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Chris Theisen

Theoretical scientist. By which I mean I'm theoretically a scientist.

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Publications

Overview

I try to curate my Google Scholar profile as much as possible.

[ICSE - SEIP ‘17] Risk-Based Attack Surface Approximation: How Much Data is Enough?

Chris Theisen, Kim Herzig, Brendan Murphy, and Laurie Williams, “Risk-Based Attack Surface Approximation: How Much Data is Enough?”, in Companion Proceedings of the 39th International Conference on Software Engineering. pp. 273-282 PDF

[ICSE - CI ‘17] Writing Good Software Engineering Research Papers: Revisited

Chris Theisen, Marcel Dunaiski, Willem Visser, and Laurie Williams, “Writing Good Software Engineering Research Papers: Revisited”, in Companion Proceedings of the 39th International Conference on Software Engineering. pp. 402 PDF

[ACM - SRC Finals ‘16] Risk-Based Attack Surface Approximation - 3rd Place, Graduate

Chris Theisen, “Risk-Based Attack Surface Approximation”, ACM Student Research Competition Grand Finals, 2016. PDF

[ICSE - DS ‘16] Reusing Stack Traces: Automated Attack Surface Approximation

Chris Theisen, “Reusing Stack Traces: Automated Attack Surface Approximation”, 38th International Conference on Software Engineering - Doctoral Symposium. pp. 859-862 PDF

[ICSE - SEIT ‘16] Software Security Education At Scale

Chris Theisen, Laurie Williams, Emerson Murphy-Hill, and Kevin Oliver, “Software Security Education at Scale”, Companion Proceedings of the 38th International Conference on Software Engineering. pp. 346-355 PDF

[HoTSoS - Poster ‘16] Poster: Risk-Based Attack Surface Approximation

Chris Theisen, and Laurie Williams, “Poster: Risk-Based Attack Surface Approximation”, HotSoS 2016. pp. 121-123 PDF

[FSE - SRC ‘15] Automated Attack Surface Approximation - 1st Place, Graduate

Chris Theisen, “Automated Attack Surface Approximation”, in the 23rd ACM SIGSOFT International Symposium on the Foundations of Software Engineering - Student Research Competition, 2015, pp. 1063-1065. PDF

[ICSE - SEIP ‘15] Approximating Attack Surfaces with Stack Traces

Chris Theisen, Kim Herzig, Pat Morrison, Brendan Murphy, and Laurie Williams, “Approximating Attack Surfaces with Stack Traces”, in Companion Proceedings of the 37th International Conference on Software Engineering. PDF