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SE3M: A model for software effort estimation using pre-trained embedding models

  • Published:2022-07 Issue: Volume:147 Page:106886
  • ISSN:0950-5849
  • Container-title:Information and Software Technology
  • language:en
  • Short-container-title:Information and Software Technology

Author:

De Bortoli Fávero Eliane MariaORCID,Casanova DalcimarORCID,Pimentel Andrey Ricardo

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference60 articles.

1. Systematic literature review of ensemble effort estimation;Idri;J. Syst. Softw.,2016

2. Fuzzy emotional COCOMO II software cost estimation (FECSCE) using multi-agent systems;Kazemifard;Appl. Softw. Comput. J.,2011

3. Adjusted case-based software effort estimation using bees optimization algorithm;Azzeh;Knowl.-Based Intell. Inform. Eng. Syst.,2011

4. LMES: A localized multi-estimator model to estimate software development effort;Bardsiri;Eng. Appl. Artif. Intell.,2013

5. An approach to software development effort estimation using machine learning;Ionescu,2017

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1. On Effectiveness of Further Pre-training on BERT Models for Story Point Estimation;Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering;2023-12-08

2. Software Effort Estimation Based on Ensemble Extreme Gradient Boosting Algorithm and Modified Jaya Optimization Algorithm;International Journal of Computational Intelligence and Applications;2023-11-23

3. Application of Natural Language Processing Techniques in Agile Software Project Management: A Survey;2023 14th International Conference on Information and Communication Systems (ICICS);2023-11-21

4. Research Trends in Software Development Effort Estimation;2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI);2023-09-20

5. A SLR on Deep Learning Models Based on Textual Information For Effort Estimation in Scrum;2023-01-12
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