Meeting the Challenges of Quality Testing Plans

 
 
By Dennis McCafferty  |  Posted 10-10-2017 Email
 
 
 
 
 
 
 
 
 
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    1 - Meeting the Challenges of Quality Testing Plans
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    Meeting the Challenges of Quality Testing Plans

    Demand for quality testing is on the rise for cloud environments, the IoT and mobile apps, but IT faces many challenges in responding to these needs.
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    2 - Slow Starters
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    Slow Starters

    88% of survey respondents said their organization uses—or is experimenting with—DevOps principles (including continuous testing) for projects, but 77% of companies are using them for less than half of their projects, if at all.
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    3 - Flex Plan
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    Flex Plan

    96% said their company has adopted agile methodologies (including agile testing) for at least some of their projects.
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    4 - Common Testing Challenges in Agile Development
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    Common Testing Challenges in Agile Development

    Lack of appropriate test environment and data: 46%
    Difficulty in re-use and repeat tests throughout sprints/iterations: 45%
    Lack of good testing approach that fits with agile development method: 44%
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    5 - Migration Strategy
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    Migration Strategy

    87% of survey respondents said their organization is using or plans to use cloud-based test environments to support DevOps practices.
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    6 - Manual Methods
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    Manual Methods

    At most, an average of only 16% of common test activities is performed using automation technology.
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    7 - Major Obstacles
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    Major Obstacles

    42% of respondents said their organization faces test automation challenges in the form of test data and environment availability. The same percentage said their current automation solution does not support mobile testing.
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    8 - All Things Considered
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    All Things Considered

    58% said they either have a "fairly mature" internet of things (IoT) test strategy or plan to launch an IoT-specific testing strategy in the near future.
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    9 - Biggest IoT Testing Challenges
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    Biggest IoT Testing Challenges

    Testing end-to-end user experiences, including performance: 26%
    Testing interactions between different layers: 26%
    Creating a test environment with virtualized end-products, devices or test data: 26%
    Testing the security aspect: 24%
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    10 - Top Focus Areas for Testing Mobile Apps
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    Top Focus Areas for Testing Mobile Apps

    Efficiency and performance: 53%
    User interface and ease of use: 48%
    Certification of app: 46%
    Functionality: 44%
    Security: 43%
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    11 - Top Mobile App Testing Challenges
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    Top Mobile App Testing Challenges

    Lack of time for testing: 52%
    Lack of correct testing processes and methods: 47%
    Lack of the right tools for testing: 46%
 

The digital transformation has emerged at Topic A for many enterprises, but IT organizations often struggle to develop a testing plan to assure the quality of today's tech initiatives, according to a survey from Capgemini and Micro Focus. The accompanying "World Quality Report 2017-18" indicates that most companies have come up with a "fairly mature" internet of things (IoT) testing strategy—or plan to do so. However, these companies are encountering difficulties when they attempt to test for the quality of end-to-end IoT user experiences, or create a testing environment with virtualized end-products, devices or test data. When testing mobile apps, they face a lack of correct testing processes and methods. To overcome this, they are either adopting—or at least experimenting with—DevOps and agile methodologies. But these pursuits come with challenges. It doesn't help that few test activities are automated. "Testing teams are coming of age, but facing new challenges with the shift to agile applications," said Hans van Waayenburg, a member of the Group Executive Committee at Capgemini and head of Sogeti, its tech and engineering services subsidiary. "Digital transformation provides a huge opportunity for growth, but organizations must be proactive in breaking down silos between business, development, quality and operations, while using agile and DevOps to focus on customer value and business relevance. To retain a competitive edge, quality assurance and test organizations must move toward test ecosystem automation, predictive analytics and intelligence-led quality assurance and testing, for better business outcomes." A total of 1,660 global CIOs, IT directors, QA/testing managers and other managers took part in the research.

 
 
 
 
 

 
 
 
 
 
 

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