New Trends in Agile Test Management

New Trends in Agile Test Management

New Trends in Agile Test Management

“It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is the most adaptable to change” – said Charles Darwin about the evolution of species. But the same precept holds true about software in the face of rapid digital transformation. The software development landscape is now increasingly complex, competitive, customer-driven and fast paced. and governed by new trends and technology.  

To survive this digital evolution, DevOps and Agile teams are the key drivers to the DX initiatives led worldwide. As the lines between development and operations are blurring, sprints are getting shorter, there is a higher expectation both in terms of speed and quality of software deliverables. 

Not surprisingly, DX initiatives – DevOps and Agile have changed the way we test. DevOps is now really DevTestOps and for teams to be truly agile, test management is the vital link in the success of DevOps. You require TestOps to match the pace of DevOps and testing early and often – breaking the silos.

In fact, the World Quality Report led by Capgemini shows that there is increased investment in the QA and Test function reported by 90% of US and 69% percent of Canadian survey participants in the past four years.

Challenges to DevOps and DevTestOps

However, going Agile and being Agile are totally different stories and organizations face a number of implementation challenges when trying to embrace the DevOps and Agile way. Shorter sprints require better collaboration and integration, interoperability of tools. There are many gaps between conventional test management and modern Agile dev approach – with outdated tools and practices being a primary roadblock.

There are numerous challenges in the SDLC at every stage and communication gaps at each level. The traditional Agile current allows for delay in testing, leaving little time for testing and improvement leading to buggy releases and poor customer satisfaction. With the Shift left Agile concept – the focus is on quality, prevention instead of detection, and testing as early and as often as possible. The need for automation, and BDD is higher. Gets the product faster to the market.

So, test management to be truly Agile needs, unified solutions, frequent test runs and more feedback, CI that leads to bi-directional sharing. But the new trends demand new tools and fresh approach. How to resolve these challenges? The new tenets of this approach demand design thinking, Continuous Integration and Continuous Testing leading to higher visibility, traceability, better reporting and insights, more automation and behavior driven testing, prescriptive and predictive analytics in real time to shorten the development cycle.

What best practices do we recommend?

Find out how you come closer to achieving a seamless DevTestOps practice and build better and smarter products by using the recommended practices.

What are some tool selection criteria that you can use to make sure that your test management is in tune with the above-mentioned best practices. These include integration, cloud-based solutions, plugging in automation, ability to plug in your automation, higher coverage among many others.

We follow up by tips and tricks on how teams should leverage their test management suite to get the most out of it, and reduce testing time and effort and make smarter choices. Right from reusability of test cases, modularity of the solution, ability to create test suites and track the quality of software developed build by build.

Learn more about how you can implement the best practices with one of our latest tools and how it resolved the most pressing Agile Test Management needs for one of our multinational clients.

New Trends in Agile Test Management

“It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is the most adaptable to change” – said Charles Darwin about the evolution of species. But the same precept holds true about software in the face of rapid digital transformation. The software development landscape is now increasingly complex, competitive, customer-driven and fast paced. and governed by new trends and technology.  

To survive this digital evolution, DevOps and Agile teams are the key drivers to the DX initiatives led worldwide. As the lines between development and operations are blurring, sprints are getting shorter, there is a higher expectation both in terms of speed and quality of software deliverables. 

Not surprisingly, DX initiatives – DevOps and Agile have changed the way we test. DevOps is now really DevTestOps and for teams to be truly agile, test management is the vital link in the success of DevOps. You require TestOps to match the pace of DevOps and testing early and often – breaking the silos.

In fact, the World Quality Report led by Capgemini shows that there is increased investment in the QA and Test function reported by 90% of US and 69% percent of Canadian survey participants in the past four years.

Challenges to DevOps and DevTestOps

However, going Agile and being Agile are totally different stories and organizations face a number of implementation challenges when trying to embrace the DevOps and Agile way. Shorter sprints require better collaboration and integration, interoperability of tools. There are many gaps between conventional test management and modern Agile dev approach – with outdated tools and practices being a primary roadblock.

There are numerous challenges in the SDLC at every stage and communication gaps at each level. The traditional Agile current allows for delay in testing, leaving little time for testing and improvement leading to buggy releases and poor customer satisfaction. With the Shift left Agile concept – the focus is on quality, prevention instead of detection, and testing as early and as often as possible. The need for automation, and BDD is higher. Gets the product faster to the market.

