
Mining a Data Lake to Improve Analysis of Your Test Automation Data: An Interview with Greg Paskal
Video

In this interview, Greg Paskal, a technology innovator in quality assurance, discusses a new open source tool from Elastic Stack that creates a “data lake” that can be mined to analyze the data coming from test automation on a more effective level than pass/fail. 

Jennifer Bonine
Automated Security Scanning in Your Delivery Pipeline: An Interview with Matt Grasberger
Video

Matt Grasberger, a software consultant at Coveros Inc., discusses shifting left security scans that you can do quickly and easily and the open source tools that are available to utilize early in the application development process to ensure you are not introducing new vulnerabilities.

Jennifer Bonine
Anj Dubey Embedding Performance Engineering into CI/CD: An Interview with Anj Dubey
Video

In this interview, Anj Dubey, director of performance engineering for McGraw-Hill Education, discusses the need to shift left and embed your performance engineering into your CI/CD pipeline in order to ensure that every line of code is going to meet your performance requirements.

Jennifer Bonine

Conference Presentations

STARCANADA Strategies for Selecting the Right Open Source Framework for Cross-Browser Testing
Slideshow

Organizations today are required to test their web application across browsers and mobile devices. Choosing the right framework is a matter of organizational as well as technical fit. With a plethora of test frameworks that span across practices such as behavior-driven development, unit...

Eran Kinsbruner
STARWEST 2018 Managing BDD Automation Test Cases inside Test Management Systems
Slideshow

Behavior-driven development (BDD) has been around for a while and is here to stay. However, the added abstraction levels pose a technical problem for writing and managing tests. While BDD does a great job of marrying the nontechnical aspect of test writing to the technical flow of an application under test, keeping this information under source control becomes problematic. Frameworks such as JBehave, Cucumber, or Robot give subject matter experts that additional ability to write tests, but they are often restricted access from them; because people treat test cases as code, they get stored in source control repositories. Additionally, these given-when-then steps soon can grow to an extent where they are difficult to manage without an IDE, and nontechnical people lose interest. Using management tools, Max Saperstone shows how to manage these nontechnical steps and keep them in sync with the automaton in tools such as Git.

Max Saperstone
STARWEST 2018 Risk Based Testing: Communicating WHY You Can't Test Everything
Slideshow

The idea of testing everything is a popular one—in fact many stakeholders think that’s exactly what their quality teams do. It usually isn’t and can’t be; but how can teams communicate this? Join Jenny Bramble as she helps to pave the way using the language of risk-based testing. By defining risk in two simple parts, the team and project have a tangible and usable metric. She shares how to apply this metric and use it to determine where the team should focus testing, making it more effective and efficient whilst communicating that effort through the creation of a risk matrix. As a result, risk becomes the right language for the team to communicate clearly and concisely with everyone involved in the project by using agreed-upon words and definitions. Take away a set of tools that can be used to facilitate both better testing and better communication though precise use of language and risk matrixes.

Jenny Bramble
STARWEST 2018 Automate Your Application Test Deployments with Docker
Slideshow

In a busy world, testing teams are asked to adopt new approaches to increase speed and flexibility of change. What methods and tools can help? Artem Golubev has seen many testing teams being told to use Docker. But for testers, this brings confusion. What it Docker and why is Docker useful to testers? How can Docker be used to increase confidence in our releases? To help you answer those questions, Artem shares his experience using this popular tool and approach. Starting with terminology Artem shares what is meant by Dockerfile, Docker Image, Docker Container, Compose, Kubernetes, and then explains the advantages and limitations of Docker. He shows how to build a Docker-based deployment in this session and gives Hands-on help. He shows how to add Docker to your own current project on your own machine and how-to setup Kubernetes on Google Compute Cloud.

Artem Golubev

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