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Prediction of Software Effort by Using Non-Linear Power Regression for Heterogeneous Projects Based on Use case Points and Lines of code

  • Published:2023 Issue: Volume:218 Page:1601-1611
  • ISSN:1877-0509
  • Container-title:Procedia Computer Science
  • language:en
  • Short-container-title:Procedia Computer Science

Author:

Sharma Amrita,Chaudhary Neha

Publisher

Elsevier BV

Subject

General Engineering

Reference31 articles.

1. Resource Estimation for Objectory Projects;Karner;Objective Systems” SF AB,1993

2. An effort estimation model for agile software development;Ziauddin;Advances in computer science and its applications (ACSA),2012

3. Software Engineering Economics;Boehm,1981

4. A general empirical solution to the macro software sizing and estimating problem;Putnam;IEEE transactions on Software Engineering,1978

5. Analysis and selection of a regression model for the Use Case Points method using a stepwise approach;Silhavy;Journal of Systems and Software,2017

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1. TSoptEE: two-stage optimization technique for software development effort estimation;Cluster Computing;2024-04-12

2. Integrated Prediction Model for Software Effort of Diversifying Projects Using Machine Learning;2023 11th International Conference on Intelligent Systems and Embedded Design (ISED);2023-12-15

3. Software Effort Estimation with Use Case Point Approach on Website Builder Project: A Systematic Performance Evaluation;2023 Eighth International Conference on Informatics and Computing (ICIC);2023-12-08

4. Neural Network Intelligence Model for Software Projects Cost Prediction;2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS);2023-09-07

5. Software Cost and Effort Estimation: Current Approaches and Future Trends;IEEE Access;2023
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