So, test management to be truly Agile needs, unified solutions, frequent test runs and more feedback, CI that leads to bi-directional sharing. But the new trends demand new tools and fresh approach. How to resolve these challenges? The new tenets of this approach demand design thinking, Continuous Integration and Continuous Testing leading to higher visibility, traceability, better reporting and insights, more automation and behavior driven testing, prescriptive and predictive analytics in real time to shorten the development cycle.

What best practices do we recommend?

Find out how you come closer to achieving a seamless DevTestOps practice and build better and smarter products by using the recommended practices.

What are some tool selection criteria that you can use to make sure that your test management is in tune with the above-mentioned best practices. These include integration, cloud-based solutions, plugging in automation, ability to plug in your automation, higher coverage among many others.

We follow up by tips and tricks on how teams should leverage their test management suite to get the most out of it, and reduce testing time and effort and make smarter choices. Right from reusability of test cases, modularity of the solution, ability to create test suites and track the quality of software developed build by build.

Learn more about how you can implement the best practices with one of our latest tools and how it resolved the most pressing Agile Test Management needs for one of our multinational clients.

Infographics Test Automation for DevOps

Accelerating Test Automation for DevOps

Digital Transformation Continues to Drive
IT Strategy and Redefines Software Quality

Top 7 Challenges in Software Development

Why is There a Need for Automation?

What Are the Top Benefits of Automation?

What are the Different Trends in Automated Testing?

What is the Split between Automated and Manual Testing?

What ratio of Manual versus Automation Testing do you want to achive in the next 5 years?
(Manual:Automation)

Our Automation Stack

Test automation tool for web, mobile and
API testing.

Open source framework
test automation.

Streamlined / Structured Approach

Abstracts the technical implementation away from the operational components to support shift-left release cycles via in-sprint

Reusable Test Assets

Highly maintainable and repeatable tests utilize reusable test assets, proper modularity and semantic structure.

Data-driven Testing

Run a single test case against multiple test data sets provided through CSV, XML, JSON, Microsoft Excel or your own database.

Increased Collaboration with Manual
Testers, Developers and
Business / Project Owners

Behavior-driven and keyword-driven test authoring make it easier to work together.

Unified Scripting Across Mobile Platforms

Support web, mobile (including native, hybrid, mobile web) and web service test automation on a single platform to save time and cost.

Integrations with QMetry Automation Studio

Open Source

Tools


Test Management

Platforms


DevOps

Tools


Mobile Device

Cloud Solutions


QMetry vs Zephyr

QMetry vs Zephyr

Features
  • Cloud, Server & Data Center
  • Inside JIRA
  • Automation Tool as part of ecosystem
  • Test Authoring
  • Reusability of test assets
  • Smart Autosuggest
  • Map test cases to stories
  • View Test Run History from Story level to test case level
  • Link automated test steps to test cases to view comprehensive results together
  • Multi-level audits of test assets
  • Test Execution
  • Support to multiple Platforms / Environments at execution level
  • Friendly Excel View on Execution Screen for Test Engineers for improved update efficiency
  • One click update of test results (pass/fail)
  • Quick view filters to select records in focus
  • Rebuild Test Runs for incremental changes to reduce build time & improve reusability
  • Assign Test cases / assets to test engineers individually or in – bulk.
  • Bulk update of results
  • Configurable Result View
  • View Automation results & exceptions at execution.
  • Reports
  • Dynamic Test Execution Chart
  • All reports provide chart view or table view
  • All reports can be exported via excel
  • Test Coverage Report
  • Interactive Traceability report to support exploratory mind map view
  • Atlassian Cloud security compliant
  • Attach error screenshots as reference
  • Multilingual support

Zephyr

  • Cloud, Server & Data Center

  • Inside JIRA

  • Automation Tool as part of ecosystem

  • Reusability of test assets

  • Smart Autosuggest

  • Map test cases to stories

  • View Test Run History from Story level to test case level

  • Link automated test steps to test cases to view comprehensive results together

  • Multi-level audits of test assets

  • Support to multiple Platforms / Environments at execution level

  • Friendly Excel View on Execution Screen for Test Engineers for improved update efficiency

  • One click update of test results (pass/fail)

  • Quick view filters to select records in focus

  • Rebuild Test Runs for incremental changes to reduce build time & improve reusability

  • Assign Test cases / assets to test engineers individually or in – bulk.

    *
  • Bulk update of results

  • Configurable Result View

  • View Automation results & exceptions at execution.

  • Dynamic Test Execution Chart

  • All reports provide chart view or table view

  • All reports can be exported via excel

  • Test Coverage Report

  • Interactive Traceability report to support exploratory mind map view

  • Reusability of test assets

  • Attach error screenshots as reference

  • Multilingual support

*   Not a comprehensive feature.

# It will be released in the next build.