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Recovering Valuable Information Behaviour from OSS Contributors: An Exploratory Study., , , , и . SEKE, стр. 474-477. Knowledge Systems Institute Graduate School, (2014)A Study on Identification of Documentation and Requirement Technical Debt through Code Comment Analysis., , , и . SBQS, стр. 21-30. ACM, (2018)Procedural x OO - A Corporative Experiment on Source Code Clone Mining., , и . ICEIS (2), стр. 395-402. SciTePress, (2017)Decision Criteria for the Payment of Technical Debt in Software Projects: A Systematic Mapping Study., , , и . ICEIS (1), стр. 572-579. SciTePress, (2016)Investigating the Identification of Technical Debt Through Code Comment Analysis., , , , и . ICEIS (Revised Selected Papers), том 291 из Lecture Notes in Business Information Processing, стр. 284-309. Springer, (2016)Impacts of agile requirements documentation debt on software projects: a retrospective study., , , , , и . SAC, стр. 1290-1295. ACM, (2016)A Contextualized Vocabulary Model for identifying technical debt on code comments., , , и . MTD@ICSME, стр. 25-32. IEEE Computer Society, (2015)Analyzing Distributions of Emails and Commits from OSS Contributors through Mining Software Repositories - An Exploratory Study., , , , и . ICEIS (2), стр. 303-310. SciTePress, (2015)Investigating the Use of a Contextualized Vocabulary in the Identification of Technical Debt: A Controlled Experiment., , , , , и . ICEIS (1), стр. 369-378. SciTePress, (2016)Triangulating Experiments in an Industrial Setting to Evaluate Preferred Representational Systems of Software Developers., , , , и . SBES, стр. 71-80. IEEE Computer Society, (2014)