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Travelled to:
1 × Hungary
1 × India
1 × Ireland
1 × Romania
2 × France
2 × Switzerland
2 × The Netherlands
3 × Germany
4 × Italy
5 × Canada
5 × USA
Collaborated with:
I.Keivanloo P.Charland B.Korel W.J.Meng A.Hamou-Lhadj R.Witte J.Hassine C.K.Roy P.Schügerl V.Nguyen T.Klemola M.Lizotte S.P.Mudur B.Karanth C.Forbes Y.Zhang V.Haarslev A.Hmood M.Erfani Y.Zou C.Patel A.Rohatgi M.Shiri R.Dssouli O.Ormandjieva J.Wang S.P.Mudur H.F.Li D.Goswami A.Seffah C.Bouthlier F.Al-Omari L.Roostapour D.Gašević J.Z.Pan F.Chen A.v.Deursen J.Favre R.Koschke C.Neal G.Peristerakis
Talks about:
program (10) code (9) softwar (8) analysi (6) slice (6) comprehens (5) visual (5) semant (5) sourc (5) dynam (5)

♂ Person: Juergen Rilling

DBLP DBLP: Rilling:Juergen

Facilitated 5 volumes:

GTTSE 2015SciCo
SANER 2015InCo
SANER 2015PracticalTrackCh
SCAM 2013PrCh
SCAM 2013Ed

Contributed to:

ICSE 20142014
ICPC 20122012
ICSE 20122012
ICSM 20122012
MSR 20122012
WCRE 20122012
ICPC 20112011
WCRE 20112011
ICSM 20102010
CSMR 20092009
ICSM 20092009
ICPC 20082008
ASE 20072007
VISSOFT 20072007
ateM 20062006
IET Software, 20082008
RE 20052005
VISSOFT 20052005
ICSM 20042004
IWPC 20032003
VISSOFT 20032003
SCAM 20022002
VISSOFT 20022002
WCRE 20022002
SCAM 20012001
WCRE 20012001
IWPC 19981998
WPC 19971997

Wrote 31 papers:

