Abstract
Empirical research is inexact and error-prone leading researchers to agree that replication of experiments is a necessary step to validating empirical results. Unfortunately, replicating experiments requires substantial investments in manpower and time. These resource requirements can be reduced by incorporating component reuse when building tools for empirical experimentation. Bokeo is an initiative within the Sequoia Lab of the BYU Computer Science Department to develop a platform to assist in the empirical study of software engineering. The i3Persistence Framework is a component of Bokeo which enables researchers to easily build and rapidly deploy tools for empirical experiments by providing an easy-to-use database management service. We introduce the i3Persistence Framework of Bokeo to assist in the development of software to replicate experiments and conduct studies on data from open-source repositories.
Degree
MS
College and Department
Physical and Mathematical Sciences; Computer Science
Rights
http://lib.byu.edu/about/copyright/
BYU ScholarsArchive Citation
Chun, Scott Bong-Soo, "A Reusable Persistence Framework for Replicating Empirical Studies on Data from Open Source Repositories" (2010). Theses and Dissertations. 2371.
https://scholarsarchive.byu.edu/etd/2371
Date Submitted
2010-12-16
Document Type
Thesis
Handle
http://hdl.lib.byu.edu/1877/etd4170
Keywords
replication, database, computer, empirical, framework, experiments, persistence
Language
English