Modeling By Example
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2009
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Online Access: | http://hdl.handle.net/1721.1/45974 |
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author | Mendel, Lucy (Lucy R.) |
author2 | Daniel N. Jackson. |
author_facet | Daniel N. Jackson. Mendel, Lucy (Lucy R.) |
author_sort | Mendel, Lucy (Lucy R.) |
collection | MIT |
description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. |
first_indexed | 2024-09-23T08:35:43Z |
format | Thesis |
id | mit-1721.1/45974 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T08:35:43Z |
publishDate | 2009 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/459742019-04-09T18:39:50Z Modeling By Example MBE Mendel, Lucy (Lucy R.) Daniel N. Jackson. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. Includes bibliographical references (p. 105-109). Software developers use modeling to explore design alternatives before investing in the higher costs of building the full system. Unlike constructing specific examples, constructing general models is challenging and error-prone. Modeling By Example (MBE) is a new tool designed to help programmers construct general models faster and without errors. Given an object model and an acceptable, or included, example, MBE generates near-hit and near-miss examples for the user to mark as included or not by their mental goal model. The marked examples form a training data-set from which MBE constructs the user's general model. By generating examples dynamically to direct its own learning, MBE learns the concrete goal model with a significantly smaller training data set size than conventional instance-based learning techniques. Empirical experiments show that MBE is a practical solution for constructing simple structural models, but even with a number of optimizations to improve performance does not scale to learning complex models. by Lucy Mendel. M.Eng. 2009-06-30T16:53:03Z 2009-06-30T16:53:03Z 2007 2007 Thesis http://hdl.handle.net/1721.1/45974 334391508 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 109 p. application/pdf Massachusetts Institute of Technology |
spellingShingle | Electrical Engineering and Computer Science. Mendel, Lucy (Lucy R.) Modeling By Example |
title | Modeling By Example |
title_full | Modeling By Example |
title_fullStr | Modeling By Example |
title_full_unstemmed | Modeling By Example |
title_short | Modeling By Example |
title_sort | modeling by example |
topic | Electrical Engineering and Computer Science. |
url | http://hdl.handle.net/1721.1/45974 |
work_keys_str_mv | AT mendellucylucyr modelingbyexample AT mendellucylucyr mbe |