Characterizing Technical Debt and Antipatterns in AI-Based Systems: A
Systematic Mapping Study

Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study

17 March 2021

Justus Bogner

Roberto Verdecchia

I. Gerostathopoulos

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Papers citing "Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study"

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Title
Towards Guidelines for Assessing Qualities of Machine Learning Systems Julien Siebert Lisa Joeckel J. Heidrich K. Nakamichi Kyoko Ohashi I. Namba Rieko Yamamoto M. Aoyama 57 47 0 25 Aug 2020
Quality Management of Machine Learning Systems P. Santhanam 39 18 0 16 Jun 2020
Engineering AI Systems: A Research Agenda J. Bosch I. Crnkovic Helena Holmström Olsson AI4TS 98 100 0 16 Jan 2020
Taxonomy of Real Faults in Deep Learning Systems Nargiz Humbatova Gunel Jahangirova Gabriele Bavota Vincenzo Riccio Andrea Stocco Paolo Tonella 92 268 0 24 Oct 2019
Component Mismatches Are a Critical Bottleneck to Fielding AI-Enabled Systems in the Public Sector Grace A. Lewis S. Bellomo April Galyardt 43 6 0 14 Oct 2019
Studying Software Engineering Patterns for Designing Machine Learning Systems Hironori Washizaki Hiromu Uchida Foutse Khomh Yann-Gaël Guéhéneuc 49 77 0 10 Oct 2019
Machine Learning Software Engineering in Practice: An Industrial Case Study M. S. Rahman Emilio Rivera Foutse Khomh Yann-Gaël Guéhéneuc Bernd Lehnert 44 45 0 17 Jun 2019
Software Engineering Challenges of Deep Learning Anders Arpteg B. Brinne L. Crnkovic-Friis J. Bosch 81 175 0 29 Oct 2018