Tirimula Rao Benala

Orcid: 0000-0002-0613-9893

According to our database1, Tirimula Rao Benala authored at least 12 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Computational intelligence for estimating software development effort: a systematic mapping study.
Iran J. Comput. Sci., September, 2024

2023
Efficiency of oversampling methods for enhancing software defect prediction by using imbalanced data.
Innov. Syst. Softw. Eng., September, 2023

2018
DABE: Differential evolution in analogy-based software development effort estimation.
Swarm Evol. Comput., 2018

SEET: Software Development Effort Estimation Using Ensemble Techniques.
ACM SIGSOFT Softw. Eng. Notes, 2018

2014
Software Effort Estimation Using Functional Link Neural Networks Tuned with Active Learning and Optimized with Particle Swarm Optimization.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

2013
Software Effort Estimation Using Functional Link Neural Networks Optimized by Improved Particle Swarm Optimization.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

2012
Computational intelligence in software cost estimation: an emerging paradigm.
ACM SIGSOFT Softw. Eng. Notes, 2012

Functional Link Artificial Neural Networks for Software Cost Estimation.
Int. J. Appl. Evol. Comput., 2012

Software Effort Prediction Using Fuzzy Clustering and Functional Link Artificial Neural Networks.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

2011
Genetic Algorithm for Optimizing Neural Network Based Software Cost Estimation.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

Differential Evolution for Optimizing the Hybrid Filter Combination in Image Edge Enhancement.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

2009
A Novel Approach to Image Edge Enhancement using Artificial Bee Colony Optimization Algorithm for Hybridized Smoothening Filters.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009


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