Effective use of ontologies in software measurement

Félix García; Francisco Ruiz; Coral Calero; Manuel F. Bertoa; Antonio Vallecillo; Beatriz Mora; Mario Piattini; Félix García; Francisco Ruiz; Coral Calero; Manuel F. Bertoa; Antonio Vallecillo; Beatriz Mora; Mario Piattini

doi:10.1017/S0269888909000125

Abstract: Ontologies are frequently used in the context of software and technology engineering. These can be grouped into two main categories, depending on whether they are used to describe the knowledge of a domain (domain ontologies) or whether they are used as software artifacts in software development processes. This paper presents some experiences and lessons learnt from the effective use of an ontology for Software Measurement, called software measurement ontology (SMO). The SMO was developed some years ago as a result of a thorough analysis of the software measurement domain. Its use as a domain ontology is presented first, a description of how the SMO can serve as a conceptual basis for comparing international standards related to software measurement. Second, the paper describes several examples of the applications of SMO as a software artifact. In particular, we show how the SMO can be instantiated to define a data quality model for Web portals, and also how it can be used to define a Domain-Specific Language (DSL) for measuring software entities. These examples show the significant role that ontologies can play as software artifacts in the realm of model-driven engineering and domain-specific modeling.

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Effective use of ontologies in software measurement

Alarcos Research Group—Institute of Information Technologies & Systems

Departamento de Lenguajes y Ciencias de la Computación

Published online: 01 March 2009

Abstract: Abstract: Ontologies are frequently used in the context of software and technology engineering. These can be grouped into two main categories, depending on whether they are used to describe the knowledge of a domain (domain ontologies) or whether they are used as software artifacts in software development processes. This paper presents some experiences and lessons learnt from the effective use of an ontology for Software Measurement, called software measurement ontology (SMO). The SMO was developed some years ago as a result of a thorough analysis of the software measurement domain. Its use as a domain ontology is presented first, a description of how the SMO can serve as a conceptual basis for comparing international standards related to software measurement. Second, the paper describes several examples of the applications of SMO as a software artifact. In particular, we show how the SMO can be instantiated to define a data quality model for Web portals, and also how it can be used to define a Domain-Specific Language (DSL) for measuring software entities. These examples show the significant role that ontologies can play as software artifacts in the realm of model-driven engineering and domain-specific modeling.

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Acknowledgments

We thank Prof. Alain Abran for his useful suggestions and comments, which have helped us to improve the first versions of the ontology. We are also grateful to the anonymous reviewers of this work, for their valuable and detailed comments. This work has been funded by the following research projects: ESFINGE (TIN2006-15175-C05-05), MECENAS (PBI06-0024), MOVIS (P07-TIC-03184), IVISCUS (PAC08-0024-5991), VIASCO (PET2006-0682-00), CALIPSO (TIN2005-24055-E) and TIN2005-09405-C02-01.

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Félix García, Francisco Ruiz, Coral Calero, Manuel F. Bertoa, Antonio Vallecillo, Beatriz Mora, Mario Piattini. 2009. Effective use of ontologies in software measurement. The Knowledge Engineering Review. 24:125 doi: 10.1017/S0269888909000125

Félix García, Francisco Ruiz, Coral Calero, Manuel F. Bertoa, Antonio Vallecillo, Beatriz Mora, Mario Piattini. 2009. Effective use of ontologies in software measurement. The Knowledge Engineering Review. 24:125 doi: 10.1017/S0269888909000125

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Effective use of ontologies in software measurement

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