Success Story High Tech

Wireless Location-Based Services Firm Overcomes QE Detours

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This company provides automotive manufacturers with comprehensive mobile location services to deliver custom connected car experiences.

Search engine optimization was a core capability for enabling the latest connected car capabilities, but slow and inefficient quality engineering (QE) cycles were severely impacting the company’s time-to-market for these new services.

  • Founded in 1999

    Founded in 1999

  • Focused on building the largest network of connected cars on the road

    Focused on building the largest network of connected cars on the road

  • Awarded top navigation provider in the small and compact premium category by J.D. Power

    Awarded top navigation provider in the small and compact premium category by J.D. Power

QE solutions for mobile location services

Apexon worked with the company beginning in 2015 for over two years. After performing a thorough analysis of all of the company’s testing and QA processes, Apexon developed a QE solution that enabled the company to execute all test cases on multiple platforms for multiple regions and countries — with a single click.

the Results

Key Outcomes

Comprehensive QE Capability
Comprehensive QE
Capability

Ability to test code on all platforms and regions

60% Faster Testing Cycles
60% Faster
Testing Cycles

Due to more efficient and automated processes

Increased Confidence in Testing
Increased Confidence
in Testing

Fewer expert resources needed for testing with new processes for development and code check-in automated processes

Our methodology

how
we did it

Apexon works with companies across the digital lifecycle.

Go Digital
Go Digital

Accelerating the delivery of new digital initiatives with confidence

Be digital
Be digital

Creating the infrastructure and foundation to scale digital initiatives

Evolve Digital
Evolve Digital

Leveraging data and analytics to continuously improve digital delivery processes

Launch & Experiment custom framework to test search engine

Automate & Accelerate custom framework to test search engine

Be Intelligent & Autonomous

Launch & Experiment

Enable digital adoption in a quick, and agile mannertransform the patient experience

Apexon assessed the company’s existing QE processes and infrastructure to fully understand the problems and requirements before recommending a solution.

Automate & Accelerate

Build digital infrastructure and foundation for enterprises to scaledigitization on patient Experience

A custom framework enabled minor changes to the search engine SDK or API without significantly increasing QE efforts.

A real-life environment-enabled code testing on all platforms for all regions.

Be Intelligent & Autonomous

Leverage data engineering to make strategic decisions and get digital right every time

The Apexon team developed a metrics dashboard so the company could monitor and analyze performance issues in real-time.

The challenge
SLOW AND INEFFICIENT TESTING AND QA METHODS

Performance measurement was a major roadblock to optimizing the company’s search engine SDK and APIs.

Existing testing and QA methods were manual and inconsistent, delaying new releases and creating quality problems in market.

There were several factors involved including:

Long testing cycles
Long testing cycles

Dependency on code check-in to measure performance resulted in longer testing cycles

Slow performance measurement
Slow performance measurement

Taking two days on average to measure performance once new code was checked-in

Difficult to make updates
Difficult to make updates

Even minor changes to the search engine SDK or API significantly increased these testing efforts

Slow coding
Slow coding

Measurement was limited to code for one geographic region at a time

Lack of consistency
Lack of consistency

Performance varied significantly in production versus lab environments

The Solution

Better qe and testing framework

The company engaged Apexon to create a new QE/testing framework that would speed testing cycles and provide more accurate results.

Apexon started with a structural approach to break down the company’s current testing capability into smaller problems so that each issue could be addressed effectively.

The Apexon solution included the following key components:

Custom testing framework

Custom testing framework

A custom framework to test search engine SDK and APIs on platforms such as QNX and Android.

Real-time testing

Real-time testing

The ability to test cases in real-time and run tests at unit test level rather than at code check-in.

Real-life test environment

Real-life test environment

A controllable real-life environment to test variables such as CPU memory, network conditions, and more.

Metrics dashboard

Metrics dashboard

An intuitive metrics dashboard to monitor and analyze performance issues in real-time.

The end result was a streamlined solution that enabled testing for all platforms and geographic regions with a single click, dramatically speeding testing cycles and time to market for new connected car services.