Travelled to:1 × Canada
1 × Cyprus
1 × France
1 × Greece
1 × Hungary
1 × Italy
1 × Portugal
2 × Sweden
6 × USA
Collaborated with:Jonathan Tremblay L.J.Hendren Jonathan Campbell G.B.Prokopski C.Dragert J.Kienzle C.J.F.Pickett Pedro Andrade Torres B.Dufour K.Driesen F.Qian D.Gu S.Pheng Z.Cao Martin Ashton Alexander Borodovski Navjot Singh Shuo Xu Hugo Scurti Mengxi Xoey Zhang B.Kemme M.Chevalier-Boisvert H.Xu P.Co Qihan Xu Q.Wang R.Brown M.Jukss D.Varró H.Vangheluwe P.Pominville R.Vallée-Rai H.Chen A.Krolik A.Denault Michael Hawker C.Goard O.d.Moor G.Sittampalam W.Wang D.Eng J.Jorgensen
Talks about:game (8) java (6) framework (5) dynam (5) stealth (4) softwar (3) program (3) analysi (3) player (3) measur (3)
Person: Clark Verbrugge
DBLP: Verbrugge:Clark
Contributed to:
2014
20102008
2008
2008
2007
2006200520042003
2003200220022001199620162020
20092011
2012201320132014
20142014201520162016201720172018Wrote 34 papers:
- SLE-2014-JukssVVV #model transformation
- Dynamic Scope Discovery for Model Transformations (MJ, CV, DV, HV), pp. 302–321.
- CC-2010-Chevalier-BoisvertHV #matlab #optimisation
- Optimizing Matlab through Just-In-Time Specialization (MCB, LJH, CV), pp. 46–65.
- CC-2008-ProkopskiV #safety #virtual machine
- Compiler-Guaranteed Safety in Code-Copying Virtual Machines (GBP, CV), pp. 163–177.
- CGO-2008-GuV #adaptation #virtual machine
- Phase-based adaptive recompilation in a JVM (DG, CV), pp. 24–34.
- OOPSLA-2008-ProkopskiV #performance #virtual machine
- Analyzing the performance of code-copying virtual machines (GBP, CV), pp. 403–422.
- PASTE-2007-XuPV #analysis #java #source code
- Dynamic purity analysis for java programs (HX, CJFP, CV), pp. 75–82.
- ICPC-2006-PhengV #analysis #data type #java #source code
- Dynamic Data Structure Analysis for Java Programs (SP, CV), pp. 191–201.
- PASTE-2005-PickettV #framework #java #multi #named #thread
- SableSpMT: a software framework for analysing speculative multithreading in Java (CJFP, CV), pp. 59–66.
- OOPSLA-2004-DufourGHMSV #aspectj #behaviour #source code
- Measuring the dynamic behaviour of AspectJ programs (BD, CG, LJH, OdM, GS, CV), pp. 150–169.
- OOPSLA-2003-DufourDHV #java #metric
- Dynamic metrics for java (BD, KD, LJH, CV), pp. 149–168.
- SOFTVIS-2003-WangWBDDHV #framework #named #visualisation
- EVolve: An Open Extensible Software Visualisation Framework (QW, WW, RB, KD, BD, LJH, CV), pp. 37–46.
- CC-2002-QianHV #approach #array #bound #java
- A Comprehensive Approach to Array Bounds Check Elimination for Java (FQ, LJH, CV), pp. 325–342.
- PASTE-2002-BrownDEHJVW #encoding #framework #named #performance
- STEP: a framework for the efficient encoding of general trace data (RB, KD, DE, LJH, JJ, CV, QW), pp. 27–34.
- CC-2001-PominvilleQVHV #framework #java #optimisation #using
- A Framework for Optimizing Java Using Attributes (PP, FQ, RVR, LJH, CV), pp. 334–354.
- CC-1996-VerbruggeCH #c #case study #constant
- Generalized Constant Propagation: A Study in C (CV, PC, LJH), pp. 74–90.
- CC-2016-CaoV #concurrent #memory management #thread
- Reducing memory buffering overhead in software thread-level speculation (ZC, CV), pp. 12–22.
- CC-2020-ChenKKVH #automation #database #performance #query
- Improving database query performance with automatic fusion (HC, AK, BK, CV, LJH), pp. 63–73.
- FDG-2009-KienzleVKDH #framework #game studies #multi #named #research
- Mammoth: a massively multiplayer game research framework (JK, CV, BK, AD, MH), pp. 308–315.
- FDG-2011-AshtonV
- Measuring cooperative gameplay pacing in World of Warcraft (MA, CV), pp. 77–83.
- AIIDE-2012-DragertKV
- Statechart-Based AI in Practice (CD, JK, CV).
- AIIDE-2013-DragertKV #composition #game studies #reuse #using
- Scythe AI: A Tool for Modular Reuse of Game AI (CD, JK, CV).
- FDG-2013-TremblayV #adaptation #game studies
- Adaptive companions in FPS games (JT, CV), pp. 229–236.
- AIIDE-2014-XuTV #game studies #generative
- Generative Methods for Guard and Camera Placement in Stealth Games (QX, JT, CV).
- CIG-2014-TremblayTV #algorithm #approach #game studies
- An algorithmic approach to analyzing combat and stealth games (JT, PAT, CV), pp. 1–8.
- FDG-2014-TremblayDV #game studies
- Target selection for AI companions in FPS games (JT, CD, CV).
- FDG-2014-TremblayTV #game studies
- Measuring risk in stealth games (JT, PAT, CV).
- FDG-2015-CampbellTV #clustering
- Clustering Player Paths (JC, JT, CV).
- AIIDE-2016-BorodovskiV #game studies
- Analyzing Stealth Games with Distractions (AB, CV), pp. 129–135.
- AIIDE-2016-SinghV #2d #analysis
- Staying Hidden: An Analysis of Hiding Strategies in a 2D Level with Occlusions (NS, CV), pp. 72–78.
- CIG-2016-XuV #heuristic
- Heuristics for sleep and heal in combat (SX, CV), pp. 1–8.
- AIIDE-2017-CampbellV #learning
- Learning Combat in NetHack (JC, CV), pp. 16–22.
- FDG-2017-CampbellV #using
- Exploration in NetHack using occupancy maps (JC, CV), p. 4.
- AIIDE-2018-ScurtiV #generative
- Generating Paths with WFC (HS, CV), pp. 271–274.
- AIIDE-2018-ZhangV #comprehension #modelling
- Modelling Player Understanding of Non-Player Character Paths (MXZ, CV), pp. 257–264.