Test Design Principles and Helpful Tips

Learn how to maximize your test design skills and navigate the trickier aspects of Hexawise functionality.

18 articles in this collection
Written by Justin Hunter, Ivan Filippov, Scott Johnson and 1 other

General

Why do most software tests suck?

Describes common challenges of manual scenario design that drive your testing costs up.

Written by Justin Hunter
Updated over a week ago

What do well-designed software tests look like?

The qualities found in a high-quality test case.

Written by Scott Johnson
Updated over a week ago

Prioritization: how should we get the biggest "bang for the buck" in a limited number of software tests?

Why you should consider investing in intelligent test design to maximize the overall testing ROI.

Written by Conor Wolford
Updated over a week ago

Best Practices for Effective Software Testing

Overview of the best practices that should be adopted and followed among QA/QE teams when it comes to test case design.

Written by Conor Wolford
Updated over a week ago

Manage regression tests at the "model level" to save time and avoid ever-increasing numbers of tests

Learn about the benefits of model-based testing for test creation and maintenance.

Written by Scott Johnson
Updated over a week ago

Important lessons from "20 Questions"

How prioritizing information gains can be applied to software testing.

Written by Justin Hunter
Updated over a week ago

Hexawise-Specific

Follow the "Goldilocks Rule" to determine the correct model scope

This lesson provides guidance about how much detail to include in your scenarios depending on the testing objectives.

Written by Justin Hunter
Updated over a week ago

Use Equivalence Classes or similar methods rather than long lists of Values

Parameter definition strategies for creating the most efficient set of Hexawise tests.

Written by Ivan Filippov
Updated over a week ago

Do not include Expected Results as Hexawise Parameters

Learn about the risks of including outcomes as model parameters in Hexawise.

Written by Conor Wolford
Updated over a week ago

How to Handle Expected Results in Hexawise

While we don't recommend using Expected Results as Parameters, the approach can have merits. This article will explore options & tradeoffs.

Written by Ivan Filippov
Updated over a week ago

Different types of negative tests need to be handled differently when using Hexawise

Learn about our classification of the negative scenarios and the strategies to create those in Hexawise.

Written by Justin Hunter
Updated over a week ago

Hexawise Process - Sharing and Maintenance

Tips and best practices for the long-term management of Hexawise models.

Written by Ivan Filippov
Updated over a week ago

Defect Analysis After Hexawise

How to identify the defect reason after you move to combinatorial testing.

Written by Ivan Filippov
Updated over a week ago

Tips

Start by creating parameters for the 5 most obvious things that will be varied

Helpful trick to get past the blank Parameters screen and kickstart your modeling.

Written by Conor Wolford
Updated over a week ago

All-purpose troubleshooting tip when test creation stalls: rename a test input and recalculate solutions

A trick to ensure that Hexawise never gets "stuck".

Written by Conor Wolford
Updated over a week ago

Think carefully about which outcomes you want your tests to cover

Analyze the expected outcomes you need to verify in order to determine the optimal model scope and its feature settings.

Written by Ivan Filippov
Updated over a week ago

How to Deal with "Select All That Apply" Scenarios

An explanation for how to best handle a common test design challenge related to dynamic cardinality.

Written by Justin Hunter
Updated over a week ago

How to Fix "No Possible Values" Faster

A strategy for identifying the cause of "no possible value" appearing in your tests and for fixing the corresponding constraint conflict.

Written by Conor Wolford
Updated over a week ago