Applying natural language models and causal models to project management systems
Name
1076359279-MIT.pdf
Description
Full printable version
Size
846.69 KB
Format
Adobe PDF
Checksum (MD5)
f67354919a9f2b9c32dc80d14b6cd4b3
Author(s)
Morganti, Caroline (Caroline Taylor)
Advisor(s)
Kalyan Veeramachaneni.
Date Issued
2018
Publisher
Massachusetts Institute of Technology
Abstract
This thesis concerns itself with two problems. First, it examines ways in which to use natural language features in time-varying data in predictive models, specifically applied to the problem of software project maintenance. We attempted to integrate this natural language data into our existing predictive models for project management applications. Second, we began work on creating an easy-to-use, extensible causal modeling framework, a Python package called CEModels. This package allows users to create causal inference models using input data. We tested this framework on project management data as well.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 97-101).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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