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In agile software development, maintaining high-quality user stories is crucial, but also challenging.
Fabbrini, F., Fusani, M., Gnesi, S., Lami, G.: The linguistic approach to the natural language requirements quality: benefit of the use of an automatic tool. In: proceedings 26th annual NASA Goddard software engineering workshop. pp. 97–105. IEEE (2001)
2001
Earlier work this paper cites.
Cohn, M.: User stories applied: For agile software development. Addison-Wesley Professional (2004)
2004
Earlier work this paper cites.
Berry, D.M., Bucchiarone, A., Gnesi, S., Lami, G., Trentanni, G.: A new quality model for natural language requirements specifications. In: Proceedings of the international workshop on requirements engineering: foundation of software quality (REFSQ) (2006)
2006
Earlier work this paper cites.
Iso/iec/ieee international standard - systems and software engineering – life cycle processes –requirements engineering. ISO/IEC/IEEE 29148:2011(E) pp. 1–94 (2011). https://doi.org/10.1109/IEEESTD.2011.6146379
2011
Earlier work this paper cites.
Wiegers, K., Beatty, J.: Software requirements. Pearson Education (2013)
2013
Earlier work this paper cites.
Lucassen, G., Dalpiaz, F., Van Der Werf, J.M.E., Brinkkemper, S.: Forging high-quality user stories: towards a discipline for agile requirements. In: 2015 IEEE 23rd international requirements engineering conference (RE). pp. 126–135. IEEE (2015)
2015
Earlier work this paper cites.
Lucassen, G., Dalpiaz, F., van der Werf, J.M.E., Brinkkemper, S.: Improving agile requirements: the quality user story framework and tool. Requirements engineering 21
2016
Earlier work this paper cites.
Dalpiaz, F., Van Der Schalk, I., Brinkkemper, S., Aydemir, F.B., Lucassen, G.: Detecting terminological ambiguity in user stories: Tool and experimentation. Information and Software Technology 110
2019
Earlier work this paper cites.
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.: Language models are few-shot learners. Advances in neural information processing systems 33
2020
Earlier work this paper cites.
Glinz, M., van Loenhoud, H., Staal, S., Bühne, S.: Handbook for the cpre foundation level according to the ireb standard. International Requirements Engineering Board (2020)
2020
Cited alongside, same era.
Ferreira, A.M., da Silva, A.R., Paiva, A.C.: Towards the art of writing agile requirements with user stories, acceptance criteria, and related constructs. In: ENASE. pp. 477–484 (2022)
2022
Cited alongside, same era.
Silver, T., Hariprasad, V., Shuttleworth, R.S., Kumar, N., Lozano-Pérez, T., Kaelbling, L.P.: Pddl planning with pretrained large language models. In: NeurIPS 2022 foundation models for decision making workshop (2022)
2022
Cited alongside, same era.
Wei, J., Wang, X., Schuurmans, D., Bosma, M., Xia, F., Chi, E., Le, Q.V., Zhou, D., et al.: Chain-of-thought prompting elicits reasoning in large language models. Advances in Neural Information Processing Systems 35
2022
Cited alongside, same era.
2023
Later among the works it cites.
Ronanki, K., Berger, C., Horkoff, J.: Investigating chatgpt’s potential to assist in requirements elicitation processes. In: 2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). pp. 354–361. IEEE (2023)
2023
Later among the works it cites.
Shanahan, M., McDonell, K., Reynolds, L.: Role play with large language models. Nature 623
2023
Later among the works it cites.
2023
Later among the works it cites.
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Wu, T., Terry, M., Cai, C.J.: Ai chains: Transparent and controllable human-ai interaction by chaining large language model prompts. In: Proceedings of the 2022 CHI conference on human factors in computing systems. pp. 1–22 (2022)
2022
Cited alongside, same era.
2022
Cited alongside, same era.
2023
Cited alongside, same era.
Niessl, M., Gruber, C., Eder, M.: Restarting scaled agile development at austrian post. Experience Report, 24th International Conference on Agile Software Development (2023)
2023
Cited alongside, same era.
Zamfirescu-Pereira, J., Wong, R.Y., Hartmann, B., Yang, Q.: Why johnny can’t prompt: how non-ai experts try (and fail) to design llm prompts. In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. pp. 1–21 (2023)
2023
Later among the works it cites.
Invest in good stories, and smart tasks. https://xp123.com/articles/invest-in-good-stories-and-smart-tasks/ (Accessed: 2024-1-10)
2024
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Openai. https://platform.openai.com/docs/models (Accessed: 2024-1-10)
2024
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Sri international best practice. https://web.stanford.edu/class/educ303x/wiki-old/uploads/Main/SRI_NABC.doc (Accessed: 2024-1-10)
2024
Closest in time.