Travelled to:1 × Austria
1 × Belgium
1 × France
1 × Greece
1 × Ireland
1 × New Zealand
1 × Poland
1 × Switzerland
1 × The Netherlands
1 × United Kingdom
10 × USA
2 × Germany
2 × Hungary
2 × Portugal
4 × Canada
6 × Italy
Collaborated with:M.Pinzger P.Fenkam S.Dustdar E.Giger S.Boccuzzo M.Jazayeri J.Ratzinger P.Leitner M.Brandtner B.Fluri M.Fischer S.Panichella G.Ghezzi J.Oberleitner C.V.Alexandru A.D.Sorbo C.A.Visaggio G.Canfora M.Lanza R.Klösch ∅ S.Karus J.Cito E.Kirda E.Guzman T.Sigmund M.D'Ambros R.Schmidt R.Anzböck R.Mittermeir T.Fritz S.C.Müller Y.Zhou Y.Tong R.Gu Y.Guo M.Würsch J.Ekanayake J.Tappolet A.Bernstein K.Grafenhain P.Knab R.Geiger T.Gschwind G.Reif J.Weidl G.Trausmuth C.Vassallo F.Palomba A.Bacchelli G.Schermann A.Dadashi A.Keller A.Roth S.Chaki S.Jha H.Veith M.D.Penta José J. Merchante S.Proksch G.Robles J.Shimagaki S.Scalabrino G.Grano D.D.Nucci M.Guerra A.D.Lucia R.Oliveto
Talks about:softwar (15) chang (8) code (8) architectur (6) develop (6) evolut (6) mine (6) support (5) predict (5) visual (5)
Person: Harald C. Gall
DBLP: Gall:Harald_C=
Facilitated 1 volumes:
EdContributed to:
2015
2015
2015
2015
2015
2015
2015201420142013
201220122011
2011
20112010
20092009200820082008
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200720062006
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199719952015
201620182018Wrote 51 papers:
- ESEC-FSE-2015-CitoLFG #development #empirical
- The making of cloud applications: an empirical study on software development for the cloud (JC, PL, TF, HCG), pp. 393–403.
- ICPC-2015-SchermannBPLG #commit
- Discovering loners and phantoms in commit and issue data (GS, MB, SP, PL, HCG), pp. 4–14.
- ICSE-v2-2015-AlexandruG #agile #analysis #multi
- Rapid Multi-Purpose, Multi-Commit Code Analysis (CVA, HCG), pp. 635–638.
- ICSME-2015-PanichellaSGVCG #evolution #how #maintenance
- How can i improve my app? Classifying user reviews for software maintenance and evolution (SP, ADS, EG, CAV, GC, HCG), pp. 281–290.
- Onward-2015-CitoLGDKR #developer #feedback #metric #runtime #using
- Runtime metric meets developer: building better cloud applications using feedback (JC, PL, HCG, AD, AK, AR), pp. 14–27.
- SANER-2015-BrandtnerMLG #integration #named #process #rule-based
- SQA-Profiles: Rule-based activity profiles for Continuous Integration environments (MB, SCM, PL, HCG), pp. 301–310.
- SCAM-2015-BrandtnerLG #dependence #integration #source code #testing
- Intent, tests, and release dependencies: Pragmatic recipes for source code integration (MB, PL, HCG), pp. 11–20.
- CSMR-WCRE-2014-BrandtnerGG #integration #quality
- Supporting continuous integration by mashing-up software quality information (MB, EG, HCG), pp. 184–193.
- ICSME-2014-ZhouTGG #classification #data mining #debugging #mining
- Combining Text Mining and Data Mining for Bug Report Classification (YZ, YT, RG, HCG), pp. 311–320.
- MSR-2013-GhezziG #mining
- Replicating mining studies with SOFAS (GG, HCG), pp. 363–372.
- CSMR-2012-Gall #debugging #smell
- Keynote 1: LGTM — Software Sensing and Bug Smelling (HCG), pp. 3–4.
- MSR-2012-GigerPG #analysis #empirical #predict
- Can we predict types of code changes? An empirical analysis (EG, MP, HCG), pp. 217–226.
- MSR-2011-GigerPG #debugging #fine-grained #predict #source code
- Comparing fine-grained source code changes and code churn for bug prediction (EG, MP, HCG), pp. 83–92.
- MSR-2011-KarusG #case study #evolution #open source
- A study of language usage evolution in open source software (SK, HCG), pp. 13–22.
- WCRE-2011-GuoWGG #empirical #validation
- An Empirical Validation of the Benefits of Adhering to the Law of Demeter (YG, MW, EG, HCG), pp. 239–243.
- WICSA-2011-GhezziG #analysis #architecture #as a service #lightweight #named
- SOFAS: A Lightweight Architecture for Software Analysis as a Service (GG, HCG), pp. 93–102.
- ICPC-2010-BoccuzzoG #multi
- Multi-touch for Software Exploration (SB, HCG), pp. 54–55.
- ASE-2009-BoccuzzoG #automation #comprehension
- Automated Comprehension Tasks in Software Exploration (SB, HCG), pp. 570–574.
- MSR-2009-EkanayakeTGB #concept #fault #predict #quality #using
- Tracking concept drift of software projects using defect prediction quality (JE, JT, HCG, AB), pp. 51–60.
- ASE-2008-FluriGG
- Discovering Patterns of Change Types (BF, EG, HCG), pp. 463–466.
