Source Code Interoperability based on Ontology
Resumo
The different ways of representing a source code in different programming languages create a heterogeneous context. In addition, the use of multiple programming languages in a single source code (polyglot programming) brings a wide choice of terms from different languages, libraries and structures. These facts prevent the direct exchange of information between source codes of different programming languages, requiring specialized knowledge of the programming languages involved. In this article, we present an ontology-based method for source code interoperability that provides an alternative to mitigate heterogeneity problems, aiming to semantically represent the source code written in different programming languages and apply it from different perspectives in a unified way. In this sense, the method is applied in a lab experiment with the objective of validating its methodological aspects, instantiating their respective phases in different subdomains (object orientation and object/relational mapping) and programming languages (Java and Python) in the code smells detection perspective. In addition, the code smell detector produced is evaluated with a set of real-world software projects written in Java and Python.
Palavras-chave:
interoperabity, ontology, source code, code smell detection
Referências
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Luis Paulo da Silva Carvalho, Renato Lima Novais, Laís do Nascimento Salvador, and Manoel Gomes de Mendonça Neto. 2017. An Ontology-based Approach to Analyzing the Occurrence of Code Smells in Software. In Prof. of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS. ScitePress, 155–165.
Phongphan Danphitsanuphan and Thanitta Suwantada. 2012. Code smell detecting tool and code smell-structure bug relationship. In 2012 Spring Congress on Engineering and Technology. IEEE, 1–5.
Camila Zacché de Aguiar, Ricardo de Almeida Falbo, and Vítor E Silva Souza. 2019. OOC-O: A reference ontology on object-oriented code. In International Conference on Conceptual Modeling. Springer, 13–27.
Ricardo A. Falbo. 2014. SABiO: Systematic Approach for Building Ontologies. In Proc. of the 1st Joint Workshop ONTO.COM / ODISE on Ontologies in Conceptual Modeling and Information Systems Engineering. CEUR, Rio de Janeiro, RJ, Brasil.
J Gosling, B Joy, G Steele, G Bracha, A Buckley, and D Smith. 2018. The Java language specification: Java SE 10 edition, 20 February 2018.
Giancarlo Guizzardi. 2005. Ontological Foundations for Structural Conceptual Models. PhD Thesis. University of Twente, The Netherlands.
Giancarlo Guizzardi. 2019. Ontology, Ontologies and the “I” of FAIR Giancarlo. Data Intelligence 23, November (2019), 0–2. https://doi.org/10.1162/dint
Giancarlo Guizzardi and Gerd Wagner. 2004. A Unified Foundational Ontology and some Applications of it in Business Modeling. In Proc. of the 2004 Open InterOp Workshop on Enterprise Modelling and Ontologies for Interoperability. CEUR.
Christoph Kiefer, Abraham Bernstein, and Jonas Tappolet. 2007. Analyzing software with iSPARQL. In Proc. of the 3rd International Workshop on Semantic Web Enabled Software Engineering. 1–15.
Rohit Kumar and Jaspreet Singh. 2016. A unique code smell detection and refactoring scheme for evaluating software maintainability. International Journal of Latest Trends in Engineering and Technology 7 (2016), 421–436.
Naouel Moha, Yann-Gael Gueheneuc, Laurence Duchien, and Anne-Francoise Le Meur. 2009. Decor: A method for the specification and detection of code and design smells. IEEE Transactions on Software Engineering 36, 1 (2009), 20–36.
Ghulam Rasool and Zeeshan Arshad. 2017. A lightweight approach for detection of code smells. Arabian Journal for Science and Engineering 42, 2 (2017), 483–506.
Amit P. Sheth. 1999. Changing Focus on Interoperability in Information Systems: from Systems, Syntax, Structures to Semantics. Interoperating Geographic Information Systems (1999).
Rudi Studer, V Richard Benjamins, and Dieter Fensel. 1998. Knowledge engineering: principles and methods. Data & knowledge engineering 25, 1-2 (1998), 161–197.
Ewan Tempero, Craig Anslow, Jens Dietrich, Ted Han, Jing Li, Markus Lumpe, Hayden Melton, and James Noble. 2010. Qualitas Corpus: A Curated Collection of Java Code for Empirical Studies. In Proc. of the 2010 Asia Pacific Software Engineering Conference (APSEC2010). IEEE, 336–345.
Claes Wohlin, Per Runeson, Martin Höst, Magnus C Ohlsson, Björn Regnell, and Anders Wesslén. 2012. Experimentation in software engineering. Springer.
