These are a few of my research projects unrelated to data visualization. For my visualization design work, please see my visualizations page.

Action Science Explorer

Action Science Explorer (ASE) is a tool designed to support users in rapidly generating readily consumable summaries of academic literature. It uses citation network visualization, ranking and filtering papers by network statistics, and automatic clustering and summarization techniques. I designed and conducted an empirical evaluation of ASE, developed a taxonomy of features for literature search tools, and I documented the literature exploration goals of the evaluation users.


Dunne C, Shneiderman B, Gove R, Klavans J and Dorr B (2012), "Rapid understanding of scientific paper collections: integrating statistics, text analytics, and visualization", in JASIST: Journal of the American Society for Information Science and Technology. Paper PDF

Gove R, Dunne C, Shneiderman B, Klavans J and Dorr B (2011), "Evaluating visual and statistical exploration of scientific literature networks", in VL/HCC '11: Proc. 2011 IEEE Symposium on Visual Languages and Human-Centric Computing. Paper PDF

Action Science Explorer

Machine Learning for Classifying Infeasible GUI Test Cases

Gove R and Faytong J (2012), "Machine Learning and Event-Based Software Testing: Classifiers for Identifying Infeasible GUI Event Sequences", in Advances in Computers. (Ed. Atif M Memon.) Vol. 86. pp. 109-135. Paper PDF

Gove R and Faytong J (2011), "Identifying Infeasible GUI Test Cases Using Support Vector Machines and Induced Grammars", in TESTBEDS '11: Third International Workshop on TESTing Techniques & Experimentation Benchmarks for Event-Driven Software. Paper PDF

A GUI and its event interaction graph

Modeling Resource Allocation in A. lyrata Using Trait Networks (Spring 2008 - Fall 2008)

Developed a theoretical network model for traits that are potentially under grenetic control in the plant A. lyrata, and then programmed the model in Matlab to simulate datasets. Designed and executed a five-month study to collect data to test the network model.


Gove R, Chen W, Zweber N, Erwin R, Rychtar J, Remington D (2012), "Effects of causal networks on the structure and stability of resource allocation trait correlations", in Journal of Theoretical Biology.


A Trait Network Model for Resource Allocation. Recipient of Patterson Prize for Outstanding Undergraduate Student Presentation. The Mathematical Association of America Southeastern Section, Nashville, TN, March 2009.

The Importance of Theoretical Research in Resource Allocation Strategies in Rockcress. Recipient of First Place for research paper in Social, Physical, and Applied Sciences. Lloyd International Honors College 2009 Honors Symposium, University of North Carolina at Greensboro, February 2009.

Traits in A. Lyrata

Multiple Mating Behavior in Honey Bee Queens (Spring 2007 - Fall 2007)

Designed and developed a simulation to examine the effects of multiple mating in queen bees on division of labor in honey bee colonies. Collaborated with an interdisciplinary team to design and execute a 10-week experiment on mating behavior in queen bees.


Gove R, Hayworth M, Chhetri M, Rueppell (2009), "Division of labour and social insect colony performance in relation to task and mating number under two alternative response threshold models", in Insectes Sociaux, 56: 319-331.

Hayworth M, Johnson N, Wilhelm M, Gove R, Metheny J and Rueppell O (2009), "Added Weights Lead to Reduced Flight Behavior and Mating Success in Polyandrous Honey Bee Queens (Apis mellifera)", in Ethology, 115: 698-706.

Experimental honey bee hive design