Kevin Agina Onyango

Kevin Agina Onyango

Tutorial Fellow (TF): School of Computing and Information Technology
konyango@mut.ac.ke

Biography

Kevin Agina Onyango is an accomplished academic and researcher currently pursuing a Ph.D. in Information Technology at Murang’a University of Technology, where he also serves as a Tutorial Fellow. He holds a Master of Science in Information Technology and a Bachelor of Science in Information Technology, both from the same institution. His research areas include Software Engineering, Artificial Intelligence, Software Quality Measurement, Soft Computing, and Object-Oriented Software Metrics, with a focus on improving software quality and complexity analysis with a particular focus on developing metrics and frameworks to assess software complexity. Kevin has contributed to several peer-reviewed journals and conferences, including publications on fuzzy logic models and software complexity metrics. He is actively involved in curriculum development, examination administration, and online teaching coordination. His professional memberships include IEEE Xplore, and he has participated in various workshops and training sessions in areas such as network forensics and cyber security. Kevin’s commitment to advancing knowledge in the field of information technology is evident through his dedication to teaching, research, innovation and mentorship in his roles at Murang’a University of Technology, where he supports undergraduate and diploma students.

Education

  • Jan 2022, Ongoing: Doctor of Philosophy in Information Technology (Ph.D. I.T): Murang’a University of Technology .
  • 2021: Master of Science in Information Technology (MSc. I.T): Murang’a University of Technology
  • 2017: First Class HonorsBachelor of Science in Information Technology (BSc. I.T): Murang’a University of Technology

Publications

  1. K. A. Onyango, M. Muketha, & Micheni, E. M. “A Metrics- Based Fuzzy Logic Model for Predicting the Reusability of Object-Oriented Software”. International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249-8958, Volume-9 Issue-6, August 2020. https://doi.org/10.35940/ijeat.f1627.089620
  2. K. Onyango, and G. W. Mariga. Comparative Analysis on the Evaluation of the Complexity Of C, C++, Java, Php And Python Programming Languages Based on Halstead Software Science. https://doi.org/10.24203/ijcit. v12i1.294. International Journal of Computer and Information Technology (ISSN: 2279 – 0764) Volume 12– Issue 01, March 2023
  3. A. Onyango, J.K. Wambugu, & G. M. Muketha. A Comparative Study of the Lexicographical Complexity of Java, Python, and C Programming Languages Based on Program Characteristics. International Journal of Computer and Information Technology (ISSN: 2279 – 0764). 2023-03.
  4. A. Onyango, G. M. Muketha, and J. G. Ndia. “Structural Complexity Metrics for Laravel Software,” International Journal of Software Engineering & Applications (IJSEA), https://doi.org/10.5121/ijsea.2024.15404. Vol.15, No.4, July 2024.