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International Conference on Enterprise Information Systems

ICEIS 2015: Enterprise Information Systems pp 385–407Cite as

CrossCutting Concerns Identification Supported by Ontologies: A Preliminary Study

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 241))

Abstract

Contextualization: CrossCutting Concerns (CCC) or Early-Aspects consist of software concerns that are spread and/or tangled with requirements of other concerns and can be treated by Aspect-Oriented Requirements Engineering (AORE). Problem: several AORE approaches have been proposed, however, some experimental studies have found problems regarding to the accuracy of these approaches. According to the authors of these studies these problems occur, due to: (i) the lack of knowledge presented by the users of these approaches about the crosscutting nature of CCC; and (ii) the lack of resources to support users of these approaches during the CCC identification. Goal: this work aims to improve the CCC identification accuracy from the support of domain ontologies. Hence, an ontology for the CCC domain was proposed and the Theme/Doc AORE approach was extended aiming to make it suitable for the usage of this ontology. As results, a preliminary experimental study showed a significant increasing of the recall of the extended approach, without negative effects on the precision and execution time of it.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Federal University of São Carlos, Sao Carlos, Brazil

    Paulo Afonso Parreira Jr. & Rosângela Dellosso Penteado

  2. Computer Science Course, Federal University of Goiás, Jatai, Goias, Brazil

    Paulo Afonso Parreira Jr.

Authors
  1. Paulo Afonso Parreira Jr.
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  2. Rosângela Dellosso Penteado
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Corresponding author

Correspondence to Paulo Afonso Parreira Jr. .

Editor information

Editors and Affiliations

  1. MODESTE/ESEO, Angers, France

    Slimane Hammoudi

  2. Macquarie University, Sydney, Wroclaw University of Economics, Poland, Wroclaw, Poland

    Leszek Maciaszek

  3. Despatx Omega-132, Polytechnic University of Catalonia, Barcelona, Spain

    Ernest Teniente

  4. MODESTE/ESEO, Angers, France

    Olivier Camp

  5. INSTICC, Instituto Politécnico de Setúbal, Setúbal, Portugal

    José Cordeiro

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Parreira, P.A., Penteado, R.D. (2015). CrossCutting Concerns Identification Supported by Ontologies: A Preliminary Study. In: Hammoudi, S., Maciaszek, L., Teniente, E., Camp, O., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2015. Lecture Notes in Business Information Processing, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-29133-8_19

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  • DOI: https://doi.org/10.1007/978-3-319-29133-8_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29132-1

  • Online ISBN: 978-3-319-29133-8

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