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Problem of Semantic Enrichment of Sentences Used in Textual Requirements Specification

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Advanced Information Systems Engineering Workshops (CAiSE 2021)

Abstract

In this paper, we describe our graph-oriented method used to find semantically similar sentences in external information sources that have a semantic enrichment potential in relation to sentences of textual functional requirements specification. Our motivation is to reduce the incompleteness of requirements that may be a source of inconsistency. We found there are some facts and rules so obvious for domain experts that they do not even mention them in requirements. We call such rules default consistency rules. These rules are often not implemented and can not be revealed from the requirements because they are not mentioned there.

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Notes

  1. 1.

    https://spacy.io.

References

  1. Antoniou, G., van Harmelen, F.: A Semantic Web Primer. MIT Press, Cambridge (2008)

    Google Scholar 

  2. Gouda, K., Hassaan, M.: A fast algorithm for subgraph search problem. In: Proceedings of 8th International Conference on Informatics and Systems (INFOS) 2012, Giza, Egypt, pp. 53–59. IEEE (2012)

    Google Scholar 

  3. Gupta, A., Kaur, M., Mirkin, S., Singh, A., Goyal, A.: Text summarization through entailment-based minimum vertex cover. In: Proceedings of the SEM 2014, Dublin, Ireland, pp. 75–80. Association for Computational Linguistics and Dublin City University (2014)

    Google Scholar 

  4. Kroha, P., Janetzko, R., Labra, J.E.: Ontologies in checking for inconsistency of requirements specification. In: 2009 Third International Conference on Advances in Semantic Processing, Sliema, Malta, pp. 32–37. IEEE Computer Society Press (2009). http://ieeexplore.ieee.org/document/5291538/

  5. Maass, W., Kowatsch, T.: Semantic Technologies in Content Management Systems. Springer, Berlin (2012). https://doi.org/10.1007/978-3-642-24960-0

  6. Meng, L., Huang, R., Gu, J.: Measuring semantic similarity of word pairs using path and information content. Int. J. Future Gener. Commun. Netw. 7(3), 183–194 (2014)

    Article  Google Scholar 

  7. Schluter, N.: The complexity of finding the maximum spanning DAG and other restrictions for DAG parsing of natural language. In: Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, Denver, Colorado, pp. 259–268 (2015)

    Google Scholar 

  8. Šenkýř, D., Kroha, P.: Patterns in textual requirements specification. In: Proceedings of the 13th International Conference on Software Technologies, Porto, Portugal, pp. 197–204. SciTePress – Science and Technology Publications (2018). https://doi.org/10.5220/0006827301970204

  9. Šenkýř, D., Kroha, P.: Patterns of ambiguity in textual requirements specification. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds.) WorldCIST’19 2019. AISC, vol. 930, pp. 886–895. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-16181-1_83

    Chapter  Google Scholar 

  10. Šenkýř, D., Kroha, P.: Problem of incompleteness in textual requirements specification. In: Proceedings of the 14th International Conference on Software Technologies, Porto, Portugal, vol. 1, pp. 323–330. INSTICC, SciTePress – Science and Technology Publications (2019)

    Google Scholar 

  11. Šenkýř, D., Kroha, P.: Patterns for checking incompleteness of scenarios in textual requirements specification. In: Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering, Porto, Portugal, vol. 1, pp. 289–296. INSTICC, SciTePress – Science and Technology Publications (2020)

    Google Scholar 

  12. Šenkýř, D., Kroha, P.: Problem of inconsistency and default consistency rules (2021, submitted)

    Google Scholar 

  13. Šenkýř, D., Kroha, P.: problem of inconsistency in textual requirements specifications (2021). Accepted and presented (ENASE 2021), to be published

    Google Scholar 

  14. Sravanathi, P., Srinivasu, B.: Semantic similarity between sentences. Int. Res. J. Eng. Technol. (IRJET) 4(1), 156–161 (2017)

    Google Scholar 

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Acknowledgements

This research was supported by the grant of Czech Technical University in Prague No. SGS20/209/OHK3/3T/18.

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Correspondence to David Šenkýř .

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Šenkýř, D., Kroha, P. (2021). Problem of Semantic Enrichment of Sentences Used in Textual Requirements Specification. In: Polyvyanyy, A., Rinderle-Ma, S. (eds) Advanced Information Systems Engineering Workshops. CAiSE 2021. Lecture Notes in Business Information Processing, vol 423. Springer, Cham. https://doi.org/10.1007/978-3-030-79022-6_7

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  • DOI: https://doi.org/10.1007/978-3-030-79022-6_7

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