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 * Three Critical Considerations for Successful PLM Testing



Software Testing


THREE CRITICAL CONSIDERATIONS FOR SUCCESSFUL PLM TESTING

2024-07-03 3 min read

Product Lifecycle Management (PLM) systems support vital functions throughout
successful high-tech manufacturing, software, and electronics companies.
Initially beneficial for engineering teams, PLM now benefits every department
involved in a product’s lifecycle by providing the right information in a timely
fashion and assisting in production, planning, control, and revenue strategies.

Just as the ripple effect of PLM’s benefits can be felt throughout an
organization, any deployment errors can have a widespread negative impact on
business operations. So it’s vital that PLM software is installed, configured,
and integrated correctly.

This means that software testing is key when it comes to deploying and managing
any PLM system, with three important aspects to consider:


1. ESTABLISHING ACCURACY THROUGHOUT THE PLM LANDSCAPE

To ensure that the PLM system configurations and custom business logic work as
expected, accurate execution is essential. This isn’t only about configuration
and testing of the core PLM system. The PLM system’s behavior, logic and data
will be integrated into other parts of the ecosystem, so ensuring these
integrations are consistent and that the values and triggered logic inside these
third-party systems behave correctly is critical.

Deploying a PLM system should ensure consistency, with a data point only being
entered once and then referenced across every system.


2. ENSURING CONSISTENCY DURING CHANGES, UPDATES AND UPGRADES

Changes to PLM logic or supporting systems have the potential to introduce data
errors, which can rapidly cause supply chain and compliance problems.

System updates, new features and security patches mean newer versions of the PLM
system and third-party systems must be installed, with the impact not always
clear. Hence the need for confirmation and validation, usually via regression
testing, before changes can go into production.


3. MAINTAINING PERFORMANCE AND AVAILABILITY TO OPTIMIZE USABILITY

Often a large number of users depend on PLM system capabilities, so it’s vital
to know that a deployed system will support the load and needs for the expected
volume of users. Lack of availability or slow response times can reduce
productivity and become frustrating for users.

Once a system is seen to be capable of supporting the load and needs of users,
proactive monitoring is needed to detect performance regressions and
availability dropouts, and ensure continued functionality and user satisfaction.


SOLVING THE CHALLENGES OF PLM TESTING

With PLM systems made up of such an intricate mix of applications in diverse
environments, rigorous testing is needed to ensure software quality. But this is
time consuming, and it can feel less important compared with testing
customer-facing software.

So how can the vital but often frustrating amount of time spent on PLM testing
and validation be cut down? Right now, tests that cover both initial deployment
and ongoing regression scenarios are generally carried out manually. Even
automated regression testing relies on manual processes.

With the significant costs and delays involved in manual testing, not to mention
the more limited test coverage, there’s no denying it makes sense to move from a
manual testing strategy to an automated one.


AUTOMATING THE ENTIRE PLM TESTING PROCESS

Embracing test automation for PLM software increases testing efficiency and
frees teams up to focus on other important work, hitting release dates earlier
and enhancing agility.

But before introducing a PLM software testing tool, an organization needs to be
sure the tool hits several key requirements:

 * Comprehensive, end-to-end coverage, including functional testing of the core
   code and any customisations, to provide complete confidence in testing
   quality,
 * Testing has to happen quickly enough for tests to be completed within the
   sprint timescale, so teams can stay on track with their release schedules,
 * The platform must be easy and intuitive to use, with testers able to script
   and automate manual scripts without any issues,
 * DevOps capabilities are needed for a simplified and streamlined process.
 * Fast and comprehensive testing with Keysight’s Eggplant Test

Testing PLM processes in design and manufacturing industries is especially
challenging thanks to the graphical nature of design applications, along with
the complex and wide-ranging additional systems involved.

Eggplant Test enables end-to-end testing in all of these systems to replicate
the perspective of a real user. Automation and visual verification can be
undertaken no matter how much visual complexity is involved, from interacting
with sliders and pop-ups to counting holes on a bracket. Test any platform or
technology, including web, mobile, native apps, custom apps, PDF documents, IIoT
and ARKit.

No connection to the object (or API) layer is needed, so studying the app’s code
structure isn’t required. Tests are designed to reflect users' interactions with
the applications.


EGGPLANT TEST ENSURES ACCURACY ACROSS THE PLM LANDSCAPE

Computer-aided design (CAD) software creates a “digital twin” of a physical
product, so designers can create and modify designs digitally. Eggplant Test
enables automated testing of this design manipulation with intuitive commands
that mimic user interactions.

With a low-code, natural language-like interface, software testing can be
carried out by users who don’t have programming skills. And when design changes
happen, Eggplant Test verifies them without manual intervention.

Beyond CAD systems, Eggplant Test can validate ancillary elements to PLM
ecosystems including PDFs, spreadsheets and database entries, enhancing data
consistency, reliability and accuracy.


GUARANTEEING CONSISTENCY DURING CHANGES, UPDATES AND UPGRADES WITH EGGPLANT TEST

The only constant is change, especially with reliance on cloud/SaaS systems. Add
in operating system updates, security patches and upgrades, and we know that the
environment will change. The solution is to define a core set of tests,
supplemented by regression packs.

Eggplant Test can cover many systems in one test case, so there’s no need for
manual testing of any one system, or for manual testing to cover the gap or
interaction between systems.


EGGPLANT TEST MAINTAINS PERFORMANCE AND AVAILABILITY FOR OPTIMAL USABILITY

Basic monitoring can check system responsiveness, but this doesn’t address the
needs of the user in the way that Eggplant Test does. Users need non-functional
elements such as model loading times and data transfer efficiency to be
optimized.

Accurate data is provided via Eggplant Test by understanding the visual status
of the screens. Eggplant Test provides the ability to:

 * Define the expected user outcome, such as full model visibility,
 * Record accurate and detailed timing data,
 * Compare performance against baselines or thresholds, with options for alerts.
 * Future-proof PLM test automation while increasing operational efficiency

As teams are under even more pressure, and systems under test are continuously
evolving, Eggplant Test has the potential to increase testing coverage and speed
up testing, freeing teams up to be deployed in other areas.

In embracing the full power of Eggplant Test, customers have seen outcomes
including turning 15 days of manual testing into an overnight test, moving from
completing a 10-hour test event every three days to running a 24-hour test every
day, and experienced testers with little automation experience embracing the
solution and sharing their appreciation at how it improves the way they work.

Automated PLM testing isn’t a “nice to have” anymore. Eggplant Test is the
sensible solution for improving test quality, reducing risk, and increasing
testing efficiency.

Read more about how Eggplant can solve your PLM testing challenges here.




BLA SWEENEY


PRODUCT MARKETING MANAGER


 * #Future technology
 * #Software
 * #Software Test Automation
 * #AI




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