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Studying Expert Initial Set and Hard to Map Cases in Automated Code-to-Architecture Mappings (short paper).

, , and . ECSA (Companion), volume 2978 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)

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Interviews Aided with Machine Learning., , , and . BIR, volume 330 of Lecture Notes in Business Information Processing, page 202-216. Springer, (2018)The relationship of code churn and architectural violations in the open source software JabRef., , and . ECSA (Companion), page 152-158. ACM, (2017)A software infrastructure for information quality assessment., , and . ICIQ, MIT Information Quality Program, (2011)A Survey of Research Methods and Purposes in Mobile Learning., and . Int. J. Mob. Blended Learn., 3 (1): 1-17 (2011)Evaluation of an architectural conformance checking software service., , , and . ECSA Workshops, page 15. ACM, (2016)An exploration and experiment tool suite for code to architecture mapping techniques., , and . ECSA (Companion), page 26-29. ACM, (2019)A Metrics-Based Approach to Technical Documentation Quality., , , and . QUATIC, page 476-481. IEEE Computer Society, (2010)Extracting and expressing experience with mobile learning: lessons learned., and . Int. J. Mob. Learn. Organisation, 4 (4): 428-439 (2010)Assessing the linguistic quality of REST APIs for IoT applications., , , and . J. Syst. Softw., (2022)Using source code density to improve the accuracy of automatic commit classification into maintenance activities., , , and . J. Syst. Softw., (2020)