English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

One of the indicators of success in the area of delivering quality software is the number of defects reported by the customer following product ship. Consequently, this necessitates a process for tracking defects in the development and testing phases. The consequent to defect arrival patterns can then be used to provide flags requiring changes in the development process, and to project the likely number of customer reported problems once the product goes out of the door.This report describes the methods used for tracking defects and for using reliability growth models to project the number of customer reported defects for a new product release. The methods used for extracting, depicting, analyzing, and modeling defect data are described in detail.Defects were tracked using the Configuration Management Version Control tool (CMVC), with the defect data extracted on a weekly basis. The defect arrival rate was then used to project the number of expected customer reported defects using a reliability projection tool.

Defect tracking and reliability modeling for a new product release