What changed from existing technology?
This study introduces a new way to predict how reliable software will become over time, considering factors like how well faults are found and fixed, sudden changes in testing, and when to release the software for best results.
This model is novel because it accounts for the remaining undetected faults in addition to detected faults when calculating fault detection rates, and it incorporates a change point to represent sudden testing process changes.
Commercialization signals visible at publication
This is not a success probability or investment opinion. It prioritizes follow-up using evidence available when the paper was published.
Verified evidence · 1
A software reliability growth model considering adaptive fault detection, fault removal efficiency, change point, and
Title ↗- 시제품·장치 구현 근거 미확인
- 제조·규모 확장 근거 미확인
Later patent, company, clinical, and production events are added separately only after verification.
Patent check: Not checked yetCurrent technology stage: Early research
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What still needs to be solved?
Repeated real-world validation, manufacturability, cost, and long-term stability still require follow-up evidence.
What could change if this succeeds?
This model could help software companies better estimate when to release their products to balance reliability, cost, and time-to-market constraints.
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