White Papers

Data Mining for Software Process Discovery in Open Source Software Development Communities

Category: Data Management, Desktops, Laptops and OS

Tags: artificial intelligence, open source software, open source, software development, linux, software, data

Overview Software process discovery has historically been an intensive task, either done through exhaustive empirical studies or in an automated fashion using techniques such as logging and analysis of command shell operations. While empirical studies have been fruitful, data collection has proven to be tedious and time consuming. Existing automated approaches have expedited collection of fine-grained data, but do so at the cost of impinging on the developer's work environment, few of who may be observed. This paper explores techniques for discovering development processes from publicly available open source software development repositories that exploit advances in artificial intelligence.

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Publisher: University of California
File Format: PDF
Date Published: Sep 19, 2008
Format: White Papers
Topics: Linux - Open Source, Data Mining - Analysis

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