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Error Tracking

Throughout the software process, a project team creates work products and errors that are tracked. If these error measures are collected over many projects, project managers can use the data as a baseline to assess the status of a current project by comparing its real-time error data. The software team performs reviews and testing to find and correct errors, with any errors not uncovered considered defects. Defect Removal Efficiency is defined as errors found divided by total errors and defects, providing insight into quality assurance effectiveness and a project's progress through scheduled tasks.

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250 views1 page

Error Tracking

Throughout the software process, a project team creates work products and errors that are tracked. If these error measures are collected over many projects, project managers can use the data as a baseline to assess the status of a current project by comparing its real-time error data. The software team performs reviews and testing to find and correct errors, with any errors not uncovered considered defects. Defect Removal Efficiency is defined as errors found divided by total errors and defects, providing insight into quality assurance effectiveness and a project's progress through scheduled tasks.

Uploaded by

saurabh
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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Error Tracking

Throughout the software process, a project team creates work products (e.g., requirements
specifications or prototype, design documents, source code). But the team also creates (and
hopefully corrects) errors associated with each work product. If error related measures
and resultant metrics are collected over many software projects, a project manager can use
these data as a baseline for comparison against error data collected in real time. Error
tracking can be used as one means for assessing the status of a current project.

The software team performs formal technical reviews (and, later, testing) to find and
correct errors, E, in work products produced during software engineering tasks. Any errors
that are not uncovered (but found in later tasks) are considered to be defects, D. Defect
Removal Efficiency has been defined as

DRE = E/(E + D)

DRE is a process metric that provides a strong indication of the effectiveness of quality
assurance activities, but DRE and the error and defect counts associated with it can also be
used to assist a project manager in determining the progress that is being made as a
software project moves through its scheduled work tasks.

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