Imperfect Debugging, Testing Coverage, and Compiler Error-Based SRGM with Two Types of Faults Under the Uncertainty of the Operating Environment

Sujit Kumar Pradhan, Anil Kumar (), Vijay Kumar () and P. K. Kapur
Additional contact information
Sujit Kumar Pradhan: BITS Pilani K K Birla Goa Campus
Anil Kumar: BITS Pilani K K Birla Goa Campus
Vijay Kumar: Amity Institute of Applied Sciences, Amity University
P. K. Kapur: Amity University

A chapter in Reliability Engineering for Industrial Processes, 2024, pp 361-380 from Springer

Abstract: Abstract The familiar supposition for many software reliability growth models is that the software’s faults are independent and can be fixed ideally. However, this is not always valid due to several aspects like developers’ efficiency, software complexity, testing environment, etc. The testing environment greatly affects the software’s reliability after being implemented in the actual field environment. Therefore, the improvement of the software’s reliability is needed while the software works in the natural environment. In this chapter, under the uncertainty of the environment, we have presented a model in which two different testing coverage function and a time-dependent fault content function is incorporated. The central thought about the proposed model is that the natural testing time differs from the theoretical testing time. The existing models are compared with the proposed model using three different data sets on eight goodness-of-fit criteria. It is shown that the proposed model fits the data set better than the existing models.

Keywords: Non-homogeneous Poisson process (NHPP); Software failure; Software reliability growth models (SRGMs); Mean value function (MVF); Random field environment (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-55048-5_22

Ordering information: This item can be ordered from
http://www.springer.com/9783031550485

DOI: 10.1007/978-3-031-55048-5_22

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().