A Framework for Adoption of Machine Learning in Industry for Software Defect Prediction-Reference-Cited by-同舟云学术

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A Framework for Adoption of Machine Learning in Industry for Software Defect Prediction

Published:2014 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th International Conference on Software Engineering and Applications
language:
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Author:

Rana Rakesh¹,Staron Miroslaw¹,Hansson Jörgen²,Nilsson Martin³,Meding Wilhelm⁴

Affiliation:

1. University of Gothenburg, Sweden

2. University of Gothenburg and University of Skövde, Sweden

3. Volvo Car Group, Sweden

4. Ericsson, Sweden

Publisher

SCITEPRESS - Science and and Technology Publications

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Acceptance behavior theories and models in software engineering — A mapping study;Information and Software Technology;2024-08

2. Industrial adoption of machine learning techniques for early identification of invalid bug reports;Empirical Software Engineering;2024-07-31

3. Costs and Benefits of Machine Learning Software Defect Prediction: Industrial Case Study;Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering;2024-07-10

4. Drivers of Machine Learning Applications in the Construction Industry of Developing Economies;Lecture Notes in Civil Engineering;2023-09-30

5. Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

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