Applying natural language models and causal models to project management systems

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• Morganti, Caroline (Caroline Taylor)

Advisor dc:contributor.advisor

• Kalyan Veeramachaneni.

• Electrical Engineering and Computer Science.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/119577

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/119577