{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:27:24Z","timestamp":1781108844963,"version":"3.54.1"},"reference-count":72,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T00:00:00Z","timestamp":1762300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T00:00:00Z","timestamp":1762300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Process Sci"],"DOI":"10.1007\/s44311-025-00029-1","type":"journal-article","created":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T06:50:33Z","timestamp":1762325433000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Enhancing declarative business process management availability through generative AI"],"prefix":"10.1007","volume":"2","author":[{"given":"Wesley da Silva","family":"Santos","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juliana Rezende","family":"Coutinho","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fernanda","family":"Bai\u00e3o","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georges","family":"Miranda Spyrides","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H\u00e9lio C\u00f4rtes","family":"Vieira Lopes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,11,5]]},"reference":[{"key":"29_CR1","doi-asserted-by":"crossref","unstructured":"Aa H, Di Ciccio C, Leopold H, Reijers HA (2019) Extracting declarative process models from natural language. In Advanced Information Systems Engineer1524ing: 31st International Conference, CAiSE 2019, Rome, Italy, June 3\u20137, 2019,1525 Proceedings 31, pp. 365\u2013382 (2019). Springer","DOI":"10.1007\/978-3-030-21290-2_23"},{"key":"29_CR2","doi-asserted-by":"publisher","first-page":"120924","DOI":"10.1016\/j.eswa.2023.120924","volume":"233","author":"A Abbad-Andaloussi","year":"2023","unstructured":"Abbad-Andaloussi A, Burattin A, Slaats T, Kindler E, Weber B (2023) Complexity in declarative process models: metrics and multi-modal assessment of cognitive load. Expert Syst Appl 233:120924","journal-title":"Expert Systems With Applications"},{"key":"29_CR3","doi-asserted-by":"crossref","unstructured":"Alman A, Donadello I, Maggi FM, Montali M (2023) Declarative process mining for software processes: the rum toolkit and the declare4py python library. In International Conference on Product-Focused Software Process Improvement, Springer, pp. 13\u201319","DOI":"10.1007\/978-3-031-49269-3_2"},{"key":"29_CR4","doi-asserted-by":"crossref","unstructured":"Ayad S, AlSayoud F (2024) Exploring chatgpt prompt engineering for business process models semantic quality improvement. In World Conference on Information Systems and Technologies, Springer, pp. 412\u2013422","DOI":"10.1007\/978-3-031-60221-4_39"},{"issue":"4","key":"29_CR5","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1057\/palgrave.ejis.3000546","volume":"14","author":"W Bandara","year":"2005","unstructured":"Bandara W, Gable GG, Rosemann M (2005) Factors and measures of business process modelling: model building through a multiple case study. Eur J Inf Syst 14(4):347\u2013360","journal-title":"Eur J Inf Syst"},{"issue":"3","key":"29_CR6","first-page":"47","volume":"10","author":"W Bandara","year":"2005","unstructured":"Bandara W, Rosemann M (2005) What are the secrets of successful process modelling? insights from an Australian case study. Syst\u00e8mes d\u2019Information et Management 10(3):47\u201368","journal-title":"Syst\u00e8mes d\u2019Information et Management"},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Bergami G (2023) Fast synthetic data-aware log generation for temporal declarative models. In Proceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), pp 1\u20139","DOI":"10.1145\/3594778.3594881"},{"key":"29_CR8","unstructured":"Berti A (2024) Pm4py. llm: a comprehensive module for implementing pm on llms. arXiv preprint arXiv:2404.06035"},{"key":"29_CR9","doi-asserted-by":"crossref","unstructured":"Berti A, Kourani H, Aalst WM (2024) Pm-llm-benchmark: evaluating large language models on process mining tasks. arXiv preprint arXiv:2407.13244","DOI":"10.1007\/978-3-031-82225-4_45"},{"key":"29_CR10","unstructured":"Biderman S, Schoelkopf H, Sutawika L, Gao L, Tow J, Abbasi B, Aji AF, Ammanamanchi PS, Black S, Clive J et al (2024) Lessons from the trenches on reproducible evaluation of language models. arXiv preprint arXiv:2405.14782"},{"key":"29_CR11","unstructured":"Bommasani R, Hudson DA, Adeli E, Altman R, Arora S, Arx S, Bernstein MS, Bohg J, Bosselut A, Brunskill E, Brynjolfsson E, Buch S, Card D, Castellon R, Chatterji N, Chen A, Creel K, Davis JQ, Demszky D, Donahue C, Doumbouya M, Durmus E, Ermon S, Etchemendy J, Ethayarajh K, Fei-Fei L, Finn C, Gale T, Gillespie L, Goel K, Goodman N, Grossman S, Guha N, Hashimoto T, Henderson P, Hewitt J, Ho DE, Hong J, Hsu KHuang J et al, Papadimitriou, Park I, Piech JS, Portelance C, Potts E, Raghunathan C, Reich A, Ren R, Rong H, Roohani F, Ruiz Y, Ryan C, R\u00e9 J, Sadigh C, Sagawa D, Santhanam S, Shih K, Srinivasan A, Tamkin K, Taori A, Thomas R, Tram\u00e9r AW, Wang F, Wang RE, Wu W, Wu B, Wu J, Xie Y, Yasunaga SM, You M, Zaharia J, Zhang M, Zhang M, Zhang T, Zhang X, Zheng Y, Zhou L, Liang K (2022) On the opportunities and risks of foundation models. https:\/\/arxiv.org\/abs\/2108.07258"},{"key":"29_CR12","volume-title":"H.J.: readings in knowledge representation","author":"RJ Brachman","year":"1985","unstructured":"Brachman RJ, Levesque (1985) H.J.: readings in knowledge representation. Morgan Kaufmann, Los Altos, CA"},{"key":"29_CR13","unstructured":"Brown T, Mann B, Ryder N, Subbiah M, Kaplan JD, Dhariwal P, Neelakantan A, Shyam P, Sastry GAskell A et al (2020) Language models are few-shot learners. Adv Neural Inf Process Syst 1877\u20131901"},{"key":"29_CR14","doi-asserted-by":"publisher","unstructured":"Burattin A (2015) Artificial datasets for multi-perspective declare analysis. Zenodo. https:\/\/doi.org\/10.5281\/zenodo.20030","DOI":"10.5281\/zenodo.20030"},{"key":"29_CR15","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1016\/j.eswa.2016.08.040","volume":"65","author":"A Burattin","year":"2016","unstructured":"Burattin A, Maggi FM, Sperduti A (2016) Conformance checking based on multi perspective declarative process models. Expert Syst Appl 65:194\u2013211","journal-title":"Expert Systems With Applications"},{"key":"29_CR16","doi-asserted-by":"crossref","unstructured":"Busch K, Rochlitzer A, Sola D, Leopold (2023) H.: just tell me: prompt engineering in business process management. In International Conference on Business Process Modeling, Development and Support, Springer, pp. 3\u201311","DOI":"10.1007\/978-3-031-34241-7_1"},{"key":"29_CR17","doi-asserted-by":"publisher","first-page":"577","DOI":"10.7717\/peerj-cs.577","volume":"7","author":"M Camargo","year":"2021","unstructured":"Camargo M, Dumas M, Gonza\u00e1lez-Rojas O (2021) Discovering generative models from event logs: data-driven simulation vs deep learning. peerj Computer Science 7:577","journal-title":"peerj Computer Science"},{"key":"29_CR18","doi-asserted-by":"crossref","unstructured":"Chen Y, Xu B, Wang Q, Liu Y, Mao Z (2024) Benchmarking large language models on controllable generation under diversified instructions. In Proceedings of the AAAI Conference on Artificial Intelligence, vol 38. pp 17808\u201317816","DOI":"10.1609\/aaai.v38i16.29734"},{"key":"29_CR19","first-page":"149","volume":"2420","author":"F Corradini","year":"2019","unstructured":"Corradini F, Fornari F, Polini A, Re BTiezzi F et al (2019) Reprository: a repository platform for sharing business process models. BPM (phd\/Demos) 2420:149\u2013153","journal-title":"BPM (phd\/Demos)"},{"key":"29_CR20","unstructured":"Davies I, Rosemann M, Green P (2004) Exploring proposed ontological issues of aris with different categories of modellers. In ACIS 2004 Proceedings, vol 50"},{"key":"29_CR21","doi-asserted-by":"crossref","unstructured":"De Nicola A, Di Mascio T, Lezoche M, Taglino F (2008) Semantic lifting of business process models. In 2008 12th Enterprise Distributed Object Computing Conference Workshops, IEEE, pp. 120\u2013126","DOI":"10.1109\/EDOCW.2008.55"},{"key":"29_CR22","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/s00450-009-0057-9","volume":"23","author":"WM