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Architectural Knowledge Management (AKM) involves the organized handling of information related to architectural decisions and design within a project or organization.
V. R. Basili, G. Caldiera, and D. Rombach, “The Goal Question Metric Approach,” in Encyclopedia of Software Engineering. Wiley, 1994, pp. 528–532
1994
Earlier work this paper cites.
Papineni, Kishore & Roukos, Salim & Ward, Todd & Zhu, Wei Jing. (2002). BLEU: a Method for Automatic Evaluation of Machine Translation. 10.3115/1073083.1073135
2002
Earlier work this paper cites.
Chin-Yew Lin. 2004. ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out, pages 74–81, Barcelona, Spain. Association for Computational Linguistics
2004
Earlier work this paper cites.
Jansen, Anton & Bosch, Jan. (2005). Software Architecture as a Set of Architectural Design Decisions. Proceedings - 5th Working IEEE/IFIP Conference on Software Architecture, WICSA 2005. 2005. 109-120. 10.1109/WICSA.2005.61
2005
Earlier work this paper cites.
Lavie, Alon & Agarwal, Abhaya. (2007). METEOR: An automatic metric for MT evaluation with high levels of correlation with human judgments. 228-231
2007
Earlier work this paper cites.
Tang, Antony & Avgeriou, Paris & Jansen, Anton & Capilla, Rafael & Ali Babar, Muhammad. (2013). A comparative study of architecture knowledge management tools. Journal of Systems and Software. 352-370. 10.1016/j.jss.2009.08.032
2009
Earlier work this paper cites.
Shahin, Mojtaba & Liang, Peng & Khayyambashi, Mohammad. (2009). Architectural Design Decision: Existing Models and Tools. 293-296. 10.1109/WICSA.2009.5290823
2009
Earlier work this paper cites.
C. Wohlin, P. Runeson, M. Host, M. C. Ohlsson, B. Regnell, and A. Wesslen, Experimentation in software engineering. Springer Science & Business Media, 2012
2012
Earlier work this paper cites.
Capilla, Rafael & Jansen, Anton & Tang, Antony & Avgeriou, Paris & Ali Babar, Muhammad. (2016). 10 years of Software Architecture Knowledge Management: Practice and Future. Journal of Systems and Software. 10.1016/j.jss.2015.08.054
2015
Earlier work this paper cites.
Weinreich, Rainer & Groher, Iris. (2016). Software architecture knowledge management approaches and their support for knowledge management activities: A systematic literature review. Information and Software Technology. 80. 10.1016/j.infsof.2016.09.007
2016
Cited alongside, same era.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. In Proceedings of the 31st International Conference on Neural Information Processing Systems (NIPS’17). Curran Associates Inc., Red Hook, NY, USA, 6000–6010
2017
Cited alongside, same era.
Scheerer, Max & Busch, Axel & Koziolek, Anne. (2017). Automatic evaluation of complex design decisions in component-based software architectures. 67-76. 10.1145/3127041.3127059
2017
Cited alongside, same era.
Meinke, Karl & Bennaceur, Amel. (2017). Machine Learning for Software Engineering Models, Methods, and Applications. 10.1145/3183440.3183461
2017
Zhang, Tianyi & Kishore, Varsha & Wu, Felix & Weinberger, Kilian & Artzi, Yoav. (2019). BERTScore: Evaluating Text Generation with BERT
2019
Later among the works it cites.
Brown, Tom & Mann, Benjamin & Ryder, Nick & Subbiah, Melanie & Kaplan, Jared & Dhariwal, Prafulla & Neelakantan, Arvind & Shyam, Pranav & Sastry, Girish & Askell, Amanda & Agarwal, Sandhini & Herbert-Voss, Ariel & Krueger, Gretchen & Henighan, Tom & Child, Rewon & Ramesh, Aditya & Ziegler, Daniel & Wu, Jeffrey & Winter, Clemens & Amodei, Dario. (2020). Language Models are Few-Shot Learners
2020
Later among the works it cites.
Shafiq, Saad & Mashkoor, Atif & Dorn, Christoph & Egyed, Alexander. (2020). Machine Learning for Software Engineering: A Systematic Mapping
2020
Later among the works it cites.
Li, Xueying & Liang, Peng & Li, Zengyang. (2020). Automatic Identification of Decisions from the Hibernate Developer Mailing List. 10.1145/3383219.3383225
2020
Later among the works it cites.
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Cited alongside, same era.
Devlin, Jacob & Chang, Ming-Wei & Lee, Kenton & Toutanova, Kristina. (2018). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
2018
Cited alongside, same era.
Radford, Alec & Narasimhan, Karthik & Salimans, Tim & Sutskever, Ilya. ”Improving language understanding by generative pre-training.” (2018):
2018
Cited alongside, same era.
Shahbazian, Arman & Lee, Youn & Le, Duc & Brun, Yuriy & Medvidovic, Nenad. (2018). Recovering Architectural Design Decisions. 95-9509. 10.1109/ICSA.2018.00019
2018
Cited alongside, same era.
Raffel, Colin, Noam M. Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li and Peter J. Liu. “Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.” J. Mach. Learn. Res. 21 (2019): 140:1-140:67
2019
Cited alongside, same era.
Bhat, Manoj & Tinnes, Christof & Shumaiev, Klym & Biesdorf, Andreas & Hohenstein, Uwe & Matthes, Florian. (2019). ADeX: A Tool for Automatic Curation of Design Decision Knowledge for Architectural Decision Recommendations. 10.1109/ICSA-C.2019.00035
2019
Cited alongside, same era.
Wang, April & Wang, Dakuo & Drozdal, Jaimie & Muller, Michael & Park, Soya & Weisz, Justin & Liu, Xuye & Wu, Lingfei & Dugan, Casey. (2022). Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks. ACM Transactions on Computer-Human Interaction. 29. 1-33. 10.1145/3489465
2022
Later among the works it cites.
Gu, Jian & Salza, Pasquale & Gall, Harald. (2022). Assemble Foundation Models for Automatic Code Summarization. 935-946. 10.1109/SANER53432.2022.00112
2022
Later among the works it cites.
Buchgeher, Georg & Schöberl, Stefan & Geist, Verena & Dorninger, Bernhard & Haindl, Philipp & Weinreich, Rainer. (2023). Using Architecture Decision Records in Open Source Projects – An MSR Study on GitHub. IEEE Access. 11. 63725 - 63740. 10.1109/ACCESS.2023.3287654
2023
Later among the works it cites.
Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, Dietrich Klakow, and Yanai Elazar. 2023. Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation. In Findings of the Association for Computational Linguistics: ACL 2023, pages 12284–12314, Toronto, Canada. Association for Computational Linguistics
2023
Later among the works it cites.
Mu, Fangwen & Chen, Xiao & Shi, Lin & Wang, Song & Wang, Qing. (2023). Developer-Intent Driven Code Comment Generation
2023
Later among the works it cites.