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4 Predicting Bugs from History Thomas Zimmermann1, Nachiappan Nagappan2, and Andreas Zeller1 1 2 3University of Calgary, Alberta, Canada Microsoft Research, Redmond, Washington, USA Saarland University,

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How to fill out predicting bugs from history

01

Step 1: Review the project's past bug history and collect historical bug data.

02

Step 2: Analyze the historical bug data to identify patterns and trends.

03

Step 3: Define relevant metrics and criteria for predicting future bugs.

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Step 4: Use machine learning or statistical models to train and validate the bug prediction algorithm.

05

Step 5: Implement the bug prediction algorithm to analyze new code changes or releases.

06

Step 6: Monitor and continuously improve the bug prediction model based on real-time bug data feedback.

Who needs predicting bugs from history?

01

Software development teams

02

Quality assurance teams

03

Project managers

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Software engineers

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What is predicting bugs from history?

Predicting bugs from history is the process of using past data and trends to forecast potential bugs in a software system.

Who is required to file predicting bugs from history?

Software developers, quality assurance testers, and project managers are typically required to file predicting bugs from history.

How to fill out predicting bugs from history?

To fill out predicting bugs from history, one must analyze past bug reports, identify patterns, and use tools or techniques for prediction.

What is the purpose of predicting bugs from history?

The purpose of predicting bugs from history is to proactively address and prevent potential issues in software development.

What information must be reported on predicting bugs from history?

Information such as bug categories, frequency of occurrence, severity levels, affected modules, and potential root causes must be reported on predicting bugs from history.

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