Der Aalst","year":"2009","unstructured":"Der Aalst WM, Pesic M, Schonenberg H (2009) Declarative workflows: balancing between flexibility and support. Comput Sci Res Dev 23:99\u2013113","journal-title":"Computer Science-Research And Development"},{"key":"29_CR23","doi-asserted-by":"crossref","unstructured":"Di Ciccio C, Bernardi ML, Cimitile M, Maggi FM (2015) Generating event logs through the simulation of declare models. In: Enterprise and organizational modeling and simulation: 11th International Workshop, EOMAS 2015, held at CAiSE 2015, vol 11. Stockholm, Sweden, pp 20\u201336. June 8\u20139, 2015, Selected Papers Springer","DOI":"10.1007\/978-3-319-24626-0_2"},{"key":"29_CR24","doi-asserted-by":"crossref","unstructured":"Di Ciccio C, Montali M et al (2022) Declarative process specifications: reasoning, discovery, monitoring. Process mining handbook 448:108\u2013152","DOI":"10.1007\/978-3-031-08848-3_4"},{"key":"29_CR25","unstructured":"Donadello I, Maggi FM, Riva F, Singh M (2023) Asp-based log generation with purposes in declare4py. ICPM Doctoral consortium\/Demo"},{"key":"29_CR26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-56509-4","volume-title":"Fundamentals of business process management","author":"M Dumas","year":"2018","unstructured":"Dumas M, Rosa LM, Mendling J, Reijers AH (2018) Fundamentals of business process management. Springer"},{"key":"29_CR27","doi-asserted-by":"publisher","first-page":"113880","DOI":"10.1016\/j.dss.2022.113880","volume":"165","author":"C Dun","year":"2023","unstructured":"Dun C, Moder L, Kratsch W, R\u00f6glinger M (2023) Processgan: supporting the creation of business process improvement ideas through generative machine learning. Decis Support Syst 165:113880","journal-title":"Decis Support Syst"},{"issue":"1","key":"29_CR28","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/s12599-023-00834-7","volume":"66","author":"S Feuerriegel","year":"2024","unstructured":"Feuerriegel S, Hartmann J, Janiesch C, Zschech P (2024) Generative ai. Business Information Systems Engineering 66(1):111\u2013126","journal-title":"Business Information Systems Engineering"},{"key":"29_CR29","doi-asserted-by":"publisher","unstructured":"Fu P, Zhang Y, Wang H, Qiu W, Zhao J (2023) Revisiting the knowledge injection frameworks. In: Bouamor H, Pino J, Bali K (eds) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Singapore, 10983\u201310997). https:\/\/doi.org\/10.18653\/v1\/2023.emnlp-main.677","DOI":"10.18653\/v1\/2023.emnlp-main.677"},{"key":"29_CR30","doi-asserted-by":"crossref","unstructured":"Geng S, D\u00f6ner B, Wendler C, Josifoski M, West R (2024) Sketch-guided constrained decoding for boosting blackbox large language models without logit access. arXiv preprint arXiv:2401.09967","DOI":"10.18653\/v1\/2024.acl-short.23"},{"key":"29_CR31","unstructured":"Geng S, Josifosky M, Peyrard M, West R (2023) Flexible grammar-based constrained decoding for language models. arXiv preprint arXiv:2305.13971"},{"key":"29_CR32","unstructured":"Green PF, Rosemann M (2002) Perceived ontological weaknesses of process modeling techniques: further evidence. In ECIS 2002 Proceedings, vol 104"},{"key":"29_CR33","doi-asserted-by":"crossref","unstructured":"Humm BG, Fengel J (2012) Assessing semantic consistency of business process models. language 3(4)","DOI":"10.1007\/978-3-642-30359-3_4"},{"issue":"3","key":"29_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3186266","volume":"51","author":"P Ivie","year":"2018","unstructured":"Ivie P, Thain D (2018) Reproducibility in scientific computing. ACM Comput Surv (CSUR) 51(3):1\u201336","journal-title":"ACM Comput Surv (CSUR)"},{"key":"29_CR35","unstructured":"Kothari CR (2004) Research methodology. new age international"},{"key":"29_CR36","doi-asserted-by":"crossref","unstructured":"Kourani H, Berti A, Henrich J, Kratsch W, Weidlich R, Li C-Y, Arslan A, Schuster D, Aalst WM (2024) Leveraging large language models for enhanced process model comprehension. arXiv preprint