ZANONI, MARCO

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ZANONI, MARCO

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DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE

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Toward a Smell-aware Bug Prediction Model

2019 Palomba, F; Zanoni, M; Arcelli Fontana, F; De Lucia, A; Oliveto, R

Machine learning based code smell detection through WekaNose

2018 Azadi, U; Arcelli Fontana, F; Zanoni, M

Towards an Architectural Debt Index

2018 Roveda, R; Arcelli Fontana, F; Pigazzini, I; Zanoni, M

Alternatives to the Knowledge Discovery Metamodel: An Investigation

2017 ARCELLI FONTANA, F; Raibulet, C; Zanoni, M

Arcan: A tool for architectural smells detection

2017 ARCELLI FONTANA, F; Pigazzini, I; Roveda, R; Tamburri, D; Zanoni, M; Nitto, E

Automatic detection of instability architectural smells

2017 ARCELLI FONTANA, F; Pigazzini, I; Roveda, R; Zanoni, M

Change prediction through coding rules violations

2017 Tollin, I; Arcelli Fontana, F; Zanoni, M; Roveda, R

Code smell severity classification using machine learning techniques

2017 ARCELLI FONTANA, F; Zanoni, M

Does the migration to GitHub relate to internal software quality?

2017 Roveda, R; ARCELLI FONTANA, F; Raibulet, C; Zanoni, M; Rampazzo, F

IEEE International Workshop on Machine Learning Techniques for Software Quality Evaluation

2017 ARCELLI FONTANA, F; Walter, B; Zanoni, M

Model-driven reverse engineering approaches: A systematic literature review

2017 Raibulet, C; ARCELLI FONTANA, F; Zanoni, M

Smells like teen spirit: Improving bug prediction performance using the intensity of code smells

2017 Palomba, F; Zanoni, M; Arcelli Fontana, F; De Lucia, A; Oliveto, R

An experience report on detecting and repairing software architecture erosion

2016 ARCELLI FONTANA, F; Roveda, R; Zanoni, M; Raibulet, C; Capilla, R

Anti-pattern and code smell false positives: Preliminary conceptualisation and classification

2016 ARCELLI FONTANA, F; Dietrich, J; Walter, B; Yamashita, A; Zanoni, M

Comparing and experimenting machine learning techniques for code smell detection

2016 ARCELLI FONTANA, F; Mäntylä, M; Zanoni, M; Marino, A

Technical Debt Indexes Provided by Tools: A Preliminary Discussion

2016 ARCELLI FONTANA, F; Roveda, R; Zanoni, M

Tool support for evaluating architectural debt of an existing system: An experience report

