SREPT: Software reliability estimation and prediction tool
Publication
, Conference
Ramani, S; Trivedi, KS
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2000
Although several tools have been developed for the estima-tion of software reliability, they are highly specialized in the approaches they implement and the particular phase of the software lifecycle in which they are applicable. Also the conventional techniques for software reli-ability evaluation, which treat the software as a monolithic entity are inadequate to assess the reliability of heterogeneous systems. We present here, our tool called Software Reliability Estimation and Prediction Tool (SREPT), that offers a unified framework containing techniques (includ-ing the architecture-based approach) to assist in the evaluation of soft-ware reliability at several phases of the software lifecycle.
Duke Scholars
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
January 1, 2000
Volume
1786
Start / End Page
358 / 361
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Ramani, S., & Trivedi, K. S. (2000). SREPT: Software reliability estimation and prediction tool. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1786, pp. 358–361). https://doi.org/10.1007/3-540-46429-8_31
Ramani, S., and K. S. Trivedi. “SREPT: Software reliability estimation and prediction tool.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1786:358–61, 2000. https://doi.org/10.1007/3-540-46429-8_31.
Ramani S, Trivedi KS. SREPT: Software reliability estimation and prediction tool. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2000. p. 358–61.
Ramani, S., and K. S. Trivedi. “SREPT: Software reliability estimation and prediction tool.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1786, 2000, pp. 358–61. Scopus, doi:10.1007/3-540-46429-8_31.
Ramani S, Trivedi KS. SREPT: Software reliability estimation and prediction tool. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2000. p. 358–361.
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
January 1, 2000
Volume
1786
Start / End Page
358 / 361
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences