Siavvas, M., Tsoukalas, D., Jankovic, M., Kehagias, D., & Tzovaras, D. (2022). Technical debt as an indicator of software security risk: A machine learning approach for software development enterprises. Enterprise Information Systems, 16(5), 1-43. https://doi.org/10.1080/17517575.2020.1824017
Chicago-Zitierstil (17. Ausg.)Siavvas, Miltiadis, Dimitrios Tsoukalas, Marija Jankovic, Dionysios Kehagias, und Dimitrios Tzovaras. "Technical Debt as an Indicator of Software Security Risk: A Machine Learning Approach for Software Development Enterprises." Enterprise Information Systems 16, no. 5 (2022): 1-43. https://doi.org/10.1080/17517575.2020.1824017.
MLA-Zitierstil (9. Ausg.)Siavvas, Miltiadis, et al. "Technical Debt as an Indicator of Software Security Risk: A Machine Learning Approach for Software Development Enterprises." Enterprise Information Systems, vol. 16, no. 5, 2022, pp. 1-43, https://doi.org/10.1080/17517575.2020.1824017.