The effect of Bellwether analysis on software vulnerability severity prediction models

Author:

Kudjo Patrick KwakuORCID,Chen Jinfu,Mensah Solomon,Amankwah Richard,Kudjo Christopher

Funder

National Natural Science Foundation of China

Project of Jiangsu Provincial Six Talent Peaks

Graduate Research Innovation Project of Jiangsu Province

Postdoctoral Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Safety, Risk, Reliability and Quality,Software

Reference82 articles.

1. Amasaki, A. S., & Lokan, C. (2016). Towards better selection between moving windows and growing portfolio. In Proceedings of the 17th International Conference Product-Focused Software Process Improvement: PROFES (vol. 17, pp. 627–630).

2. Arora, A., Krishnan, R., Telang, R., et al. (2010). An empirical analysis of software vendors’ patch release behavior: Impact of vulnerability disclosure. Information Systems Research, 21, 115–132.

3. Baldwin, L. (2018). Research concepts for the practitioner of educational leadership. Brill | Sense.

4. Bayoud, H. A. (2019). Tests of normality: new test and comparative study. Communications in Statistics-Simulation and Computation, 1–22.

5. Belsley, D. A. (1991). A guide to using the collinearity diagnostics. Computer Science in Economics and Management, 4(1), 33–50.

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