Quality Engineering

Ensuring
digital assurance

Delivering digital customer experience

In digital economy, businesses across the globe have embarked on digital transformation journey to take their products and services closer to the customer. The changes with customer behavior in the digital era demands organizations to disrupt their products and services by redesigning their customer portals, adopting mobile first approach, expanding self-service options, re-engineered solutions in API based architecture, etc. Embracing Agile / Devops models for application development & maintenance to meet speed, agility and reliability needs necessitates elevation of Quality function from Testing / QA to Quality Engineering.

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KGISL as Quality Engineering Partner

KGiSL’s Quality Engineering approach revolves around 3 fundamental solution tenets namely Testing Early, Testing Often and Testing Quicker which is achieved by adopting below methodologies:

Shift Left Approach

Early Identification of defects

Continuous Testing

Progressive Automation Approach

Test Automation

End-to-end Test Automation

Quality Engineering Service Catalog

Multi –Tier Service Catalog

Delivering digital customer experience necessitates quality checks not just from functionality, but also wide array of non-functional requirement pertaining to performance, security, compatibility etc. The below service catalog of KGiSL’s QE practice also depicts different dimensions of testing from basic testing to consulting engagements for QRC, process streamlining, TCoE setup etc.,

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Basic

  • Functional testing
  • Next-gen automation services
  • Waterfall, agile & DevOps
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Specialized

  • Customer experience (CX)
  • Performance, application security
  • Other non-functional tests
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Technology

  • Testing for SMAC stack– social, mobile, analytics & cloud
  • Infrastructure & info security
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Consulting

  • Process & quality
  • Outsourcing / offshoring
  • Strategic & transformation

Benefits

KGiSL’s Quality Engineering Practice helps customers in maximizing efficiencies
and effectiveness resulting in optimized Cost, Quality and Schedule.

Minimize the cost of quality to less than

30%

YoY QA team /cost reduction up to

20%

QA schedule optimization up to

40%

Defect leakage to UAT & PROD under

5%

Automated regression coverage up to

85%

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