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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-26549
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dc.contributor.authorMosquera, David-
dc.contributor.authorRuiz, Marcela-
dc.contributor.authorPastor, Oscar-
dc.contributor.authorSpielberger, Jürgen-
dc.contributor.authorFievet, Lucas-
dc.date.accessioned2023-01-11T10:03:16Z-
dc.date.available2023-01-11T10:03:16Z-
dc.date.issued2022-06-
dc.identifier.isbn978-3-031-07480-6de_CH
dc.identifier.isbn978-3-031-07481-3de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/26549-
dc.description.abstractTraceability in software development has gained interest due to its software maintainability and quality assurance benefits. Artifacts such as code, requirements, mockups, test cases, among others, are feasible trace sources/targets during the software development process. Existing scientific approaches support tasks like identifying untraced artifacts, establishing new traces, and validating existing traces. However, most approaches require input existing traceability data or are restricted to a certain application domain hindering their practical application. This contemporary challenge in information systems engineering calls for novel traceability solutions. In this paper, we present OntoTrace: a tool for supporting traceability tasks in software development projects by using ontology-based automatic reasoning. OntoTrace allows software development teams for inferring traceability-related data such as i) which are the traceable source/target artifacts; ii) which artifacts are not yet traced; and iii) given a specific artifact, which are the possible traces between it and other artifacts. We demonstrate how OntoTrace works in the context of the Swiss startup LogicFlow AG, supporting the traceability between functional/non-functional requirements and user interface test cases. We conclude the paper by reflecting on the experience from applying the approach in practice, and we draw on future challenges and next research endeavors.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofseriesLecture Notes in Business Information Processingde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectSoftware traceabilityde_CH
dc.subjectSoftware traceability toolde_CH
dc.subjectOntologyde_CH
dc.subjectTrace generationde_CH
dc.subjectAutomatic reasoningde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.titleOntoTrace : a tool for supporting trace generation in software development by using ontology-based automatic reasoningde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
zhaw.publisher.placeChamde_CH
dc.identifier.doi10.1007/978-3-031-07481-3_9de_CH
dc.identifier.doi10.21256/zhaw-26549-
zhaw.conference.details34th International Conference on Advanced Information Systems Engineering (CAiSE '22), Leuven, Belgium, 6-10 June 2022de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end81de_CH
zhaw.pages.start73de_CH
zhaw.parentwork.editorDe Weerdt, Jochen-
zhaw.parentwork.editorPolyvyanyy, Artem-
zhaw.publication.statussubmittedVersionde_CH
zhaw.series.number452de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsIntelligent Information Systemsde_CH
zhaw.webfeedDIZH Fellowshipde_CH
zhaw.webfeedSoftware Engineeringde_CH
zhaw.webfeedSoftware Systemsde_CH
zhaw.funding.zhawMachine Learning for Software User Interface Testingde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Mosquera, D., Ruiz, M., Pastor, O., Spielberger, J., & Fievet, L. (2022). OntoTrace : a tool for supporting trace generation in software development by using ontology-based automatic reasoning [Conference paper]. In J. De Weerdt & A. Polyvyanyy (Eds.), Intelligent Information Systems (pp. 73–81). Springer. https://doi.org/10.1007/978-3-031-07481-3_9
Mosquera, D. et al. (2022) ‘OntoTrace : a tool for supporting trace generation in software development by using ontology-based automatic reasoning’, in J. De Weerdt and A. Polyvyanyy (eds) Intelligent Information Systems. Cham: Springer, pp. 73–81. Available at: https://doi.org/10.1007/978-3-031-07481-3_9.
D. Mosquera, M. Ruiz, O. Pastor, J. Spielberger, and L. Fievet, “OntoTrace : a tool for supporting trace generation in software development by using ontology-based automatic reasoning,” in Intelligent Information Systems, Jun. 2022, pp. 73–81. doi: 10.1007/978-3-031-07481-3_9.
MOSQUERA, David, Marcela RUIZ, Oscar PASTOR, Jürgen SPIELBERGER und Lucas FIEVET, 2022. OntoTrace : a tool for supporting trace generation in software development by using ontology-based automatic reasoning. In: Jochen DE WEERDT und Artem POLYVYANYY (Hrsg.), Intelligent Information Systems. Conference paper. Cham: Springer. Juni 2022. S. 73–81. ISBN 978-3-031-07480-6
Mosquera, David, Marcela Ruiz, Oscar Pastor, Jürgen Spielberger, and Lucas Fievet. 2022. “OntoTrace : A Tool for Supporting Trace Generation in Software Development by Using Ontology-Based Automatic Reasoning.” Conference paper. In Intelligent Information Systems, edited by Jochen De Weerdt and Artem Polyvyanyy, 73–81. Cham: Springer. https://doi.org/10.1007/978-3-031-07481-3_9.
Mosquera, David, et al. “OntoTrace : A Tool for Supporting Trace Generation in Software Development by Using Ontology-Based Automatic Reasoning.” Intelligent Information Systems, edited by Jochen De Weerdt and Artem Polyvyanyy, Springer, 2022, pp. 73–81, https://doi.org/10.1007/978-3-031-07481-3_9.


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