Software aging prediction – a new approach

Shruthi Parashivamurthy, Nagaraj Girish Cholli

Open source

DOI: 10.11591/ijece.v13i2.pp1773-1781
Published: 2023-04-01
Container: International Journal of Electrical and Computer Engineering (IJECE)
Publisher: Institute of Advanced Engineering and Science
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.11591/ijece.v13i2.pp1773-1781,
  title = {Software aging prediction – a new approach},
  author = {Shruthi Parashivamurthy and Nagaraj Girish Cholli},
  year = {2023},
  journal = {International Journal of Electrical and Computer Engineering (IJECE)},
  doi = {10.11591/ijece.v13i2.pp1773-1781},
  url = {https://doi.org/10.11591/ijece.v13i2.pp1773-1781}
}

RIS

TY  - JOUR
TI  - Software aging prediction – a new approach
AU  - Shruthi Parashivamurthy
AU  - Nagaraj Girish Cholli
PY  - 2023
JO  - International Journal of Electrical and Computer Engineering (IJECE)
DO  - 10.11591/ijece.v13i2.pp1773-1781
UR  - https://doi.org/10.11591/ijece.v13i2.pp1773-1781
ER  -

APA

Parashivamurthy, S., & Cholli, N. G. (2023). Software aging prediction – a new approach. International Journal of Electrical and Computer Engineering (IJECE). https://doi.org/10.11591/ijece.v13i2.pp1773-1781

Source records

crossref · retrieved 2026-09-25T11:14:39.827Z