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How to Boost Enterprise Software Testing Predictability | @DevOpsSummit #DevOps #ContinuousTesting
The foundation of enterprise software testing predictability is built on consistent practices, processes, and tools
By: Plutora Blog
Apr. 20, 2017 02:00 PM
How to Boost Enterprise Software Testing Predictability
Are you tired of slipping deadlines and missing commitments? Do you feel like the consistency of Software Testing is out of your control? Here is how to improve the predictability of software testing across multiple teams and projects.
Enable Consistent Practices, Processes, and Tools
Software testing predictability relies on the consistency of requirements management, code quality, test management, defects management, test environment management, and much more. The teams that support these activities have the largest impact on their predictability.
If multiple enterprise teams have inconsistent practices, processes, or tools, then these activities will be inconsistent. In order to enable predictable software testing, you have to enable your teams to have consistent practices, processes, and tools.
Standardizing Across Multiple Development Methodologies
From a tooling standpoint, different development teams may be using Rally, JIRA, spreadsheets, or Post-it Notes. While standardizing these methodologies and tools is clearly optimal, it may be unrealistic to expect Software Testing to drive those changes.
It is essential that software testing practices, processes, and tools support multiple development methodologies and tools. Support the testing at the team level that makes the teams most productive, and enable the management above the team level to be consistent.
This may sound theoretical, but I assure you it is pragmatic. Empowering teams to do work the way that is best for them while standardizing the management above those teams is exactly what methodologies like the Scaled Agile Framework (SAFe) and enterprise ALM platforms have done for development.
Your organization doesn’t have to be committed to SAFe to use its guidance for improving software testing management consistency. You also don’t have to use guidance from SAFe or any other methodology. You can determine which consistent practices you want to support. Modern enterprise test management tools, just like ALM tools, also help you standardize the management of multiple teams, methodologies, and tools.
Measure Software Testing Predictability
It is key in the enterprise to be able to roll up individual team progress across different dimensions such as project, release, feature, or portfolio. You gain better insight faster by viewing the predictability of multiple teams across a release or feature.
It is also critical that you can drill down across different dimensions such as individual, team, project, or feature. For example, if you are viewing a chart of the predictability of testing across features and you see that one feature has far more defects than the rest, you would want to drill down to see how many defects are being found across the different teams that support that feature.
When you drill down, you might see that a particular team has far more defects than the rest of the teams. You will want to drill into that team to determine what the issue is. Now that you have pinpointed where the biggest issues are, you should investigate what is causing the issues and how you can resolve the situation. Over time your predictability will stabilize.
Capture Consistent Historical Insight
To measure software testing predictability you have to have reliable measurements across all teams, features, releases, and portfolios throughout a significant period of time. This includes collecting the number of requirements, defects, fixes, and more. You also need to be able to slice this information by teams, features, releases, and portfolios, so that you can know how many defects a team typically finds.
2. Throughput Variation
3. Single Source of Truth
The post How to Boost Enterprise Software Testing Predictability appeared first on Plutora.
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