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University of Magdeburg Faculty of Computer Science B SE Databases and Software Engineering Masters ThesisAnalyzing Software Evolution Datasets and Their Use Cases Author:Sebastian Kitten 27. February

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Gather relevant datasets on software evolution

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Software developers looking to improve their coding practices

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What is analyzing software evolution datasets?

Analyzing software evolution datasets involves examining changes in software code, updates, bug fixes, and other related data over time to understand trends and patterns.

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Software developers, project managers, data analysts, and anyone involved in software development may be required to file analyzing software evolution datasets.

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Analyzing software evolution datasets can be filled out by collecting relevant data, organizing it in a structured manner, and using analytical tools to extract insights.

What is the purpose of analyzing software evolution datasets?

The purpose of analyzing software evolution datasets is to improve software development processes, identify areas for optimization, and enhance the overall quality of software products.

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Information such as code changes, commit history, bug fixes, feature additions, and version releases must be reported on analyzing software evolution datasets.

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