On the effectiveness of abstraction identification in requirements engineering

Proceedings of the 2010 18th IEEE International Requirements Engineering Conference, RE2010

Volumn , Issue , 2010, Pages 5-14

  Gacitua, Ricardo ^a   Sawyer, Peter ^a   Gervasi, Vincenzo ^b  

^a LANCASTER UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF PISA   (Italy)

Author keywords

Abstractions; Evaluation of tool; Natural language text; Requirement elicitation; Tool use method

Indexed keywords

ABSTRACTIONS; EVALUATION OF TOOL; NATURAL LANGUAGE TEXT; REQUIREMENT ELICITATION; TOOL USE METHOD;

EQUIPMENT; PROFITABILITY; REQUIREMENTS ENGINEERING; SOFTWARE DESIGN;

ABSTRACTING;

EID: 78650321128     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RE.2010.12     Document Type: Conference Paper

References (39)

1. C. Aguilera and D. M. Berry, "The use of a repeated phrase finder in requirements extraction," J. Syst. Softw., vol. 13, no. 3, pp. 209-230, 1990.
2. L. Goldin and D. M. Berry, "Abstfinder, a prototype natural language text abstraction finder for use in requirements elicitation," Automated Software Engg., vol. 4, no. 4, pp. 375-412, 1997.
3. V. Gervasi, "Environment support for requirements writing and analysis," Ph.D. dissertation, University of Pisa, March 2000.
4. K. Liu, Semiotics in information systems engineering. New York, NY, USA: Cambridge University Press, 2000.
5. K. Kageura and B. Umino, "Methods of automatic term recognition: a review," Terminology, vol. 3, no. 2, pp. 259-289, 1996.
6. M.-F. Moens, "Automatic indexing and abstracting of document texts," Computational Linguistics, vol. 27, no. 1, pp. 149-149, 2001.
7. A. Maedche and S. Staab, "Discovering conceptual relations from text," in ECAI. Press, 2000, pp. 321-325.
8. L. Kof, Text Analysis for Requirements Engineering- Application of Computational Linguistics. Saarbrücken, Germany, Germany: VDM Verlag, 2007.
9. D. Bourigault, "Surface grammatical analysis for the extraction of terminological noun phrases," in Proceedings of the 14th conference on Computational linguistics. Morristown, NJ, USA: Association for Computational Linguistics, 1992, pp. 977-981.
10. P. Jacobs, "Using statistical methods to improve knowledgebased news categorization," IEEE Expert: Intelligent Systems and Their Applications, vol. 8, no. 2, pp. 13-23, 1993.
11. P. Sawyer, P. Rayson, and K. Cosh, "Shallow knowledge as an aid to deep understanding in early phase requirements engineering," Software Engineering, IEEE Transactions on, vol. 31, no. 11, pp. 969 - 981, Nov. 2005.
12. Y.-S. Hwang, A. Finch, and Y. Sasaki, "Improving statistical machine translation using shallow linguistic knowledge," Comput. Speech Lang., vol. 21, no. 2, pp. 350-372, 2007.
13. J. Wermter and U. Hahn, "You can't beat frequency (unless you use linguistic knowledge): a qualitative evaluation of association measures for collocation and term extraction," in ACL-44: Proc. 21st Int. Conf. on Computational Linguistics. Morristown, NJ, USA: Association for Computational Linguistics, 2006, pp. 785-792.
14. P. Rayson, L. Emmet, R. Garside, and P. Sawyer, "The REVERE project: Experiments with the application of probabilistic nlp to systems engineering," in NLDB '00: Proc. 5th Int. Conf. on Applications of Natural Language to Information Systems. London, UK: Springer-Verlag, 2001, pp. 288-300.
15. P. Rayson and R. Garside, "Comparing corpora using frequency profiling," in CompareCorpora '00: Proceedings of the Workshop on Comparing Corpora. Morristown, NJ, USA: Association for Computational Linguistics, 2000, pp. 1-6.
16. G. Berry-Rogghe, The Computation of Collocations and Their Relevance in Lexical Studies, R. B. A. Aitken and N. H.-S. (eds.), Eds. Edinburgh University Press, 1973.
17. Y. S. Maarek, D. M. Berry, and G. E. Kaiser, "An information retrieval approach for automatically constructing software libraries," IEEE Trans. Softw. Eng., vol. 17, no. 8, pp. 800-813, 1991.
18. J. Wermter and U. Hahn, "Finding new terminology in very large corpora," in K-CAP '05: Proceedings of the 3rd international conference on Knowledge capture. New York, NY, USA: ACM, 2005, pp. 137-144.
19. P.-M. Ryu, "Determining the specificity of terms using compositional and contextual information," in Proceedings of the ACL 2004 workshop on Student research. Morristown, NJ, USA: Association for Computational Linguistics, 2004, p. 1.
20. G. Leech, R. Paul, and A. Wilson, Word Frequencies in Written and Spoken English: based on the British National Corpus. Longman, 2001.
21. R. Gacitua, P. Sawyer, and P. Rayson, "A flexible framework to experiment with ontology learning techniques," Know.-Based Syst., vol. 21, no. 3, pp. 192-199, 2008.
22. A. M. G. Ramiro, R. Stearns, J. Kubiatowicz, R. Rivest, K. Thompson, and H. Simon, "Wordle: A methodology for the visualization of information retrieval systems," Journal of Scalable Epistemologies, no. 41, pp. 83-100, 1992.
23. E. Jones and C. Chung, RFID in Logistics - A Practical Introduction. USA: CRC Press, Taylor & Francis Group, 2008.
24. S. T. Dumais, G. W. Furnas, T. K. Landauer, S. Deerwester, and R. Harshman, "Using latent semantic analysis to improve access to textual information," in CHI '88: Proceedings of the SIGCHI conference on Human factors in computing systems. New York, NY, USA: ACM, 1988, pp. 281-285.
25. M. F. Porter, "An algorithm for suffix stripping," Readings in information retrieval, pp. 313-316, 1997.
26. J. Šnajder, B. D. Bašić, and M. Tadić, "Automatic acquisition of inflectional lexica for morphological normalisation," Inf. Process. Manage., vol. 44, no. 5, pp. 1720-1731, 2008.
27. R. Lecceuche, "Finding comparatively important concepts between texts," in ASE '00: Proceedings of the 15th IEEE international conference on Automated software engineering. Washington, DC, USA: IEEE Computer Society, 2000, p. 55.
28. W. N. Francis and H. Kucera, Frequency analysis of English usage: Lexicon and grammer. Boston: Houghton Mifflin, 1982.
29. M. P. Oakes, Statistics for Corpus Linguistics. Edinburgh, UK: Edinburgh University Press, 1998.
30. M. A. Hearst, "Automatic acquisition of hyponyms from large text corpora," in Proceedings of the 14th conference on Computational linguistics. Morristown, NJ, USA: Association for Computational Linguistics, 1992, pp. 539-545.
31. R. Gacitua and P. Sawyer, "Ensemble methods for ontology learning - an empirical experiment to evaluate combinations of concept acquisition techniques," in ICIS '08: Proc. Seventh IEEE/ACIS Int. Conf. on Computer and Information Science. Washington, DC, USA: IEEE Computer Society, 2008, pp. 328-333.
32. K. McKeown and D. Radev, "Collocations," in Handbook of Natural Language Processing, R. Dale, H. Moisl, and H. Somers, Eds. Marcel Dekker, 2000.
33. G. A. Miller, "WordNet: a lexical database for english," Commun. ACM, vol. 38, no. 11, pp. 39-41, 1995.
34. D. B. Lenat, "Cyc: a large-scale investment in knowledge infrastructure," Commun. ACM, vol. 38, no. 11, pp. 33-38, 1995.
35. L. Goldin and A. Finkelstein, "Abstraction-based requirements management," in ROA '06: Proceedings of the 2006 international workshop on Role of abstraction in software engineering. New York, NY, USA: ACM, 2006, pp. 3-10.
36. A. van Lamsweerde, Requirements Engineering: From System Goals to UML Models to Software Specifications. Wiley, 2009.
37. J. H. Hayes, A. Dekhtyar, and S. K. Sundaram, "Advancing candidate link generation for requirements tracing: The study of methods," IEEE Trans. Softw. Eng., vol. 32, no. 1, pp. 4-19, 2006.
38. J. Cleland-Huang, B. Berenbach, S. Clark, R. Settimi, and E. Romanova, "Best practices for automated traceability," Computer, vol. 40, no. 6, pp. 27-35, 2007.
39. J. Natt och Dag, V. Gervasi, S. Brinkkemper, and B. Regnell, "A linguistic-engineering approach to large-scale requirements management," IEEE Softw., vol. 22, no. 1, pp. 32-39, 2005.