Fetching the paper…
Reading the bibliography…
Complementing natural language (NL) requirements with graphical models can improve stakeholders' communication and provide directions for system design.
J. Cohen, “A coefficient of agreement for nominal scales,” Educational and Psychological Measurement , vol. 20, no. 1, 1960
1960
Earlier work this paper cites.
D. Zowghi and V. Gervasi, “On the interplay between consistency, completeness, and correctness in requirements evolution,” IST , vol. 45, no. 14, pp. 993–1009, 2003
2003
Earlier work this paper cites.
V. Ambriola and V. Gervasi, “On the systematic analysis of natural language requirements with CIRCE,” ASE , vol. 13, pp. 107–167, 2006
2006
Earlier work this paper cites.
L. Kof, “Scenarios: Identifying missing objects and actions by means of computational linguistics,” in RE’07 . IEEE, 2007, pp. 121–130
2007
Earlier work this paper cites.
G. Guest, K. M. MacQueen, and E. E. Namey, Applied thematic analysis . sage publications, 2011
2011
Earlier work this paper cites.
S. Abrahão, E. Insfran, J. A. Carsí, and M. Genero, “Evaluating requirements modeling methods based on user perceptions: A family of experiments,” Inf. Sci. , vol. 181, no. 16, pp. 3356–3378, 2011
2011
Earlier work this paper cites.
D. Kundu, D. Samanta, and R. Mall, “Automatic code generation from unified modelling language sequence diagrams,” IET Software , vol. 7, no. 1, pp. 12–28, 2013
2013
Earlier work this paper cites.
J. Cohen, Statistical power analysis for the behavioral sciences . Academic press, 2013
2013
Earlier work this paper cites.
T. Yue, L. C. Briand, and Y. Labiche, “aToucan: an automated framework to derive UML analysis models from use case models,” ACM TOSEM , vol. 24, no. 3, pp. 1–52, 2015
2015
Earlier work this paper cites.
“Unified modeling language (UML) 2.5.1 core specification,” https://www.omg.org/spec/{UML} , 2017
2017
Earlier work this paper cites.
A. Ferrari, G. O. Spagnolo, and S. Gnesi, “Pure: A dataset of public requirements documents,” in RE’17 . IEEE, 2017, pp. 502–505
2017
Earlier work this paper cites.
V. Clarke and V. Braun, “Thematic analysis,” The journal of positive psychology , vol. 12, no. 3, pp. 297–298, 2017
2017
Earlier work this paper cites.
“ISO/IEC/IEEE international standard - systems and software engineering – life cycle processes – requirements engineering,” ISO/IEC/IEEE 29148:2018(E) , pp. 1–104, 2018
2018
Earlier work this paper cites.
S. Wagner, D. M. Fernández, M. Felderer, A. Vetrò, M. Kalinowski, R. Wieringa, D. Pfahl, T. Conte, M.-T. Christiansson, D. Greer et al. , “Status quo in requirements engineering: A theory and a global family of surveys,” ACM TOSEM , vol. 28, no. 2, pp. 1–48, 2019
2019
Cited alongside, same era.
C. Arora, M. Sabetzadeh, S. Nejati, and L. Briand, “An active learning approach for improving the accuracy of automated domain model extraction,” ACM TOSEM , vol. 28, no. 1, pp. 1–34, 2019
2019
Cited alongside, same era.
J. Horkoff, F. B. Aydemir, E. Cardoso, T. Li, A. Maté, E. Paja, M. Salnitri, L. Piras, J. Mylopoulos, and P. Giorgini, “Goal-oriented requirements engineering: an extended systematic mapping study,” REJ , vol. 24, pp. 133–160, 2019
2019
Cited alongside, same era.
R. Jolak, M. Savary-Leblanc, M. Dalibor, A. Wortmann, R. Hebig, J. Vincur, I. Polasek, X. Le Pallec, S. Gérard, and M. R. Chaudron, “Software engineering whispers: The effect of textual vs. graphical software design descriptions on software design communication,” Empirical software engineering , vol. 25, pp. 4427–4471, 2020
J. Cámara, J. Troya, L. Burgueño, and A. Vallecillo, “On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML,” SoSym , pp. 1–13, 2023
2023
Later among the works it cites.
K. Chen, Y. Yang, B. Chen, J. A. H. López, G. Mussbacher, and D. Varró, “Automated domain modeling with large language models: A comparative study,” in MODELS’23 . IEEE, 2023, pp. 162–172
2023
Later among the works it cites.
B. Min, H. Ross, E. Sulem, A. P. B. Veyseh, T. H. Nguyen, O. Sainz, E. Agirre, I. Heintz, and D. Roth, “Recent advances in natural language processing via large pre-trained language models: A survey,” ACM Computing Surveys , vol. 56, no. 2, pp. 1–40, 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2020
Cited alongside, same era.
K.-J. Stol and B. Fitzgerald, “Guidelines for conducting software engineering research,” in Contemporary Empirical Methods in Software Engineering . Springer, 2020, pp. 27–62
2020
Cited alongside, same era.
F. Dalpiaz and A. Sturm, “Conceptualizing requirements using user stories and use cases: a controlled experiment,” in REFSQ’20 . Springer, 2020, pp. 221–238
2020
Cited alongside, same era.
M. Jahan, Z. S. H. Abad, and B. Far, “Generating sequence diagram from natural language requirements,” in REW’21 . IEEE, 2021, pp. 39–48
2021
Cited alongside, same era.
L. Zhao, W. Alhoshan, A. Ferrari, K. J. Letsholo, M. A. Ajagbe, E.-V. Chioasca, and R. T. Batista-Navarro, “Natural language processing for requirements engineering: A systematic mapping study,” ACM Computing Surveys , vol. 54, no. 3, pp. 1–41, 2021
2021
Cited alongside, same era.
V. Braun and V. Clarke, “To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales,” Qualitative research in sport, exercise and health , vol. 13, no. 2, pp. 201–216, 2021
2021
Cited alongside, same era.
R. Saini, G. Mussbacher, J. L. Guo, and J. Kienzle, “Automated, interactive, and traceable domain modelling empowered by artificial intelligence,” SoSym , pp. 1–31, 2022
2022
Cited alongside, same era.
S. Ahmed, A. Ahmed, and N. U. Eisty, “Automatic transformation of natural to unified modeling language: A systematic review,” in SERA’22 . IEEE, 2022, pp. 112–119
2022
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Later among the works it cites.
C. Jain, P. R. Anish, A. Singh, and S. Ghaisas, “A transformer-based approach for abstractive summarization of requirements from obligations in software engineering contracts,” in RE’23 . IEEE, 2023, pp. 169–179
2023
Later among the works it cites.
A. D. Rodriguez, K. R. Dearstyne, and J. Cleland-Huang, “Prompts matter: Insights and strategies for prompt engineering in automated software traceability,” in REW’23 . IEEE, 2023, pp. 455–464
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
K. Ronanki, C. Berger, and J. Horkoff, “Investigating ChatGPT’s potential to assist in requirements elicitation processes,” in SEAA’23 . IEEE, 2023, pp. 354–361
2023
Later among the works it cites.
2023
Later among the works it cites.
F. Alessio, A. Sallam, and A. Chetan, “Model Generation from Requirements with LLMs: an Exploratory Study - Replication Package,” Apr. 2024. [Online]. Available: https://doi.org/10.5281/zenodo.10579731
2024
Closest in time.