Abstract
dc:description.abstract<p>Software engineers frequently compose self-evaluations as part of employee perfor- mance reviews. These evaluations can be a key artifact for assessing a software engineer’s contributions to a team and organization, and for generating useful feed- back. Self-evaluations can be challenging because a) they can be time consuming, b) individuals may forget about important contributions especially when the review period is long such as a full year, c) some individuals can consciously or unconsciously overstate their contributions, and d) some individuals can be reluctant to describe their contributions for fear of appearing too proud [24].</p> <p>UNBIASED, Useful New Basic Interactive Automated Self-Evaluation Demon- stration, is a web application designed to tackle the challenges of performing a self- evaluation by automatically gathering data from existing third party APIs, perform- ing an analysis on the data, and generating a self-evaluation starting point for soft- ware engineers to build off. The third party APIs currently supported are: Bitbucket, Gmail, Google Calendar, GitHub, and JIRA.</p>
Degree
thesis:*- Name thesis:degree_name
- MS in Computer Science
- Discipline thesis:degree_discipline
- Computer Science
- Year dc:date.available
- 2016
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Miranda, Jonathan Rodrigo A
- Contributors dc:contributor
-
- David Janzen
Subjects
dc:subject × 2Identifiers
dc:identifier.*- Identifier
- 10.15368/theses.2016.82
- OAI identifier oai:identifier
- oai:digitalcommons.calpoly.edu:theses-2777