ICSE-2014-KeivanlooRZ
Spotting working code examples (IK, JR, YZ), pp. 664–675.
ICPC-2012-KeivanlooRR #clone detection #detection #named #semantics
SeByte: A semantic clone detection tool for intermediate languages (IK, CKR, JR), pp. 247–249.
ICSE-2012-ForbesKR #challenge #navigation #open source #research
When open source turns cold on innovation — The challenges of navigating licensing complexities in new research domains (CF, IK, JR), pp. 1447–1448.
ICSM-2012-HmoodEKR #open source #predict
Applying technical stock market indicators to analyze and predict the evolvability of open source projects (AH, ME, IK, JR), pp. 613–616.
MSR-2012-KeivanlooFHENPR #framework #linked data #mining #open data #platform #repository
A Linked Data platform for mining software repositories (IK, CF, AH, ME, CN, GP, JR), pp. 32–35.
WCRE-2012-Al-OmariKRR #detection #dot-net #programming language
Detecting Clones Across Microsoft .NET Programming Languages (FAO, IK, CKR, JR), pp. 405–414.
ICPC-2011-KeivanlooRC #approach #clone detection #hybrid #named #realtime
SeClone — A Hybrid Approach to Internet-Scale Real-Time Code Clone Search (IK, JR, PC), pp. 223–224.
WCRE-2011-KeivanlooRC #clone detection #multi #realtime
Internet-scale Real-time Code Clone Search Via Multi-level Indexing (IK, JR, PC), pp. 23–27.
ICSM-2010-KeivanlooRSR #code search #framework #named #scalability #semantics #source code
SE-CodeSearch: A scalable Semantic Web-based source code search infrastructure (IK, LR, PS, JR), pp. 1–5.
CSMR-2009-PatelHR #clustering #dependence #dynamic analysis #using
Software Clustering Using Dynamic Analysis and Static Dependencies (CP, AHL, JR), pp. 27–36.
ICSM-2009-SchugerlRC #documentation #perspective #web
Beyond generated software documentation — A web 2.0 perspective (PS, JR, PC), pp. 547–550.
ICPC-2008-RillingWGP #maintenance #semantics
Semantic Technologies in System Maintenance (STSM 2008) (JR, RW, DG, JZP), pp. 279–282.
ICPC-2008-RohatgiHR #approach #dynamic analysis
An Approach for Mapping Features to Code Based on Static and Dynamic Analysis (AR, AHL, JR), pp. 236–241.
ASE-2007-ShiriHR #analysis #feature model #interactive #maintenance #perspective
Feature interaction analysis: a maintenance perspective (MS, JH, JR), pp. 437–440.
VISSOFT-2007-RillingMCC #perspective #process #visualisation
Software Visualization — A Process Perspective (JR, WJM, FC, PC), pp. 10–17.
ATEM-2006-RillingZMWHC #comprehension #maintenance #ontology #process
A Unified Ontology-Based Process Model for Software Maintenance and Comprehension (JR, YZ, WJM, RW, VH, PC), pp. 56–65.
ATEM-J-2006-ZhangWRH #approach #ontology #semantics #traceability
Ontological approach for the semantic recovery of traceability links between software artefacts (YZ, RW, JR, VH), pp. 185–203.
RE-2005-HassineRD #case study #semantics
An ASM Operational Semantics for Use Case Maps (JH, JR, RD), pp. 467–468.
VISSOFT-2005-RillingN #3d #analysis #comprehension #design pattern
Applying Code Analysis and 3D Design Pattern Grouping to Facilitate Program Comprehension (JR, VLN), pp. 123–124.
ICSM-2004-RillingMO #slicing
Context Driven Slicing Based Coupling Measure (JR, WJM, OO), p. 532.
IWPC-2003-DeursenFKR #case study #comprehension #education #evolution #experience
Experiences in Teaching Software Evolution and Program Comprehension (AvD, JMF, RK, JR), pp. 283–284.
IWPC-2003-RillingK #complexity #comprehension #identification #metric #slicing #using
Identifying Comprehension Bottlenecks Using Program Slicing and Cognitive Complexity Metric (JR, TK), pp. 115–124.
VISSOFT-2003-RillingL #architecture #challenge #visualisation
Challenges in Visualizing and Reconstructing Architectural Views (JR, ML), pp. 73–79.
VISSOFT-2003-RillingWM #3d #visualisation
MetaViz – Issues in Software Visualizing Beyond 3D (JR, JW, SPM), pp. 92–97.
SCAM-2002-RillingLG #message passing #slicing #source code
Predicate-Based Dynamic Slicing of Message Passing Programs (JR, HFL, DG), p. 133–?.
VISSOFT-2002-RillingSB #analysis #complexity #concept #source code #visualisation
The CONCEPT Project — Applying Source Code Analysis to Reduce Information Complexity of Static and Dynamic Visualization Techniques (JR, AS, CB), p. 90.
WCRE-2002-RillingM #3d #analysis #on the #source code #using #visual notation
On the Use of Metaballs to Visually Map Source Code Structures and Analysis Results onto 3D Space (JR, SPM), pp. 299–308.
SCAM-2001-RillingK #framework #hybrid #slicing
A Hybrid Program Slicing Framework (JR, BK), pp. 14–25.
WCRE-2001-Rilling #comprehension #functional
Maximizing Functional Cohesion of Comprehension Environments by Integrating User and Task Knowledge (JR), pp. 157–165.
IWPC-1998-KorelR #comprehension #scalability #slicing #source code
Program Slicing in Understanding of Large Programs (BK, JR), pp. 145–152.
WPC-1997-KorelR #comprehension #execution #slicing
Dynamic Program Slicing in Understanding of Program Execution (BK, JR), pp. 80–89.

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