Fehlende Test-Automatisierung – ungenaue Metriken für Risikobewertung
Definition
Manual QA reports are subjective ('looks good'). Management cannot see: code coverage %, defect escape rate trend, test cycle time, or bottlenecks. Bad decisions cascade: hire too many testers (cost waste), release with gaps (compliance/liability risk), or delay non-critical work (opportunity cost). No quantified basis for risk management.
Key Findings
- Financial Impact: €30,000–€150,000/year in misallocated resources or fines from bad release decisions. Example: Over-hiring 2 QA FTE @ €60,000/year = €120,000 waste; or one compliance release failure fine = €50,000+
- Frequency: Per release cycle (monthly–quarterly decisions)
- Root Cause: No automated test reporting; lack of test metrics visibility; subjective pass/fail criteria without quantified risk assessment
Why This Matters
This pain point represents a significant opportunity for B2B solutions targeting IT System Custom Software Development.
Affected Stakeholders
CTO, VP Engineering, QA Manager, Finance/Budget Owner
Deep Analysis (Premium)
Financial Impact
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Current Workarounds
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Manuelle Testausführung vs. Automatisierung – Überstundenkosten
Unvollständige Testabdeckung führt zu kritischen Defekten in der Produktion
Manuelle Testausführung blockiert CI/CD-Pipelines und verzögert Markteinführung
Elektronische Rechnungspflicht Nicht-Konformität und Bußgelder
Verzögerte Zahlungsabwicklung durch manuelle Rechnungskonvertierung
GoBD Revisionssicherheit und Rechnungsdatenspeicherung – Audit-Bußgelder
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