enabling business responsiveness with intelligent
TRANSCRIPT
Benefit from Comprehensive Testing withAnalytics to Adapt Dynamically
Create Intelligent Overarching Test Strategywith Automation for Dynamic Deployment
An IDC Infographic, sponsored by Micro Focus
Enabling BusinessResponsiveness withIntelligent Continuous Testing
Respond to Breadth of CoverageDemanded for High-Quality Applications
Establish Performance Engineering Strategiesfor Governance Across the Software Portfolio
Leverage AI for Agile Execution to Extend Reach,Increase E�ciency, Cut Costs, Improve Quality
Rapid digital transformation (DX) for business survival demandsupfront velocity testing across multiple areas — for example:
Multiplicity of systems and technologies acrossmyriad platforms for multimodal deployment poses
compound challenges that mandate automation.
AI and advanced analytics adoption can:
IDC sees use of artificial intelligenceand machine learning to address core areas:
For digital innovation, organizations must “shift left” and test softwarerapidly across a complex plethora of environments to keep pacewith DevOps pipelines. “Smarter” testing and quality strategiesleveraging artificial intelligence can help increase e�ciency, resilience,and business optimization.
Security
Source: IDC, CIO Sentiment Survey, September 2020
Sources: IDC, U.S. DevOps Survey of Enterprise Organizations, December 2019, n = 102; and IDC, PaaSView and the Developer, May 2020, n = 2,500
Source: IDC, U.S. DevOps Survey of Enterprise Organizations, December 2019, n = 102
Source: IDC, U.S. DevOps Survey of Enterprise Organizations, December 2019, n = 102
Reducemaintenance costs
Increase test coverage anddeployment speed
Extend testing reach tonon-technical business users
Enable visible, actionable metrics
of respondentscited manual e�orts associated with testing as the leadingchallenge. Project replanning and change management were the next most frequently cited challenges.
40%
of organizationsare interested in being a digital solution hub or part of a community that collaborates to create andshare digital solutions
of organizationsseek tools that support both modern applications and mainframe
70%
90%
Scale automation with AI technology to keep pace with pipeline, data, andbusiness dynamism and complexity.
Increase coverage rates and e�ciency via computer vision and machine learningfor object identification and location to mitigate maintenance e�orts;gain testing benefits from AI.
Enable e�cient script management and metrics to help address skills barrierwith natural language processing.
AI models enable self-learning, evolving over time as additional data is gatheredto augment capabilities and increase e�ciency.
29%
App developmentpipeline
optimization
24%
Deliverybottlenecks
19%
New appdevelopment
outcomes
16%
Acceleratingtesting
12%
Exploring AIcognitive
ecosystems
Increasing demand for e�ciency drives functional testing with emergingAI usage and analytics.
Performance engineering and performance testing enable rapid scaling with the shift to digital transformation and remote work.
Management of tests, test environments, and test data is vital for visibility,coverage, governance, and compliance.
Resilient app design and security vulnerability analysis and testing help protectbusinesses for DevSecOps.
Robotic process automation for operations automation and qualitycoordination help automate mundane, error-prone tasks.
Unite performance, functional, and nonfunctional testing across complexecosystems of apps and technologies.
Remain relevant in today’s economy through adaptive, high-qualityexecution with performance engineering.
Incorporate organizational and agile process change with appropriate qualityautomation strategies for success.
All IDC research is © 2021 by IDC. All rights reserved. All IDC materials are licensed with IDC’s permission and in no way does the use or publication of IDC research indicate IDC’s endorsement of Micro Focus’s products and/or strategies.
This infographic was produced by:
January 2021 | IDC Doc. #US47015420
Learn more about digital transformations andhow to deliver value at high speed with low risk.
Message from the Sponsor
Visit the Micro Focus AccelerateApplication Delivery solutions
Functionality Customer experiencePerformance
Testing imperatives exist for safe, relevant, high-quality software toavoid the reputational and business costs of poorly performing, broken, porous, irrelevant, and ugly software (produced at DevOps speeds).
As complexity evolves, it demands business alignment, automation,and leverage of artificial intelligence/machine learning (AI/ML)augmentation.
AI/analytics is the top area of investment for IT-focused spending;COVID-19 is boosting AI usage via automation for improved decisionmaking, modeling, and monitoring in dramatically changing environments.
Sustainable software-based innovation demands that companiesdeliver value faster than technical debt is accrued.
Businesses must respond to changes to their enterprise resourceplanning (ERP) platforms, which constitute their “central nervoussystem” along with related systems-of-record (SOR) dependencies.
SAP-mandated shift to S/4HANA by 2027 compels timely,comprehensive quality strategy to successfully migrate whilealso providing business continuity.