arXiv:2408.08892","DOI":"10.2139\/ssrn.5017379"},{"key":"29_CR37","doi-asserted-by":"crossref","unstructured":"Kourani H, Berti A, Schuster D, Aalst WM (2024) Process modeling with large language models. In International Conference on Business Process Modeling, Development and Support, Springer, pp. 229\u2013244","DOI":"10.1007\/978-3-031-61007-3_18"},{"key":"29_CR38","doi-asserted-by":"crossref","unstructured":"Krogstie J (2016) Sequal specialized for business process models. Quality in business process modeling 103\u2013138","DOI":"10.1007\/978-3-319-42512-2_3"},{"key":"29_CR39","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1016\/j.dss.2013.06.014","volume":"56","author":"H Leopold","year":"2013","unstructured":"Leopold H, Eid-Sabbagh R-H, Mendling J, Azevedo LG, Baiao FA (2013) Detection of naming convention violations in process models for different languages. Decis Support Syst 56:310\u2013325","journal-title":"Decis Support Syst"},{"key":"29_CR40","unstructured":"Li K, Yang S, Sullivan TM, Burd RS, Marsic I (2022) Generating privacy-preserving process data with deep generative models. arXiv preprint arXiv:2203.07949"},{"issue":"2","key":"29_CR41","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1109\/52.268955","volume":"11","author":"OI Lindland","year":"1994","unstructured":"Lindland OI, Sindre G, Solvberg A (1994) Understanding quality in conceptual modeling. IEEE Softw 11(2):42\u201349","journal-title":"IEEE Softw"},{"key":"29_CR42","doi-asserted-by":"publisher","first-page":"813","DOI":"10.1007\/s10115-019-01372-z","volume":"62","author":"D Loreti","year":"2020","unstructured":"Loreti D, Chesani F, Ciampolini A, Mello P (2020) Generating synthetic positive and negative business process traces through abduction. Knowl Inf Syst 62:813\u2013839","journal-title":"Knowl Inf Syst"},{"key":"29_CR43","volume-title":"Vision: a computational investigation into the human representation and processing of visual information","author":"D Marr","year":"1982","unstructured":"Marr D (1982) Vision: a computational investigation into the human representation and processing of visual information. W.H. Freeman and Company, San Francisco"},{"key":"29_CR44","doi-asserted-by":"crossref","unstructured":"Martino A, Iannelli M, Truong C (2023) Knowledge injection to counter large language model (llm) hallucination. In European Semantic Web Conference, Springer, pp. 182\u2013185","DOI":"10.1007\/978-3-031-43458-7_34"},{"issue":"2","key":"29_CR45","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.infsof.2009.08.004","volume":"52","author":"J Mendling","year":"2010","unstructured":"Mendling J, Reijers HA, Aalst WM (2010) Seven process modeling guidelines (7pmg). Inf Softw Technol 52(2):127\u2013136","journal-title":"Inf Softw Technol"},{"key":"29_CR46","doi-asserted-by":"crossref","unstructured":"Pesic M, Schonenberg H, Aalst WM (2007) Declare: full support for loosely structured processes. In 11th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2007), pp 287\u2013287). IEEE","DOI":"10.1109\/EDOC.2007.14"},{"issue":"164","key":"29_CR47","first-page":"1","volume":"22","author":"J Pineau","year":"2021","unstructured":"Pineau J, Vincent-Lamarre P, Sinha K, Larivi\u00e8re V, Beygelzimer A, d\u2019Alch\u00e9-Buc F, Fox E, Larochelle H (2021) Improving reproducibility in machinelearning research (a report from the neurips 2019 reproducibility program). J Mach Learn Res 22(164):1\u201320","journal-title":"J Mach Learn Res"},{"key":"29_CR48","unstructured":"Recker J, Indulska M, Rosemann M, Green P (2006) How good is bpmn really? insights from theory and practice. In Proceedings of the 14th European Conference on Information Systems, IT University of Goteborg, pp. 1\u201312"},{"issue":"4","key":"29_CR49","first-page":"1","volume":"10","author":"J Recker","year":"2009","unstructured":"Recker J, Rosemann M, Indulska M, Green P (2009) Business process modeling-a comparative analysis. J Assoc Inf Syst 10(4):1","journal-title":"J Assoc Inf Syst"},{"key":"29_CR50","doi-asserted-by":"crossref","unstructured":"Rizk