Containers Expo Blog Authors: Gordon Haff, Pat Romanski, Flint Brenton, Elizabeth White, Yeshim Deniz

Related Topics: @DevOpsSummit, Linux Containers, Containers Expo Blog

@DevOpsSummit: Blog Feed Post

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

How to Boost Enterprise Software Testing Predictability
By Simon King

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
The foundation of enterprise software testing predictability is built on consistent practices, processes, and tools. Improving the predictability of software testing for a single team is difficult; doing so across multiple enterprise teams working on multiple features is exponentially more difficult.

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
It is easy to say that you should ensure everyone is using consistent practices, processes, and tools, but in the enterprise, the reality is that teams will be different. Some development teams may be using Agile practices, while others may be following Waterfall practices. Some of the Agile teams may be practicing Kanban while others are SCRUM.

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
You must measure software testing predictability if you hope to improve it. No one has a simple answer or quick method for improving predictability across all these facets. The only way to start improving predictability across a complex system is to measure it, identify the biggest barriers, and resolve those barriers. Then rinse and repeat until you are executing within a suitable threshold.

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
A measurement is only as insightful as the context that is provided alongside it. What if I tell you the temperature is eighty-eight degrees? Am I talking about my temperature, my six-month-old daughter’s temperature, or the outside temperature? If I’m talking about the outside temperature, where am I and what time of year is it? What is the historical temperature for this place and time of year? Finally, how reliable is my measurement? Is it coming from the weather service or an old thermometer sitting in the shade of my house?

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.

Measuring Predictability
There are three aspects to measuring enterprise software testing predictability:

1. Throughput
To determine your software testing predictability, you need to know your throughput of defects found by phase, fixes by phase, and bugs injected into production. You also need to be able to view these items in relation to the number of requirements. Once again, you need to be able to slice the information by teams, features, releases, and portfolios.

2. Throughput Variation
Next, you want to look at the historical trends of the throughput variation. The more consistent your throughput values are month-over-month, the higher your predictability is.

3. Single Source of Truth
This type of reporting is next to impossible if you are using spreadsheets for software testing reporting or older test management tools. You need a central repository for storing testing data. A modern enterprise test management tool will enable you to collect, store, and analyze these types of measures.

Missing deadlines and commitments is stressful. Boosting your software testing predictability is paramount for your team’s success and sanity. As crucial as predictability is, it is just one component of improving your overall enterprise software testing performance. Check out this webinar to learn how to improve enterprise software testing.

The post How to Boost Enterprise Software Testing Predictability appeared first on Plutora.

Read the original blog entry...

More Stories By Plutora Blog

Plutora provides Enterprise Release and Test Environment Management SaaS solutions aligning process, technology, and information to solve release orchestration challenges for the enterprise.

Plutora’s SaaS solution enables organizations to model release management and test environment management activities as a bridge between agile project teams and an enterprise’s ITSM initiatives. Using Plutora, you can orchestrate parallel releases from several independent DevOps groups all while giving your executives as well as change management specialists insight into overall risk.

Supporting the largest releases for the largest organizations throughout North America, EMEA, and Asia Pacific, Plutora provides proof that large companies can adopt DevOps while managing the risks that come with wider adoption of self-service and agile software development in the enterprise. Aligning process, technology, and information to solve increasingly complex release orchestration challenges, this Gartner “Cool Vendor in IT DevOps” upgrades the enterprise release management from spreadsheets, meetings, and email to an integrated dashboard giving release managers insight and control over large software releases.

@ThingsExpo Stories
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
DXWordEXPO New York 2018, colocated with CloudEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
DXWorldEXPO LLC announced today that "Miami Blockchain Event by FinTechEXPO" has announced that its Call for Papers is now open. The two-day event will present 20 top Blockchain experts. All speaking inquiries which covers the following information can be submitted by email to [email protected] Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expe...
DXWorldEXPO | CloudEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of bus...
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, we provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading...
Cloud Expo | DXWorld Expo have announced the conference tracks for Cloud Expo 2018. Cloud Expo will be held June 5-7, 2018, at the Javits Center in New York City, and November 6-8, 2018, at the Santa Clara Convention Center, Santa Clara, CA. Digital Transformation (DX) is a major focus with the introduction of DX Expo within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive ov...
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...
DXWorldEXPO LLC announced today that ICOHOLDER named "Media Sponsor" of Miami Blockchain Event by FinTechEXPO. ICOHOLDER give you detailed information and help the community to invest in the trusty projects. Miami Blockchain Event by FinTechEXPO has opened its Call for Papers. The two-day event will present 20 top Blockchain experts. All speaking inquiries which covers the following information can be submitted by email to [email protected] Miami Blockchain Event by FinTechEXPO also offers s...
With tough new regulations coming to Europe on data privacy in May 2018, Calligo will explain why in reality the effect is global and transforms how you consider critical data. EU GDPR fundamentally rewrites the rules for cloud, Big Data and IoT. In his session at 21st Cloud Expo, Adam Ryan, Vice President and General Manager EMEA at Calligo, examined the regulations and provided insight on how it affects technology, challenges the established rules and will usher in new levels of diligence arou...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
Internet-of-Things discussions can end up either going down the consumer gadget rabbit hole or focused on the sort of data logging that industrial manufacturers have been doing forever. However, in fact, companies today are already using IoT data both to optimize their operational technology and to improve the experience of customer interactions in novel ways. In his session at @ThingsExpo, Gordon Haff, Red Hat Technology Evangelist, shared examples from a wide range of industries – including en...