- ICPC-2008-PinzgerGKG #comprehension #dependence #source code #visual notation
- A Tool for Visual Understanding of Source Code Dependencies (MP, KG, PK, HCG), pp. 254–259.
- MSR-2008-RatzingerSG #fault #on the #predict #refactoring
- On the relation of refactorings and software defect prediction (JR, TS, HCG), pp. 35–38.
- FASE-2007-RatzingerPG #evolution #fault #named #predict
- EQ-Mine: Predicting Short-Term Defects for Software Evolution (JR, MP, HCG), pp. 12–26.
- VISSOFT-2007-BoccuzzoG #named #towards #visualisation
- CocoViz: Towards Cognitive Software Visualizations (SB, HCG), pp. 72–79.
- FASE-2006-GeigerFGP #clone tracking
- Relation of Code Clones and Change Couplings (RG, BF, HCG, MP), pp. 411–425.
- ICPC-2006-FluriG
- Classifying Change Types for Qualifying Change Couplings (BF, HCG), pp. 35–45.
- IWPC-2005-FischerOGG #analysis #evolution #execution
- System Evolution Tracking through Execution Trace Analysis (MF, JO, HCG, TG), pp. 237–246.
- MSR-2005-FischerORG #evolution #mining #product line
- Mining evolution data of a product family (MF, JO, JR, HCG), pp. 36–40.
- MSR-2005-RatzingerFG #refactoring
- Improving evolvability through refactoring (JR, MF, HCG), pp. 96–100.
- SOFTVIS-2005-PinzgerGFL #evolution #metric #multi #visualisation
- Visualizing multiple evolution metrics (MP, HCG, MF, ML), pp. 67–75.
- VISSOFT-2005-DAmbrosLG #cvs #development #visualisation
- Fractal Figures: Visualizing Development Effort for CVS Entities (MD, ML, HCG), pp. 46–51.
- PDP-2004-DustdarGS #collaboration #distributed #mobile #web #web service
- Web Services for Groupware in Distributed and Mobile Collaboration (SD, HCG, RS), p. 241–?.
- FASE-2003-FenkamGJ #specification
- Composing Specifications of Event Based Applications (PF, HCG, MJ), pp. 67–86.
- FME-2003-FenkamGJ #approach #concurrent
- Constructing Deadlock Free Event-Based Applications: A Rely/Guarantee Approach (PF, HCG, MJ), pp. 636–657.
- IWPC-2003-PinzgerOG #architecture #component #comprehension
- Analyzing and Understanding Architectural Characteristics of COM+ Components (MP, JO, HCG), pp. 54–63.
- PDP-2003-DustdarG #architecture #collaboration #distributed #mobile
- Architectural concerns in distributed and mobile collaborative systems (SD, HCG), pp. 475–483.
- SEKE-2003-ChakiFGJKV #framework #mobile #platform
- Integrating Publish/Subscribe into a Mobile Teamwork Support Platform (SC, PF, HCG, SJ, EK, HV), pp. 510–517.
- ASE-2002-FenkamGJ #automation #case study #testing
- Constructing Corba-Supported Oracles for Testing: A Case Study in Automated Software Testing (PF, HCG, MJ), pp. 129–138.
- IWPC-2002-PinzgerG #architecture
- Pattern-Supported Architecture Recovery (MP, HCG), pp. 53–61.
- RE-2002-FenkamGJ #case study #requirements #validation #visual notation
- Visual Requirements Validation: Case Study in a Corba-Supported Environment (PF, HCG, MJ), pp. 81–90.
- SEKE-2002-AnzbockDG #deployment
- Software configuration, distribution, and deployment of web-services (RA, SD, HCG), pp. 649–656.
- SEKE-2002-DustdarG #architecture #collaboration #distributed #mobile
- Architectural concerns in distributed and mobile collaborative systems (SD, HCG), pp. 521–522.
- SEKE-2002-KirdaFRG #architecture #mobile
- A service architecture for mobile teamwork (EK, PF, GR, HCG), pp. 513–518.
- WPC-1997-KloschWTs #component #comprehension #state machine
- Facilitating Program Comprehension via Generic Components for State Machines (RK, JW, GT, HCG), pp. 118–127.
- SEKE-1995-GallKM #reverse engineering
- Pattern-Driven Reverse Engineering (HCG, RK, RM), pp. 334–341.
- ASE-2015-SorboPVPCG #developer #development #email #mining
- Development Emails Content Analyzer: Intention Mining in Developer Discussions (T) (ADS, SP, CAV, MDP, GC, HCG), pp. 12–23.
- FSE-2016-PanichellaSGVCG #classification #development #named
- ARdoc: app reviews development oriented classifier (SP, ADS, EG, CAV, GC, HCG), pp. 1023–1027.
- FSE-2016-SorboPASVCG #recommendation #what
- What would users change in my app? summarizing app reviews for recommending software changes (ADS, SP, CVA, JS, CAV, GC, HCG), pp. 499–510.
- ASE-2018-ScalabrinoGNGLG #c #generative #named #search-based #testing
- OCELOT: a search-based test-data generation tool for C (SS, GG, DDN, MG, ADL, HCG, RO), pp. 868–871.
- ASE-2018-VassalloPBG #quality #question
- Continuous code quality: are we (really) doing that? (CV, FP, AB, HCG), pp. 790–795.
- Onward-2018-AlexandruMPPGR #on the
- On the usage of pythonic idioms (CVA, JJM, SP, SP, HCG, GR), pp. 1–11.