Y, Venkateswaran P, Isahagian V, Narcomey A, Muthusamy V (2023) A case for business process-specific foundation models. In International Conference on Business Process Management, Springer, pp. 44\u201356","DOI":"10.1007\/978-3-031-50974-2_4"},{"key":"29_CR51","doi-asserted-by":"crossref","unstructured":"Rosemann M et al (2001) Ontological analysis of integrated process models: testing hypotheses. Australas J Inf Syst 9(1)","DOI":"10.3127\/ajis.v9i1.225"},{"key":"29_CR52","unstructured":"Rosemann M, Green P (2000) Integrating multi-perspective views into ontological analysis. In Proceedings of the Twenty First International Conference on Information Systems, pp 618\u2013627"},{"issue":"4","key":"29_CR53","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1504\/IJBPIM.2009.032282","volume":"4","author":"M Rosemann","year":"2009","unstructured":"Rosemann M, Recker J, Green PF (2009) Indulska, M.: using ontology for the representational analysis of process modelling techniques. International Journal Of Business Process Integration And Management 4(4):251\u2013265","journal-title":"International Journal Of Business Process Integration And Management"},{"key":"29_CR54","unstructured":"Sahoo P, Singh AK, Saha S, Jain V, Mondal S, Chadha A (2024) A systematic survey of prompt engineering in large language models: techniques and applications. arXiv preprint arXiv:2402.07927"},{"issue":"10","key":"29_CR55","doi-asserted-by":"publisher","first-page":"1003285","DOI":"10.1371\/journal.pcbi.1003285","volume":"9","author":"GK Sandve","year":"2013","unstructured":"Sandve GK, Nekrutenko A, Taylor J, Hovig E (2013) Ten simple rules for reproducible computational research. PLoS Comput Biol 9(10):1003285","journal-title":"PLoS Comput Biol"},{"key":"29_CR56","doi-asserted-by":"crossref","unstructured":"Sch\u00f6nig S, Di Ciccio C, Maggi FM, Mendling J (2016) Discovery of multi perspective declarative process models. In Service-Oriented Computing: 14th International Conference, ICSOC 2016, vol 14. Springer, Banff, AB, Canada, 87\u2013103). October 10\u201313, 2016, Proceedings","DOI":"10.1007\/978-3-319-46295-0_6"},{"issue":"7987","key":"29_CR57","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1038\/s41586-023-06647-8","volume":"623","author":"M Shanahan","year":"2023","unstructured":"Shanahan M, McDonell K, Reynolds L (2023) Role play with large language models. Nature 623(7987):493\u2013498","journal-title":"Nature"},{"key":"29_CR58","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1007\/978-3-031-82225-4_46","volume-title":"Process mining workshops","author":"W Silva Santos","year":"2025","unstructured":"Silva Santos W, Coutinho JR, Baia\u00f5 F, Spyrides GM, Lopes HCV (2025) Terpsichora: a tool to generate synthetic mp-declare process models. In: Delgado A, Slaats T (eds) Process mining workshops. Springer, Cham, pp 624\u2013636"},{"key":"29_CR59","first-page":"111","volume":"2196","author":"V Skydanienko","year":"2018","unstructured":"Skydanienko V, Di Francescomarino C, Ghidini C, Maggi FM (2018) A tool for generating event logs from multi-perspective declare models. BPM (dissertation\/Demos\/Industry) 2196:111\u2013115","journal-title":"BPM (dissertation\/Demos\/Industry)"},{"issue":"1","key":"29_CR60","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s13740-020-00112-9","volume":"9","author":"T Slaats","year":"2020","unstructured":"Slaats T (2020) Declarative and hybrid process discovery: recent advances and open challenges. J Data Semant 9(1):3\u201320","journal-title":"J Data Semant"},{"key":"29_CR61","doi-asserted-by":"crossref","unstructured":"Sola D, Warmuth C, Sch\u00e4fer B, Badakhshan P, Rehse J-R, Kampik T (2022) Sap signavio academic models: a large process model dataset. In International Conference on Process Mining, Springer, pp. 453\u2013465","DOI":"10.1007\/978-3-031-27815-0_33"},{"key":"29_CR62","unstructured":"Sutton RS (2018) Reinforcement learning: an introduction. A Bradford Book"},{"key":"29_CR63","doi-asserted-by":"publisher","unstructured":"Tu L, Yavuz S, Qu J, Xu J, Meng