# Improved Software Effort Estimation Through Machine Learning: Challenges, Applications, and Feature Importance Analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/improved-software-effort-estimation-through-machine-learning-challenges/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Panduranga Vital Terlapu,K. Kishore Raju,G. Kiran Kumar,G. Jagadeeswara Rao,K. Kavitha,Shirina Samreen |
| Citations | 17 |
| DOI | 10.1109/access.2024.3457771 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1109/access.2024.3457771 |
| OpenAlex ID | https://openalex.org/W4402436190 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Panduranga Vital Terlapu](https://scholariq.org/researchers/panduranga-vital-terlapu/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Software Engineering Research](https://scholariq.org/topics/software-engineering-research/)

## Paper topics

- [Software Engineering Research](https://scholariq.org/topics/software-engineering-research/)
- [Software Reliability and Analysis Research](https://scholariq.org/topics/software-reliability-and-analysis-research/)
- [Software System Performance and Reliability](https://scholariq.org/topics/software-system-performance-and-reliability/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.