Félix Luiz Zanetti, Camila Zacche de Aguiar, and Vıtor E Silva Souza. 2019. Representacao ontologica de frameworks de mapeamento objeto/relacional. In Proc. of the 12th Seminar on Ontology Research in Brazil (ONTOBRAS 2019). CEUR, Porto Alegre, RS, Brasil.
Luis Paulo da Silva Carvalho, Renato Lima Novais, Laís do Nascimento Salvador, and Manoel Gomes de Mendonça Neto. 2017. An Ontology-based Approach to Analyzing the Occurrence of Code Smells in Software. In Prof. of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS. ScitePress, 155–165.
Phongphan Danphitsanuphan and Thanitta Suwantada. 2012. Code smell detecting tool and code smell-structure bug relationship. In 2012 Spring Congress on Engineering and Technology. IEEE, 1–5.
Camila Zacché de Aguiar, Ricardo de Almeida Falbo, and Vítor E Silva Souza. 2019. OOC-O: A reference ontology on object-oriented code. In International Conference on Conceptual Modeling. Springer, 13–27.
Ricardo A. Falbo. 2014. SABiO: Systematic Approach for Building Ontologies. In Proc. of the 1st Joint Workshop ONTO.COM / ODISE on Ontologies in Conceptual Modeling and Information Systems Engineering. CEUR, Rio de Janeiro, RJ, Brasil.
J Gosling, B Joy, G Steele, G Bracha, A Buckley, and D Smith. 2018. The Java language specification: Java SE 10 edition, 20 February 2018.
Giancarlo Guizzardi. 2005. Ontological Foundations for Structural Conceptual Models. PhD Thesis. University of Twente, The Netherlands.
Giancarlo Guizzardi. 2019. Ontology, Ontologies and the “I” of FAIR Giancarlo. Data Intelligence 23, November (2019), 0–2. https://doi.org/10.1162/dint
Giancarlo Guizzardi and Gerd Wagner. 2004. A Unified Foundational Ontology and some Applications of it in Business Modeling. In Proc. of the 2004 Open InterOp Workshop on Enterprise Modelling and Ontologies for Interoperability. CEUR.
Christoph Kiefer, Abraham Bernstein, and Jonas Tappolet. 2007. Analyzing software with iSPARQL. In Proc. of the 3rd International Workshop on Semantic Web Enabled Software Engineering. 1–15.
Rohit Kumar and Jaspreet Singh. 2016. A unique code smell detection and refactoring scheme for evaluating software maintainability. International Journal of Latest Trends in Engineering and Technology 7 (2016), 421–436.
Naouel Moha, Yann-Gael Gueheneuc, Laurence Duchien, and Anne-Francoise Le Meur. 2009. Decor: A method for the specification and detection of code and design smells. IEEE Transactions on Software Engineering 36, 1 (2009), 20–36.
Ghulam Rasool and Zeeshan Arshad. 2017. A lightweight approach for detection of code smells. Arabian Journal for Science and Engineering 42, 2 (2017), 483–506.
Amit P. Sheth. 1999. Changing Focus on Interoperability in Information Systems: from Systems, Syntax, Structures to Semantics. Interoperating Geographic Information Systems (1999).
Rudi Studer, V Richard Benjamins, and Dieter Fensel. 1998. Knowledge engineering: principles and methods. Data & knowledge engineering 25, 1-2 (1998), 161–197.
Ewan Tempero, Craig Anslow, Jens Dietrich, Ted Han, Jing Li, Markus Lumpe, Hayden Melton, and James Noble. 2010. Qualitas Corpus: A Curated Collection of Java Code for Empirical Studies. In Proc. of the 2010 Asia Pacific Software Engineering Conference (APSEC2010). IEEE, 336–345.
Claes Wohlin, Per Runeson, Martin Höst, Magnus C Ohlsson, Björn Regnell, and Anders Wesslén. 2012. Experimentation in software engineering. Springer.
Félix Luiz Zanetti, Camila Zacche de Aguiar, and Vıtor E Silva Souza. 2019. Representacao ontologica de frameworks de mapeamento objeto/relacional. In Proc. of the 12th Seminar on Ontology Research in Brazil (ONTOBRAS 2019). CEUR, Porto Alegre, RS, Brasil.
Publicado
07/06/2021
Como Citar
AGUIAR, Camila Zacché de; ZANETTI, Félix; SOUZA, Vitor E. Silva.
Source Code Interoperability based on Ontology. In: SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 17. , 2021, Uberlândia.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
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