2016 ARCELLI FONTANA, F; Roveda, R; Zanoni, M

A context-aware style of software design

2015 ARCELLI FONTANA, F; Braione, P; Roveda, R; Zanoni, M

A duplicated code refactoring advisor

2015 ARCELLI FONTANA, F; Zanoni, M; Zanoni, F

Automatic metric thresholds derivation for code smell detection

2015 ARCELLI FONTANA, F; Ferme, V; Zanoni, M; Yamashita, A

Titolo	Tipologia	Data di pubblicazione	Autori
Toward a Smell-aware Bug Prediction Model	01 - Articolo su rivista	2019	Palomba, FZanoni, MArcelli Fontana, FDe Lucia, AOliveto, R. + -
Machine learning based code smell detection through WekaNose	02 - Intervento a convegno	2018	Azadi, UArcelli Fontana, FZanoni, M + -
Towards an Architectural Debt Index	02 - Intervento a convegno	2018	Roveda, RArcelli Fontana, FPigazzini, IZanoni, M
Alternatives to the Knowledge Discovery Metamodel: An Investigation	01 - Articolo su rivista	2017	ARCELLI FONTANA, FRANCESCARAIBULET, CLAUDIAZANONI, MARCO
Arcan: A tool for architectural smells detection	02 - Intervento a convegno	2017	ARCELLI FONTANA, FRANCESCAPigazzini, IROVEDA, RICCARDOTamburri, DZANONI, MARCONitto, E. + -
Automatic detection of instability architectural smells	02 - Intervento a convegno	2017	ARCELLI FONTANA, FRANCESCAPigazzini, IROVEDA, RICCARDOZANONI, MARCO
Change prediction through coding rules violations	02 - Intervento a convegno	2017	Tollin, IArcelli Fontana FZanoni, MRoveda, R + -
Code smell severity classification using machine learning techniques	01 - Articolo su rivista	2017	ARCELLI FONTANA, FRANCESCAZANONI, MARCO
Does the migration to GitHub relate to internal software quality?	02 - Intervento a convegno	2017	ROVEDA, RICCARDOARCELLI FONTANA, FRANCESCARAIBULET, CLAUDIAZanoni, MRampazzo, F. + -
IEEE International Workshop on Machine Learning Techniques for Software Quality Evaluation	02 - Intervento a convegno	2017	ARCELLI FONTANA, FRANCESCAWalter, BZANONI, MARCO + -
Model-driven reverse engineering approaches: A systematic literature review	01 - Articolo su rivista	2017	RAIBULET, CLAUDIAARCELLI FONTANA, FRANCESCAZANONI, MARCO
Smells like teen spirit: Improving bug prediction performance using the intensity of code smells	02 - Intervento a convegno	2017	Palomba, FZanoni, MArcelli Fontana, FDe Lucia, AOliveto, R + -
An experience report on detecting and repairing software architecture erosion	02 - Intervento a convegno	2016	ARCELLI FONTANA, FRANCESCAROVEDA, RICCARDOZANONI, MARCORAIBULET, CLAUDIACapilla, R. + -
Anti-pattern and code smell false positives: Preliminary conceptualisation and classification	02 - Intervento a convegno	2016	ARCELLI FONTANA, FRANCESCADietrich, JWalter, BYamashita, AZANONI, MARCO + -
Comparing and experimenting machine learning techniques for code smell detection	01 - Articolo su rivista	2016	ARCELLI FONTANA, FRANCESCAMäntylä, MZANONI, MARCOMarino, A. + -
Technical Debt Indexes Provided by Tools: A Preliminary Discussion	02 - Intervento a convegno	2016	ARCELLI FONTANA, FRANCESCAROVEDA, RICCARDOZANONI, MARCO
Tool support for evaluating architectural debt of an existing system: An experience report	02 - Intervento a convegno	2016	ARCELLI FONTANA, FRANCESCAROVEDA, RICCARDOZANONI, MARCO
A context-aware style of software design	02 - Intervento a convegno	2015	ARCELLI FONTANA, FRANCESCABRAIONE, PIETROROVEDA, RICCARDOZANONI, MARCO
A duplicated code refactoring advisor	02 - Intervento a convegno	2015	ARCELLI FONTANA, FRANCESCAZANONI, MARCOZanoni, F. + -
Automatic metric thresholds derivation for code smell detection	02 - Intervento a convegno	2015	ARCELLI FONTANA, FRANCESCAFerme, VZANONI, MARCOYamashita, A. + -

Bicocca Open Archive

ZANONI, MARCO

Toward a Smell-aware Bug Prediction Model

Machine learning based code smell detection through WekaNose

Towards an Architectural Debt Index

Alternatives to the Knowledge Discovery Metamodel: An Investigation

Arcan: A tool for architectural smells detection

Automatic detection of instability architectural smells

Change prediction through coding rules violations

Code smell severity classification using machine learning techniques

Does the migration to GitHub relate to internal software quality?

IEEE International Workshop on Machine Learning Techniques for Software Quality Evaluation

Model-driven reverse engineering approaches: A systematic literature review

Smells like teen spirit: Improving bug prediction performance using the intensity of code smells

An experience report on detecting and repairing software architecture erosion

Anti-pattern and code smell false positives: Preliminary conceptualisation and classification

Comparing and experimenting machine learning techniques for code smell detection

Technical Debt Indexes Provided by Tools: A Preliminary Discussion

Tool support for evaluating architectural debt of an existing system: An experience report

A context-aware style of software design

A duplicated code refactoring advisor

Automatic metric thresholds derivation for code smell detection