Multi release software reliability modelling incorporating fault generation in detection process and fault dependency
Sujit Kumar Pradhan1, Anil Kumar2, Vijay Kumar3
1Department of Mathematics, Birla Institute of Technology and Science, Pilani, K K Birla Goa Campus, Zuarinagar, Sancoale, Goa, 403726, India.
Scientific Reports
|July 2, 2025
Summary
This study introduces novel software reliability growth models (SRGMs) focusing on fault dependency, not time. The new models accurately predict software reliability and aid in determining optimal release times.
Area of Science:
- Software Engineering
- Computer Science
- Reliability Engineering
Background:
- Software reliability is crucial for failure-free operation.
- Existing software reliability growth models (SRGMs) have limitations in capturing fault dynamics.
- Accurate software reliability estimation is essential for product quality.
Purpose of the Study:
- To propose new SRGMs for fault detection (FDP) and fault correction (FCP).
- To analyze the dependency between FDP and FCP based on fault amount, not time.
- To validate the proposed models using real-world software data and discuss optimal release time.
Main Methods:
- Modeled FDP using a multi-release concept, incorporating leftover and newly added faults.
- Developed FCP model by introducing a change point in the fault dependency function.
- Validated models on two medium-sized software system datasets and incorporated cost factors for release time optimization.
Main Results:
- The proposed SRGMs demonstrate superior data fitting compared to existing models.
- The models effectively capture fault dependency, offering a new perspective on software reliability.
- Cost analysis provides insights into optimal software release timing.
Conclusions:
- The novel SRGMs offer improved accuracy in software reliability assessment.
- Understanding fault dependency is key to enhancing software reliability prediction.
- The cost model aids in making informed decisions about software release schedules.
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