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Investigating the Use of a Contextualized Vocabulary in the Identification of Technical Debt: A Controlled Experiment.

, , , , , и . ICEIS (1), стр. 369-378. SciTePress, (2016)

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André Luiz Freitas Francisco

Mario De Matteis

Víctor Farías

Ignacio Farías

Ayres Freitas

 

Другие публикации лиц с тем же именем

Procedural x OO - A Corporative Experiment on Source Code Clone Mining., , и . ICEIS (2), стр. 395-402. SciTePress, (2017)A Study on Identification of Documentation and Requirement Technical Debt through Code Comment Analysis., , , и . SBQS, стр. 21-30. ACM, (2018)Recovering Valuable Information Behaviour from OSS Contributors: An Exploratory Study., , , , и . SEKE, стр. 474-477. Knowledge Systems Institute Graduate School, (2014)Industrial and OSS developers' profiles: a family of experiments to evaluate a pioneering neuro-linguistic method for preferred representational systems automatic detection., , , , и . J. Braz. Comput. Soc., 27 (1): 4 (2021)A systematic mapping study on mining software repositories., , , , , и . SAC, стр. 1472-1479. ACM, (2016)Identifying Technical Debt through a Code Comment Mining Tool., , , , , , и . SBSI, стр. 18:1-18:8. ACM, (2019)A Contextualized Vocabulary Model for identifying technical debt on code comments., , , и . MTD@ICSME, стр. 25-32. IEEE Computer Society, (2015)Identifying self-admitted technical debt through code comment analysis with a contextualized vocabulary., , , и . Inf. Softw. Technol., (2020)Decision Criteria for the Payment of Technical Debt in Software Projects: A Systematic Mapping Study., , , и . ICEIS (1), стр. 572-579. SciTePress, (2016)Impacts of agile requirements documentation debt on software projects: a retrospective study., , , , , и . SAC, стр. 1290-1295. ACM, (2016)