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Exploring New Directions in Traceability Link Recovery in Models: The Process Models Case

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Exploring New Directions in Traceability Link Recovery in Models: The Process Models Case

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dc.contributor.author Lapeña, Raúl es_ES
dc.contributor.author Font, Jaime es_ES
dc.contributor.author Cetina Englada, Carlos es_ES
dc.contributor.author Pastor López, Oscar es_ES
dc.date.accessioned 2022-01-18T08:12:55Z
dc.date.available 2022-01-18T08:12:55Z
dc.date.issued 2018-06-15 es_ES
dc.identifier.isbn 978-3-319-91562-3 es_ES
dc.identifier.issn 0302-9743 es_ES
dc.identifier.uri http://hdl.handle.net/10251/179842
dc.description.abstract [EN] Traceability Links Recovery (TLR) has been a topic of interest for many years. However, TLR in Process Models has not received enough attention yet. Through this work, we study TLR between Natural Language Requirements and Process Models through three different approaches: a Models specific baseline, and two techniques based on Latent Semantic Indexing, used successfully over code. We adapted said code techniques to work for Process Models, and propose them as novel techniques for TLR in Models. The three approaches were evaluated by applying them to an academia set of Process Models, and to a set of Process Models from a real-world industrial case study. Results show that our techniques retrieve better results that the baseline Models technique in both case studies. We also studied why this is the case, and identified Process Models particularities that could potentially lead to improvement opportunities. es_ES
dc.description.sponsorship This work has been partially supported by the Ministry of Economy and Competitiveness (MINECO) through the Spanish National R+D+i Plan and ERDF funds under the project Model-Driven Variability Extraction for Software Product Line Adoption (TIN2015-64397-R). We also thank ITEA3 15010 REVaMP2 Project es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof Advanced Information Systems Engineering: 30th International Conference, CAiSE 2018 es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;10816 es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Traceability Link Recovery es_ES
dc.subject Requirements engineering es_ES
dc.subject Business Process Models es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Exploring New Directions in Traceability Link Recovery in Models: The Process Models Case es_ES
dc.type Comunicación en congreso es_ES
dc.type Artículo es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-319-91563-0_22 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2015-64397-R/ES/EXTRACCION DE VARIABILIDAD DIRIGIDA POR MODELOS PARA LA ADOPCION DE LINEAS DE PRODUCTO SOFTWARE/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Lapeña, R.; Font, J.; Cetina Englada, C.; Pastor López, O. (2018). Exploring New Directions in Traceability Link Recovery in Models: The Process Models Case. Springer. 359-373. https://doi.org/10.1007/978-3-319-91563-0_22 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 30th International Conference on Advanced Information Systems Engineering (CAiSE 2018) es_ES
dc.relation.conferencedate Junio 11-15,2018 es_ES
dc.relation.conferenceplace Tallinn, Estonia es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-319-91563-0_22 es_ES
dc.description.upvformatpinicio 359 es_ES
dc.description.upvformatpfin 373 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\388691 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.description.references Gotel, O.C., Finkelstein, C.: An analysis of the requirements traceability problem. In: Proceedings of the First International Conference on Requirements Engineering, pp. 94–101. IEEE (1994) es_ES
dc.description.references Spanoudakis, G., Zisman, A.: Software traceability: a roadmap. Handb. Softw. Eng. Knowl. Eng. 3, 395–428 (2005) es_ES
dc.description.references Watkins, R., Neal, M.: Why and how of requirements tracing. IEEE Softw. 11(4), 104–106 (1994) es_ES
dc.description.references Ghazarian, A.: A research agenda for software reliability. In: IEEE Reliability Society 2009 Annual Technology Report (2010) es_ES
dc.description.references Rempel, P., Mäder, P.: Preventing defects: the impact of requirements traceability completeness on software quality. IEEE Trans. Softw. Eng. 43(8), 777–797 (2017) es_ES
