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1دورية أكاديمية
المؤلفون: Claudia Raibulet, Francesca Arcelli Fontana, Marco Zanoni
المصدر: IEEE Access, Vol 5, Pp 14516-14542 (2017)
مصطلحات موضوعية: Models, reverse engineering, model-driven reverse engineering, model transformation, legacy system, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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المؤلفون: Marco Zanoni, Jiahao Wang, Jose Torero, Jason Gerhard
المصدر: SSRN Electronic Journal.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::80b1bd72b87b1e864781ae04fe83987c
https://doi.org/10.2139/ssrn.4013196 -
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المؤلفون: Claudia Raibulet, Francesca Arcelli Fontana, Marco Zanoni
المساهمون: ARCELLI FONTANA, F, Raibulet, C, Zanoni, M
المصدر: International Journal of Software Engineering and Knowledge Engineering. 27:1097-1128
مصطلحات موضوعية: Reverse engineering, Engineering, Exploit, Computer Networks and Communications, 02 engineering and technology, computer.software_genre, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Software mining, Knowledge Discovery Metamodel, Abstraction (linguistics), model driven reverse engineering, business.industry, Program comprehension, INF/01 - INFORMATICA, 020207 software engineering, Object (computer science), Computer Graphics and Computer-Aided Design, reverse engineering, 020201 artificial intelligence & image processing, Data mining, Software engineering, business, computer, Software, Software evolution, Model
وصف الملف: ELETTRONICO
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27004f6e651d0f4af4cc092db3836b36
https://doi.org/10.1142/s0218194017500413 -
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المؤلفون: Francesca Arcelli Fontana, Marco Zanoni
المساهمون: ARCELLI FONTANA, F, Zanoni, M
المصدر: Knowledge-Based Systems. 128:43-58
مصطلحات موضوعية: Ordinal classification, Ordinal data, Information Systems and Management, Refactoring prioritization, Computer science, Code smells detection, Maintainability, 02 engineering and technology, Code smell severity, Machine learning, computer.software_genre, ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI, Management Information Systems, Multiclass classification, Software, Artificial Intelligence, Management Information System, 0202 electrical engineering, electronic engineering, information engineering, business.industry, INF/01 - INFORMATICA, Code smell, 020207 software engineering, Ranking, Code refactoring, Binary classification, 020201 artificial intelligence & image processing, Artificial intelligence, Data mining, business, computer
وصف الملف: ELETTRONICO
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المؤلفون: Marco Zanoni, Claudia Raibulet, Francesca Arcelli Fontana
المساهمون: Raibulet, C, ARCELLI FONTANA, F, Zanoni, M
المصدر: IEEE Access, Vol 5, Pp 14516-14542 (2017)
مصطلحات موضوعية: Reverse engineering, legacy system, General Computer Science, Computer science, Process (engineering), 02 engineering and technology, computer.software_genre, Extensibility, Object-oriented modeling, Models, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, business.industry, General Engineering, INF/01 - INFORMATICA, model transformation, Object oriented modeling, 020207 software engineering, Automation, reverse engineering, model-driven reverse engineering, Transformation (function), Systematic review, 020201 artificial intelligence & image processing, lcsh:Electrical engineering. Electronics. Nuclear engineering, Software engineering, business, computer, lcsh:TK1-9971, Model
وصف الملف: ELETTRONICO
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المساهمون: Palomba, F, Zanoni, M, Arcelli Fontana, F, De Lucia, A, Oliveto, R
المصدر: IEEE Transactions on Software Engineering, 45(2)
مصطلحات موضوعية: Computer science, Entropy, Maintainability, 02 engineering and technology, Code smell, Machine learning, computer.software_genre, ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI, Bug Prediction, Code Smells, Complexity theory, Computer bugs, Empirical Study, Indexes, Measurement, Mining Software Repositories, Predictive models, Software, empirical study, Code Smells, Bug Prediction, Empirical Study, Mining Software Repositories, Software_SOFTWAREENGINEERING, 0202 electrical engineering, electronic engineering, information engineering, mining software repositorie, mining software repositories, business.industry, bug prediction, INF/01 - INFORMATICA, 020207 software engineering, Software quality, Software bug, Artificial intelligence, business, Algorithm, computer, Code smells
وصف الملف: application/pdf; STAMPA
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المؤلفون: Federica Canzan, Pierpaolo Marchetti, Olivia Marognolli, Elisabetta Allegrini, Nadia Mansueti, Marco Zanoni, Elisa Ambrosi
المساهمون: Federica, Canzan, Pierpaolo, Marchetti, Olivia, Marognolli, Elisabetta, Allegrini, Nadia, Mansueti, Marco, Zanoni, Elisa, Ambrosi
وصف الملف: STAMPA
URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______4094::7959241c86c43094200ccd1cc351dbee
http://hdl.handle.net/11585/618824 -
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المساهمون: Bures T.,Angelis L., Roveda, R, Arcelli Fontana, F, Pigazzini, I, Zanoni, M
المصدر: SEAA
مصطلحات موضوعية: History, Index (economics), Dependency (UML), architectural smell, Computer science, media_common.quotation_subject, oftware quality, 02 engineering and technology, Electronic mail, architectural smell detection, architectural debt indicator, 020204 information systems, Debt, 0202 electrical engineering, electronic engineering, information engineering, Code (cryptography), Indexe, Computer architecture, everity index, media_common, software architecture, Measurement, business.industry, code level issue, INF/01 - INFORMATICA, 020207 software engineering, Software quality, Software metric, oftware metric, architectural debt index, technical debt, Technical debt, Tool, Software engineering, business, Estimation
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::febbd907b98f744dc2170e6bccf4ea4a
https://doi.org/10.1109/seaa.2018.00073