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Massachusetts Institute of Technology

A conceptual design analysis of Git

Abstract

dc:description.abstract

It is commonly asserted that the success of a software development project, and the usability of the final product, depend on the quality of the concepts that underlie its design. Yet this hypothesis has not been systematically explored by researchers, and conceptual design has not played the central role in the research and teaching of software engineering that one might expect. As part of a new research project to explore conceptual design, we are engaging in a series of case studies. This thesis reports on our case study on Git, a popular-yet sometimes puzzling-version control system. In an attempt to understand the root causes of its complexity, we analyze its conceptual model and identify some undesirable properties; we then present a reworking of the conceptual model that forms the basis of Gitless, our redesign of Git.

Degree

thesis:*
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
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Perez De Rosso, Santiago (Santiago Nicolas)
Advisor dc:contributor.advisor
  • Daniel Jackson.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/97817
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/97817

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Perez De Rosso, Santiago (Santiago Nicolas). A conceptual design analysis of Git. Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/97817