| Autor: |
Sujit Kumar Pradhan, Anil Kumar, Vijay Kumar |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Computer Sciences & Mathematics Forum, Vol 7, Iss 1, p 44 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2813-0324 |
| DOI: |
10.3390/IOCMA2023-14436 |
| Popis: |
The number of software failures, software reliability, and failure rates can be measured and predicted by the software reliability growth model (SRGM). SRGM is developed and tested in a controlled environment where the operating environment is different. Many SRGMs have developed, assuming that the working and developing environments are the same. In this paper, we have developed a new SRGM incorporating the imperfect debugging and testing coverage function. The proposed model’s parameters are estimated from two real datasets and compared with some existing SRGMs based on five goodness-of-fit criteria. The results show that the proposed model gives better descriptive and predictive performance than the existing selected models. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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