Automation

Articles

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
Group of people holding trophy that says "2018" Top 10 StickyMinds Articles of 2018

With the rise of technology like AI and practices like DevOps, teams everywhere are looking for ways to speed up testing without sacrificing quality. The articles in 2018 reflect that, with the most popular topics being shifting testing left, optimizing tests for continuous integration, and the future of software testing. If you're looking for cutting-edge testing techniques, check out this roundup.

Beth Romanik
Testers looking at graphs of performance test results Responsibly Reporting Performance Test Results: Trends, Noise, and Uncertainty

In order for performance test results to have value, you should report them in context. There are two main considerations: How do these compare to previous results? And how can we provide early reports on performance while emphasizing that these are preliminary results that may change significantly as we progress? Here are some ideas for responsible reporting.

Michael Stahl
Gauge with a needle in the green zone, showing good performance 7 Simple Tips for Better Performance Engineering

Rigorous practices to reinforce performance and resilience, and testing continuously for these aspects, are great ways to catch a problem before it starts. And as with many aspects of testing, the quality of the performance practice is much more important than the quantity of tests being executed. Here are seven simple tips to drive an efficient performance and resilience engineering practice.

Franck Jabbari
Testing feedback loop 5 Key Factors to Achieve Agile Testing in DevOps

Part of the path to DevOps requires adoption of agile methodologies. What does it mean for testing when you switch from the traditional waterfall model, with a few long release cycles per year, to the agile model, with changes occurring every two weeks? Here are five key factors to achieve the agile software testing necessary in DevOps.

Denise Rigoni
Graph showing how testing earlier costs less and means fewer overall defects The Shift-Left Approach to Software Testing

The earlier you find out about problems in your code, the less impact they have and the less it costs to remediate them. Therefore, it's helpful to move testing activities earlier in the software development lifecycle—shifting it left in the process timeline. This article explores the shift-left methodology and how you can approach shifting left in your organization.

Arthur Hicken
Coding brackets Mob Programming for Low-Code and No-Code Development

In low-code and no-code development, as the names suggest, developers do less actual coding—they create applications through GUIs and configuration instead of traditional programming. But mob programming is still a useful practice, because the entire team can clarify requirements, discuss development and test strategies, and implement the best ideas. Everyone gets to learn and contribute.

Arun Kumar Dutta
Dial with the needle moving from red to green A Better Way of Reporting Performance Test Results

Reporting the results of functional tests is relatively simple because these tests have a clear pass or fail outcome. Reporting the results of performance testing is much more nuanced, and there are many ways of displaying these values—but Michael Stahl felt none of these ways was particularly effective. He proposes a reporting method that makes performance test results easy to read at a glance.

Michael Stahl
Graph showing boundary values Using Equivalence Partitioning and Boundary Value Analysis in Black Box Testing

Equivalence partitioning and boundary value analysis are two specification-based techniques that are useful in black box testing. This article defines each of these techniques and describes, with examples, how you can use them together to create better test cases. You can save time and reduce the number of test cases required to effectively test inputs, outputs, and values.

Josh Giller
Racecar on a track Test Faster: How We Cut Our Test Cycle Time in Half

In just a year, one test team reduced its test cycle by more than 50 percent. It took analysis, planning, and effort—first they looked into how they spent their time, and then they questioned whether they could reduce time in any of those areas. Once they knew where they could be more efficient, they could start tackling their blockers. Here's how you can, too.

John Ruberto

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