{"id":112,"date":"2012-09-10T22:20:23","date_gmt":"2012-09-11T03:20:23","guid":{"rendered":"http:\/\/blogs.acu.edu\/jdh08a\/?page_id=112"},"modified":"2018-08-20T10:41:07","modified_gmt":"2018-08-20T15:41:07","slug":"scholarship-publications","status":"publish","type":"page","link":"https:\/\/blogs.acu.edu\/jdh08a\/scholarship-publications\/","title":{"rendered":"Publications and Presentations"},"content":{"rendered":"

Scholarly works are listed in descending chronological order, with titles linking to abstracts. Impact data is shown where possible, and several works also have links to full texts.<\/p>\n

\n

“Decision field theory with learning: Learning through experience to choose in an uncertain world.<\/a>”\u00a0Ryan Jessup, Alison Phillips, John Homer, Jerome Busemeyer. Presented at\u00a0Society for Judgment and Decision Making conference, November 2018.<\/p>\n

“Metacognitive Difficulties Faced By Novice Programmers in Automated Assessment Tools.<\/a>”\u00a0James Prather, Ray Pettit, Kayla Holcomb McMurry, Alani Peters, John Homer, Maxine Cohen. In\u00a0International Computing Education Research<\/em>, August 2018.
\nh5-index: 19<\/p>\n

“On Novices’ Interaction with Compiler Error Messages: A Human Factors Approach.<\/a>” James Prather, Ray Pettit, Kayla Holcomb, Alani Peters, John Homer, Nevan Simone, Maxine Cohen. In\u00a0International Computing Education Research<\/em>, August 2017.
\nh5-index: 19
\ncitation: 8<\/p>\n

“Do Enhanced Compiler Error Messages Help Students? Results Inconclusive.<\/a>” Ray Pettit, John Homer, Roger Gee. In\u00a0SIGCSE Technical Symposium<\/em>, March 2017.
\nh5-index: 32
\ncitation: 10
\nClick here to see the full paper<\/a><\/p>\n

“Risk Analysis with Execution-Based Model Generation.<\/a>” Jaime Acosta, Edgar Padilla, John Homer. In\u00a0Journal of Cyber Security and Information Systems<\/em>, Volume 5, No. 1, December 2016.<\/p>\n

“Augmenting Attack Graphs to Represent Data Link and Network Layer Vulnerabilities.<\/a>” Jaime Acosta, Edgar Padilla, John Homer. In IEEE\u00a0Military Communications Conference<\/em>, November 2016.
\nh5-index: 20
\ncitation: 3
\nClick here to see the full paper<\/a><\/p>\n

“Are Automated Assessment Tools\u00a0Helpful\u00a0in Programming Courses?<\/a>” Ray Pettit, John Homer, Kayla Holcomb, Nevan Simone, Susan Mengel. In\u00a0ASEE Annual Conference and Exposition<\/em>, June 2015.
\nh5-index: 8
\ncitation: 11<\/p>\n

“An Empirical Study of Iterative Improvement in Programming Assignments.<\/a>” Ray Pettit, John Homer, Susan Mengel, Roger Gee and Adam Starbuck. In SIGCSE Technical Symposium<\/em>, March 2015.
\nh5-index: 32
\ncitation: 10<\/p>\n

“Can There Be Too Much Choice? Empirical Explorations of Theoretical Predictions.<\/a>” Ryan Jessup, Levi Ritchie and John Homer. In Society for Judgment and Decision Making 2014 Conference<\/em>, November 2014.
\nh5-index: 27<\/p>\n

“Aggregating Vulnerability Metrics in Enterprise Networks using Attack Graphs.<\/a>” John Homer, Su Zhang, Xinming Ou, David Schmidt, Yanhui Du, S. Raj Rajagopalan, and Anoop Singhal. In Journal of Computer Security<\/em>, Volume 21, No. 4, September 2013.
\nh5-index: 17
\ncitation: 58
\nClick here to see the full article<\/a><\/p>\n

“Testing Test-First First.<\/a>” John Homer, Dwayne Towell and David Reynolds. In 2012 Association for Computer Educators in Texas Conference<\/em>, November 2012.<\/p>\n

“Characterization of CS1 Student Programming.<\/a>” Nigel Bosch, Dwayne Towell, and John Homer. In 2012 International Conference on Frontiers in Education: Computer Science and Computer Engineering<\/em>, July 2012.
\ncitation: 2
\nClick here to see the full paper<\/a><\/p>\n

“An Empirical Study of a Vulnerability Metric Aggregation Model.<\/a>” Su Zhang, Xinming Ou, Anoop Singhal, and John Homer. In 2011 International Conference on Security and Management<\/em>, special track on Mission Assurance and Critical Infrastructure Protection, July 2011.
\ncitation: 12<\/p>\n

“Effective Network Vulnerability Assessment through Model Abstraction.<\/a>” Su Zhang, Xinming Ou, and John Homer. In Eighth Conference on Detection of Intrusions and Malware & Vulnerability Assessment<\/em>, July 2011.
\ncitation: 20
\nClick here to see the full paper<\/a><\/p>\n

“A Sound and Practical Approach to Quantifying Security Risk in Enterprise Networks.<\/a>” John Homer, Xinming Ou, and David Schmidt. Technical report, Kansas State University, August 2009.
\ncitation: 62<\/p>\n

“A Comprehensive Approach to Enterprise Network Security Management.<\/a>” John Homer. Ph.D. dissertation, Kansas State University, May 2009.
\ncitation: 8<\/p>\n

“SAT-Solving Approaches to Context-Aware Enterprise Network Security Management.<\/a>” John Homer and Xinming Ou. In IEEE Journal on Selected Areas in Communications<\/em>, special issue on Network Infrastructure Configuration, Volume 27, No. 3, April 2009.
\nh5-index: 83
\ncitation: 51
\nClick here to see the full article<\/a><\/p>\n

“Improving Attack Graph Visualization through Data Reduction and Attack Grouping.<\/a>” John Homer, Ashok Varikuti, Xinming Ou, and Miles McQueen. In 5th International Workshop on Visualization for Cyber Security<\/em>, Sept. 2008.
\ncitation: 74<\/p>\n

“SAT-Solving Approaches to Context-Aware Enterprise Network Security Management.” Presented at 5th Midwest Security Workshop, April 2008.<\/p>\n

“From Attack Graphs to Automated Configuration Management – an Iterative Approach.<\/a>” John Homer, Xinming Ou, and Miles McQueen. Technical report, Kansas State University, January 2008.
\ncitation: 7<\/p>\n

\n

Sources for impact data<\/b><\/p>\n

The significance of each work is shown, where possible, in the following data taken from Google Scholar<\/a> in August 2018:<\/p>\n