Reliable machine learning models for estimating effective software development efforts: A comparative analysis-Reference-Cited by-同舟云学术

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Reliable machine learning models for estimating effective software development efforts: A comparative analysis

Published:2023-07 Issue: Volume: Page:
ISSN:2307-1877
Container-title:Journal of Engineering Research
language:en
Short-container-title:Journal of Engineering Research

Author:

Jadhav Akshay^ORCID,Shandilya Shishir Kumar

Publisher

Elsevier BV

Subject

General Engineering

Reference86 articles.

1. J.S. Pinkster, Four methods for software effort estimation(2016).

2. Production of large computer programs;Benington;Ann. Hist. Comput.,1983

3. Effort estimation in agile software development: a systematic literature review;Usman;Assoc. Comput. Mach.,2014

4. Quality measurement in agile and rapid software development: a systematic mapping;López;J. Syst. Softw.,2022

5. Security in agile software development: a practitioner survey;Rindell;Inf. Softw. Technol.,2021

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1. Challenges of Integrating Artificial Intelligence in Software Project Planning: A Systematic Literature Review;Digital;2024-06-29

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

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