Travelled to:
1 × Brazil
1 × Canada
1 × Denmark
1 × India
1 × New Zealand
1 × Switzerland
1 × Taiwan
1 × The Netherlands
1 × Turkey
2 × Germany
2 × Italy
3 × USA
Collaborated with:
A.Perez A.J.C.v.Gemund J.Campos H.Erdogmus P.Zoeteweij J.Santos A.González-Sanchez H.Groß A.Riboira J.Cunha J.P.Fernandes P.Martins J.Saraiva F.Koca H.Sözer F.Steimann M.Frenkel C.Gouveia T.Janssen B.Castro G.Fraser M.d'Amorim P.Casanova B.R.Schmerl D.Garlan W.Mayer M.Stumptner A.González A.Ozdemir A.Tosun D.Correia P.Santos J.Nadkarni T.Durieux F.Madeiral M.Martinez B.Hofer F.Wotawa E.Getzner
Talks about:
fault (15) local (12) base (9) softwar (5) test (5) empir (4) spectrum (3) monitor (3) automat (3) use (3)
Person: Rui Abreu
DBLP: Abreu:Rui
Contributed to:
Wrote 22 papers:
- ICSE-v2-2015-AbreuEP #fine-grained #monitoring #named
- CodeAware: Sensor-Based Fine-Grained Monitoring and Management of Software Artifacts (RA, HE, AP), pp. 551–554.
- ICPC-2014-PerezA #approach #comprehension
- A diagnosis-based approach to software comprehension (AP, RA), pp. 37–47.
- ICSME-2014-AbreuCFMPS #fault #smell #spreadsheet
- Smelling Faults in Spreadsheets (RA, JC, JPF, PM, AP, JS), pp. 111–120.
- ICSME-2014-AbreuCFMPS14a #detection #fault #locality #smell
- FaultySheet Detective: When Smells Meet Fault Localization (RA, JC, JPF, PM, AP, JS), pp. 625–628.
- ASE-2013-CamposAFd #fault #generative #locality #testing
- Entropy-based test generation for improved fault localization (JC, RA, GF, Md), pp. 257–267.
- FASE-2013-HoferRWAG #empirical #evaluation #fault #locality #on the #spreadsheet
- On the Empirical Evaluation of Fault Localization Techniques for Spreadsheets (BH, AR, FW, RA, EG), pp. 68–82.
- ICTSS-2013-KocaSA #concurrent #fault #locality
- Spectrum-Based Fault Localization for Diagnosing Concurrency Faults (FK, HS, RA), pp. 239–254.
- ISSTA-2013-SteimannFA #empirical #fault
- Threats to the validity and value of empirical assessments of the accuracy of coverage-based fault locators (FS, MF, RA), pp. 314–324.
- VISSOFT-2013-GouveiaCA #fault #html #locality #using #visualisation
- Using HTML5 visualizations in software fault localization (CG, JC, RA), pp. 1–10.
- ASE-2012-CamposRPA #debugging #eclipse #named #plugin #testing
- GZoltar: an eclipse plug-in for testing and debugging (JC, AR, AP, RA), pp. 378–381.
- ICTSS-2012-SantosA #automation #detection #fault #lightweight #monitoring
- Lightweight Automatic Error Detection by Monitoring Collar Variables (JS, RA), pp. 215–230.
- ASE-2011-Gonzalez-SanchezAGG #ambiguity #fault #locality #reduction #testing
- Prioritizing tests for fault localization through ambiguity group reduction (AGS, RA, HGG, AJCvG), pp. 83–92.
- ECSA-2011-CasanovaSGA #architecture #fault #runtime
- Architecture-Based Run-Time Fault Diagnosis (PC, BRS, DG, RA), pp. 261–277.
- SAC-2011-Gonzalez-SanchezAGG #empirical #fault #locality #testing
- An empirical study on the usage of testability information to fault localization in software (AGS, RA, HGG, AJCvG), pp. 1398–1403.
- ASE-2009-AbreuZG #fault #locality #multi
- Spectrum-Based Multiple Fault Localization (RA, PZ, AJCvG), pp. 88–99.
- ASE-2009-JanssenAG #automation #fault #locality #named #tool support
- Zoltar: A Toolset for Automatic Fault Localization (TJ, RA, AJCvG), pp. 662–664.
- SAC-2009-AbreuMSG #fault #locality #ranking
- Refining spectrum-based fault localization rankings (RA, WM, MS, AJCvG), pp. 409–414.
- SAC-2008-AbreuGZG #automation #fault #invariant #locality #using
- Automatic software fault localization using generic program invariants (RA, AG, PZ, AJCvG), pp. 712–717.
- ASE-2018-OzdemirTEA #lightweight #monitoring #source code
- Lightweight source code monitoring with Triggr (AO, AT, HE, RA), pp. 864–867.
- ASE-2019-CastroPA #locality #named #tool support
- Pangolin: An SFL-Based Toolset for Feature Localization (BC, AP, RA), pp. 1130–1133.
- ESEC-FSE-2019-CorreiaASN #multi #named #testing #using
- MOTSD: a multi-objective test selection tool using test suite diagnosability (DC, RA, PS, JN), pp. 1070–1074.
- ESEC-FSE-2019-DurieuxDMA #debugging #empirical #java #overview #program repair #scalability #tool support
- Empirical review of Java program repair tools: a large-scale experiment on 2, 141 bugs and 23, 551 repair attempts (TD, FM, MM, RA), pp. 302–313.