R, Xiong C, Zhou Y (2024) Unlocking anticipatory text generation: a constrained approach for large language models decoding. In: Al-Onaizan Y, Bansal M, Chen Y-N (eds) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Miami, Florida, USA, 15532\u201315548). https:\/\/doi.org\/10.18653\/v1\/2024.emnlp-main.870","DOI":"10.18653\/v1\/2024.emnlp-main.870"},{"key":"29_CR64","doi-asserted-by":"crossref","unstructured":"Vidgof M, Bachhofner S, Mendling J (2023) Large language models for business process management: opportunities and challenges. In International Conference on Business Process Management, Springer, pp. 107\u2013123","DOI":"10.1007\/978-3-031-41623-1_7"},{"key":"29_CR65","doi-asserted-by":"publisher","DOI":"10.4324\/9781003141693","volume-title":"Research methods: the basics","author":"N Walliman","year":"2021","unstructured":"Walliman N (2021) Research methods: the basics. Routledge"},{"key":"29_CR66","doi-asserted-by":"crossref","unstructured":"Wang X, Xiao Y, Huang J-T, Yuan S, Xu R, Guo H, Tu Q, Fei Y, Leng ZWang W et al (2024) Incharacter: evaluating personality fidelity in role playing agents through psychological interviews. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp 1840\u20131873","DOI":"10.18653\/v1\/2024.acl-long.102"},{"key":"29_CR67","unstructured":"Weber R, Lybrand C (1997) Ontological foundations of information systems. Coopers & Lybrand accounting research methodology monograph. Coopers & Lybrand and the accounting association of Australia and New Zealand. https:\/\/books.google.com.br\/books?id=zmaVMQEACAAJ"},{"key":"29_CR68","unstructured":"Weske M, Decker G, Dumas M, La Rosa M, Mendling J, Reijers HA (2020) Model collection of the business process management academic initiative. URL https:\/\/zenodo.org\/record\/3758705"},{"key":"29_CR69","doi-asserted-by":"publisher","unstructured":"Xu B, Yang A, Lin J, Wang Q, Zhou C, Zhang Y, Mao Z (2023) Expert prompting: instructing large language models to be distinguished experts. CoRr abs\/2305(14688). https:\/\/doi.org\/10.48550\/ARXIV.2305.146882305.14688","DOI":"10.48550\/ARXIV.2305.146882305.14688"},{"key":"29_CR70","unstructured":"Yan F, Mao H, Ji CC-J, Zhang T, Patil SG, Stoica I, Gonzalez JE (2024) Berkeley function calling leaderboard. https:\/\/gorilla.cs.berkeley.edu\/blogs\/8_berkeley_function_calling_leaderboard.html"},{"key":"29_CR71","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1007\/978-3-319-08222-6_6","volume-title":"Asia pacific business process management: second asia pacific conference, AP-BPM 2014","author":"Z Yan","year":"2014","unstructured":"Yan Z, Dijkman R, Grefen P (2014) Generating synthetic process model collections with properties of labeled real-life models. In: Asia pacific business process management: second asia pacific conference, AP-BPM 2014, vol 2. Springer, Brisbane, QLD, Australia, pp 74\u201388. July 3\u20134, 2014. Proceedings"},{"key":"29_CR72","unstructured":"Zugal S, Soffer P, Pinggera J, Weber B (2015) Dimensions of understandability in process models. In International Conference on Enterprise, Business-Process and Information Systems Modeling, pp 132\u2013147"}],"container-title":["Process Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44311-025-00029-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44311-025-00029-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44311-025-00029-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T06:51:41Z","timestamp":1762325501000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44311-025-00029-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,5]]},"references-count":72,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["29"],"URL":"https:\/\/doi.org\/10.1007\/s44311-025-00029-1","relation":{},"ISSN":["2948-2178"],"issn-type":[{"value":"2948-2178","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,5]]},"assertion":[{"value":"7 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 October 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 November 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"21"}}