Alicia M. Grubb

Assistant Professor of Computer Science

Alicia Grubb

Contact & Office Hours

Fall 2019
Monday, 4–5 p.m.
Tuesday, 4:30–5:30 p.m.
Thursday, 3–4 p.m.
And by appointment. 

Ford Hall 355



Ph.D., M.Sc., University of Toronto

B.S.E., University of Waterloo


Alicia M. Grubb is a teaching scholar whose work focuses on how individuals learn, make decisions and understand change, and they address these questions in the context of empirical software engineering. In early-phase software engineering, goal modeling elicits and connects stakeholders’ intentions and social needs with technical requirements in order to help stakeholders understand and evaluate potential tradeoffs. Within this context, Grubb’s dissertation enables stakeholders to model and reason about tradeoff decisions in the context of evolving requirements and dependencies. Prior to joining Smith, Grubb also worked on embedding writing education and social impact analysis within the computer science curriculum.

Current undergraduate research projects in Grubb’s lab include: using stakeholder preferences to reduce the solution space of possible evolutions; comparing expressive power and usability of goal modeling languages; visualizing trends in evolutionary reasoning; and exploring the utility of goal modeling activities.

Grubb joined Smith College in January 2019.

Selected Publications

A. M. Grubb and M. Chechik. Reconstructing the Past: The Case of the Spadina Expressway. Requirements Engineering, 2019.

A. M. Grubb. Reflection on Evolutionary Decision Making with Goal Modeling via Empirical Studies. 2018 IEEE 26th International Requirements Engineering Conference, 2018.

A. M. Grubb and M. Chechik. Modeling and Reasoning with Changing Intentions: An Experiment. 2017 IEEE 25th International Requirements Engineering Conference, 2017.

A. M. Grubb and M. Chechik. Looking into the Crystal Ball: Requirements Evolution over Time. 2016 IEEE 24th International Requirements Engineering Conference, 2016.

A. M. Grubb and A. Begel. On the perceived interdependence and information sharing inhibitions of enterprise software engineers. In Proceedings of the 2012 ACM Conference on Computer Supported Cooperative Work, 2012.