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Issues and Challenges of Automated Software Fault Tolerance Techniques

Thesis Info

Access Option

External Link

Author

Mehreen

Institute

Virtual University of Pakistan

Institute Type

Public

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2016

Thesis Completion Status

Completed

Subject

Software Engineering

Language

English

Link

http://vspace.vu.edu.pk/detail.aspx?id=15

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676720945813

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In software, faults can occur and may disturb the normal behavior or working of a system. Software fault tolerance techniques must be implemented to remove these faults. Fault tolerance is defined as how the system fights when faults occur. A system cannot be truly fault tolerant until software fault tolerance techniques are applied to it. In early research, it is estimated that almost 60-90% of system failures are attributed to software failures. These failures can be controlled by applying software fault tolerance techniques. In this research, a comparative study of different software fault tolerance techniques (like Swift, Trump, Mask and N-version programming) will be carried out and current research challenges in these techniques will be discussed.
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