Case Study: Leading Network Equipment Manufacturing Company achieves 4.5% productivity gain with HCL's Intelligent Sustenance Engineering (ISE)

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Leading Network Equipment Manufacturer - Customer Case Study

The customer, a leading networking equipment manufacturer headquartered in San Jose, California, struggled with slow defect identification and root-cause analysis (taking days), duplicate defects from multiple test teams, and poor impact analysis that hurt test effectiveness and ROI. HCL delivered its Intelligent Sustenance Engineering (ISE) offering to improve response times, optimize test cycles and enable more efficient sustenance engineering.

HCL implemented ISE features including NLP-based similar-defect identification, file- and commit-traceability, search by function/SNMP OID, a browser plugin/system connector, and multiple adapters for defect, test and escalation data. As a result HCL cut bug-repro effort by 33% and analysis effort by 50%, delivered a 45% effort saving for DJRMV defects, reduced root-cause analysis time by 60% (from ~2 days to under a day) and achieved an overall productivity improvement (headline 4.5%).


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