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Srept: Software reliability estimation and prediction tool

Publication ,  Conference
Ramani, S; Gokhale, SS; Trivedi, KS
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 1998
Published version (DOI)

Several tools have been developed for the estimation of soft- ware reliability. However, they are highly specialized in the approaches they implement and the particular phase of the software life-cycle in which they are applicable. There is an increasing need for a tool that can be used to track the quality of a software product during the soft- ware development process, right from the architectural phase all the way up to the operational phase of the software. Also the conventional techniques for software reliability evaluation, which treat the software as a monolithic entity are inadequate to assess the reliability of heterogeneous systems, which consist of a large number of globally distributed components. Architecture-based approaches are essential to predict the reliability and performance of such systems. This paper presents the high-level design of a Software Reliability Estimation and Prediction Tool (SREPT), that offers a unified framework containing techniques (including the architecture-based approach) to assist in the evaluation of software reliability at all phases of the software life-cycle.

Duke Scholars

Kishor S. Trivedi
Author Kishor S. Trivedi Electrical and Computer Engineering

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

10.1007/3-540-68061-6_3

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 1998

Volume

1469

Start / End Page

27 / 36

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Ramani, S., Gokhale, S. S., & Trivedi, K. S. (1998). 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. 1469, pp. 27–36). https://doi.org/10.1007/3-540-68061-6_3
Ramani, S., S. S. Gokhale, 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), 1469:27–36, 1998. https://doi.org/10.1007/3-540-68061-6_3.
Ramani S, Gokhale SS, 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). 1998. p. 27–36.
Ramani, S., et al. “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. 1469, 1998, pp. 27–36. Scopus, doi:10.1007/3-540-68061-6_3.
Ramani S, Gokhale SS, 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). 1998. p. 27–36.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

10.1007/3-540-68061-6_3

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 1998

Volume

1469

Start / End Page

27 / 36

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences