A Proposed Defect Tracking Model for Classifying the Inserted Defect Reports to Enhance Software Quality Control

Sultan, Torky I.; Khedr, Ayman E.; Sayed, Mostafa

doi:10.5120/11460-7068

Cited by 1 publication

(1 citation statement)

References 5 publications

(8 reference statements)

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“…Currently researchers, developers, academics, and practitioners need to be aware and consider these bugs [27], [28] to be serious and get more attention [29] even if they need to be issued (Non-Reproducible Bugs), but this requires [30], [19] more profound techniques. Therefore, we will reduce the bugs that have high potential to low levels [31], [2].…”

Section: Methodsmentioning

confidence: 99%

The Performance of Fuzzy Logic How to Fixed The Risk Level of Bug System as Hard-working Quality Software

Pamuji¹

2019

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The quality of software production is considered important when testing which is involves several IT Staff such as IT development, operation, end-user. One of the issue was having today is a bug processing where it almost all platforms too difficult to avoid from the bugs and even might be full of the risks. In the main of Our focus is on how to measure and attempt to reduce the number were indicated as bugs from low up to critical levels. Furthermore, we were propose with a method already known as a fuzzy logic approach to measure the severity of the presence of bugs during the testing process. there are 20 thousand even more bugs have been reported and be supposed removed with the fuzzy logic approach with various levels. As The end result is that we have found a gradual 20% reduction in various criteria in the testing process as experimentally. Therefore, fuzzy logic is considered as effective enough to be able to improve existing methods and support to reduce bugs significantly.

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Section: Methodsmentioning

confidence: 99%