dc.description.references Parizi, R.M., Lee, S.P., Dabbagh, M.: Achievements and challenges in state-of-the-art software traceability between test and code artifacts. IEEE Trans. Reliab. 63(4), 913–926 (2014) es_ES
dc.description.references Rubin, J., Chechik, M.: A survey of feature location techniques. In: Domain Engineering, pp. 29–58. Springer, Heidelberg (2013) es_ES
dc.description.references Spanoudakis, G., Zisman, A., Pérez-Minana, E., Krause, P.: Rule-based generation of requirements traceability relations. J. Syst. Softw. 72(2), 105–127 (2004) es_ES
dc.description.references Landauer, T.K., Foltz, P.W., Laham, D.: An introduction to latent semantic analysis. Discourse Processes 25(2–3), 259–284 (1998) es_ES
dc.description.references Hulth, A.: Improved automatic keyword extraction given more linguistic knowledge. In: Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, pp. 216–223 (2003) es_ES
dc.description.references Plisson, J., Lavrac, N., Mladenic, D., et al.: A rule based approach to word lemmatization. In: Proceedings of the 7th International Multi-conference Information Society, vol. 1, pp. 83–86. Citeseer (2004) es_ES
dc.description.references Marcus, A., Sergeyev, A., Rajlich, V., Maletic, J.: An information retrieval approach to concept location in source code. In: Proceedings of the 11th Working Conference on Reverse Engineering, pp. 214–223, November 2004 es_ES
dc.description.references Salman, H.E., Seriai, A., Dony, C.: Feature location in a collection of product variants: combining information retrieval and hierarchical clustering. In: The 26th International Conference on Software Engineering and Knowledge Engineering, pp. 426–430 (2014) es_ES
dc.description.references Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill Inc., New York (1986) es_ES
dc.description.references Leech, G., Garside, R., Bryant, M.: CLAWS4: the tagging of the British National Corpus. In: Proceedings of the 15th Conference on Computational Linguistics, vol. 1, pp. 622–628. Association for Computational Linguistics (1994) es_ES
dc.description.references Camunda: Camunda BPMN Model API (2017). https://github.com/camunda/camunda-bpmn-model . Accessed 3 Nov 2017 es_ES
dc.description.references Apache: OpenNLP Toolkit for the Processing of Natural Language Text (2017). https://opennlp.apache.org/ . Accessed 12 Nov 2017 es_ES
dc.description.references Abeles, P.: Efficient Java Matrix Library (2017). http://ejml.org/ . Accessed 9 Nov 2017 es_ES
dc.description.references Wohlin, C., Runeson, P., Höst, M., Ohlsson, M.C., Regnell, B., Wesslén, A.: Experimentation in Software Engineering. Springer, Heidelberg (2012) es_ES
dc.description.references Sultanov, H., Hayes, J.H.: Application of swarm techniques to requirements engineering: requirements tracing. In: 18th IEEE International Requirements Engineering Conference (2010) es_ES
dc.description.references Sundaram, S.K., Hayes, J.H., Dekhtyar, A., Holbrook, E.A.: Assessing traceability of software engineering artifacts. Requirements Eng. 15(3), 313–335 (2010) es_ES
dc.description.references Duan, C., Cleland-Huang, J.: Clustering support for automated tracing. In: Proceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering (2007) es_ES
dc.description.references Falessi, D., Cantone, G., Canfora, G.: Empirical principles and an industrial case study in retrieving equivalent requirements via natural language processing techniques. Trans. Softw. Eng. 39(1), 18–44 (2013) es_ES
dc.description.references Arora, C., Sabetzadeh, M., Goknil, A., Briand, L.C., Zimmer, F.: Change impact analysis for natural language requirements: an NLP approach. In: IEEE 23rd International Requirements Engineering Conference (2015) es_ES
dc.description.references Ryan, K.: The role of natural language in requirements engineering. In: Proceedings of IEEE International Symposium on Requirements Engineering (1993) es_ES
dc.description.references De Lucia, A., Fasano, F., Oliveto, R., Tortora, G.: Enhancing an Artefact management system with traceability recovery features. In: Proceedings of the 20th IEEE International Conference on Software Maintenance, pp. 306–315. IEEE (2004) es_ES
dc.description.references Eder, S., Femmer, H., Hauptmann, B., Junker, M.: Configuring latent semantic indexing for requirements tracing. In: Proceedings of the 2nd International Workshop on Requirements Engineering and Testing (2015) es_ES


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