Machine learning in software defect prediction: A business-driven systematic mapping study

Author:

Stradowski SzymonORCID,Madeyski LechORCID

Funder

Ministerstwo Edukacji i Nauki

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference40 articles.

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2. The Cost of Poor Software Quality in the US: A 2020 Report;Krasner,2020

3. Why google stores billions of lines of code in a single repository;Potvin;Commun. ACM,2016

4. Fault prediction modeling for software quality estimation: Comparing commonly used techniques;Khoshgoftaar;Empir. Softw. Eng.,2003

5. Machine learning for software engineering models, methods, and applications;Meinke,2017

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2. 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

3. Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review;Information and Software Technology;2023-07

4. Revisiting ‘revisiting supervised methods for effort‐aware cross‐project defect prediction’;IET Software;2023-06-27

5. Can we Knapsack Software Defect Prediction? Nokia 5G Case;2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion);2023-05

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