The integration of evolutionary algorithms within Search-Based Software Engineering represents a transformative approach to tackling complex software engineering challenges. By optimizing processes across various development phases and enhancing decision-making capabilities, SBSE stands out as an essential methodology for modern software development practices. Its continued evolution and adoption will likely yield substantial benefits in terms of efficiency, quality, and adaptability in the ever-changing landscape of software engineering. 

I have published different articles in different conferences and well-renounced ISI and Scopus-based journals.


DOI: 10.1109/ICT4M.2016.045

https://ieeexplore.ieee.org/abstract/document/7814898


https://doi.org/10.1016/j.procs.2019.12.135

https://www.sciencedirect.com/science/article/pii/S187705091932174X


DOI: 10.1109/ICETAS48360.2019.9117500 

https://ieeexplore.ieee.org/abstract/document/9117500


DOI: 10.14569/IJACSA.2020.0111287

https://thesai.org/Publications/ViewPaper?Volume=11&Issue=12&Code=IJACSA&SerialNo=87

 

DOI:10.32604/cmc.2022.028386

https://www.techscience.com/cmc/v73n1/47844/html

 

DOI:10.32604/cmc.2022.029096

https://www.techscience.com/cmc/v73n2/48382/html

 

DOI: 10.5121/csit.2023.131204

https://csitcp.org/paper/13/1312csit04.pdf


DOI: 10.3390/app13159010

https://www.mdpi.com/2076-3417/13/15/9010

 

DOI: 10.3390/app132011324   

https://www.mdpi.com/2076-3417/13/20/11324

 

DOI: https://doi.org/10.54216/JISIoT.120209

https://americaspg.com/articleinfo/18/show/2709.