Travelled to:
1 × Austria
1 × Canada
1 × France
1 × Germany
1 × Greece
1 × Ireland
1 × New Zealand
1 × Romania
1 × Switzerland
1 × United Kingdom
2 × Spain
2 × The Netherlands
2 × USA
3 × Portugal
4 × Italy
Collaborated with:
A.D.Lucia M.Risi V.Deufemia G.Scanniello G.Tortora F.Ferrucci G.Costagliola R.Oliveto F.Sarro G.Tortora G.Bavota M.Genero J.A.Cruz-Lemus L.D'Avanzo P.Salza A.Marcus T.Menzies U.Erra G.Caggianese S.D.Martino S.Romano C.Pirolli G.Vitiello
Talks about:
pattern (11) design (10) model (10) code (7) comprehens (6) diagram (6) develop (6) analysi (6) visual (6) class (6)
Person: Carmine Gravino
DBLP: Gravino:Carmine
Facilitated 0 volumes:
Contributed to:
Wrote 29 papers:
- ICSME-2015-LuciaDGR #automation #behaviour #design pattern #detection #dynamic analysis #towards
- Towards automating dynamic analysis for behavioral design pattern detection (ADL, VD, CG, MR), pp. 161–170.
- ICSME-2015-LuciaDGRP #behaviour #design pattern #detection #named
- ePadEvo: A tool for the detection of behavioral design patterns (ADL, VD, CG, MR, CP), pp. 327–329.
- SAC-2015-DAvanzoFGS #estimation #functional #metric #mobile
- COSMIC functional measurement of mobile applications and code size estimation (LD, FF, CG, PS), pp. 1631–1636.
- ASE-2013-ScannielloGMM #clustering #fault #predict #using
- Class level fault prediction using software clustering (GS, CG, AM, TM), pp. 640–645.
- CSMR-2013-ScannielloECG #gpu #using
- Using the GPU to Green an Intensive and Massive Computation System (GS, UE, GC, CG), pp. 384–387.
- CSMR-2013-ScannielloGT #comprehension #diagrams #sequence chart #source code
- An Early Investigation on the Contribution of Class and Sequence Diagrams in Source Code Comprehension (GS, CG, GT), pp. 367–370.
- MoDELS-2012-GravinoRST #comprehension #design pattern #developer #documentation #replication #source code
- Do Professional Developers Benefit from Design Pattern Documentation? A Replication in the Context of Source Code Comprehension (CG, MR, GS, GT), pp. 185–201.
- SAC-2012-SarroFG #development #estimation #multi #programming #search-based
- Single and Multi Objective Genetic Programming for software development effort estimation (FS, FF, CG), pp. 1221–1226.
- SAC-2012-SarroMFG #algorithm #analysis #fault #predict #search-based #using
- A further analysis on the use of Genetic Algorithm to configure Support Vector Machines for inter-release fault prediction (FS, SDM, FF, CG), pp. 1215–1220.
- ICSM-2011-RomanoSRG #clustering #design pattern #source code
- Clustering and lexical information support for the recovery of design pattern in source code (SR, GS, MR, CG), pp. 500–503.
- MoDELS-2011-BavotaGOLTGC #comprehension #diagrams #identification #uml
- Identifying the Weaknesses of UML Class Diagrams during Data Model Comprehension (GB, CG, RO, ADL, GT, MG, JACL), pp. 168–182.
- MoDELS-J-2011-BavotaGOLTGC15 #analysis #diagrams #fine-grained #maintenance #uml
- A fine-grained analysis of the support provided by UML class diagrams and ER diagrams during data model maintenance (GB, CG, RO, ADL, GT, MG, JACL), pp. 287–306.
- WCRE-2011-GravinoRST #comprehension #design pattern #documentation #source code
- Does the Documentation of Design Pattern Instances Impact on Source Code Comprehension? Results from Two Controlled Experiments (CG, MR, GS, GT), pp. 67–76.
- CSMR-2010-LuciaDGR #behaviour #design pattern #detection #model checking
- Improving Behavioral Design Pattern Detection through Model Checking (ADL, VD, CG, MR), pp. 176–185.
- ICEIS-DISI-2010-FerrucciGOS #development #using
- Estimating Software Development Effort using Tabu Search (FF, CG, RO, FS), pp. 236–241.
- ICEIS-ISAS-2010-ScannielloGT #bibliography #industrial #maintenance #modelling #uml
- Investigating the Role of UML in the Software Modeling and Maintenance — A Preliminary Industrial Survey (GS, CG, GT), pp. 141–148.
- ICSM-2010-LuciaDGR #design pattern #detection #dynamic analysis #eclipse #plugin
- An Eclipse plug-in for the detection of design pattern instances through static and dynamic analysis (ADL, VD, CG, MR), pp. 1–6.
- SAC-2010-GravinoTS #analysis #comprehension #empirical #modelling #source code
- An empirical investigation on the relation between analysis models and source code comprehension (CG, GT, GS), pp. 2365–2366.
- CSMR-2009-LuciaDGR #behaviour #identification #parsing #visual notation
- Behavioral Pattern Identification through Visual Language Parsing and Code Instrumentation (ADL, VD, CG, MR), pp. 99–108.
- CSMR-2008-LuciaGOT #diagrams #maintenance #modelling #process #uml
- Assessing the Support of ER and UML Class Diagrams during Maintenance Activities on Data Models (ADL, CG, RO, GT), pp. 173–182.
- ICPC-2008-LuciaGOT #comparison #comprehension #diagrams #empirical #uml
- Data Model Comprehension: An Empirical Comparison of ER and UML Class Diagrams (ADL, CG, RO, GT), pp. 93–102.
- MoDELS-2008-GravinoST #empirical #modelling #requirements
- An Empirical Investigation on Dynamic Modeling in Requirements Engineering (CG, GS, GT), pp. 615–629.
- CSMR-2007-LuciaDGR #approach #design pattern
- A Two Phase Approach to Design Pattern Recovery (ADL, VD, CG, MR), pp. 297–306.
- CSMR-2006-CostagliolaLDGR #case study #design pattern #visual notation
- Case Studies of Visual Language Based Design Patterns Recovery (GC, ADL, VD, CG, MR), pp. 165–174.
- CSMR-2005-CostagliolaLDGR #design pattern #parsing #visual notation
- Design Pattern Recovery by Visual Language Parsing (GC, ADL, VD, CG, MR), pp. 102–111.
- ICEIS-v3-2004-CostagliolaDFG #modelling #visual notation
- A User-Centered Methodology to Generate Visual Modeling Environments (GC, VD, FF, CG), pp. 147–154.
- SEKE-2004-CostagliolaFGTV #development #predict #using #web
- Using COSMIC-FFP for Predicting Web Application Development Effort (GC, FF, CG, GT, GV), pp. 439–444.
- LDTA-2003-CostagliolaDFG #analysis #development #visual notation
- Exploiting XPG for Visual Languages: Definition, Analysis and Development (GC, VD, FF, CG), pp. 612–627.
- SEKE-2002-CostagliolaDFG #modelling #using #visual notation
- Using extended positional grammars to develop visual modeling languages (GC, VD, FF, CG), pp. 201–208.