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A Metrics-Based Approach to Technical Documentation Quality.

, , , and . QUATIC, page 476-481. IEEE Computer Society, (2010)

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Extracting and expressing experience with mobile learning: lessons learned., and . Int. J. Mob. Learn. Organisation, 4 (4): 428-439 (2010)Using source code density to improve the accuracy of automatic commit classification into maintenance activities., , , and . J. Syst. Softw., (2020)A Meta-model Describing the Development Process of Mobile Learning., and . ICWL, volume 5686 of Lecture Notes in Computer Science, page 454-463. Springer, (2009)A Study of the Effect of Data Normalization on Software and Information Quality Assessment., , , , and . APSEC (2), page 55-60. IEEE Computer Society, (2013)Current State and Next Steps on Automated Hints for Students Learning to Code., , and . FIE, page 1-5. IEEE, (2020)Semi-automatic mapping of source code using naive Bayes., , and . ECSA (Companion), page 209-216. ACM, (2019)Optimized Dependency Weights in Source Code Clustering., , and . ECSA, volume 12857 of Lecture Notes in Computer Science, page 223-239. Springer, (2021)Evolution and Evaluation of the Model-View-Controller Architecture in Games., , , and . GAS@ICSE, page 8-14. IEEE Computer Society, (2015)Interviews Aided with Machine Learning., , , and . BIR, volume 330 of Lecture Notes in Business Information Processing, page 202-216. Springer, (2018)A Survey of Research Methods and Purposes in Mobile Learning., and . Int. J. Mob. Blended Learn., 3 (1): 1-17 (2011)