Evaluation of context-aware language models and experts for effort estimation of software maintenance issues
M Alhamed, T Storer - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Reflecting upon recent advances in Natural Language Processing (NLP), this paper
evaluates the effectiveness of context-aware NLP models for predicting software task effort …
evaluates the effectiveness of context-aware NLP models for predicting software task effort …
[PDF][PDF] Model-based software effort estimation—a robust comparison of 14 algorithms widely used in the data science community
The emergence of the data science discipline has facilitated the development of novel and
advanced machine-learning algorithms for tackling tasks related to data analytics. For …
advanced machine-learning algorithms for tackling tasks related to data analytics. For …
Data smoothing for software effort estimation
The goal of this paper is to improve the estimation performance of software development
effort by mitigating the problem caused by outliers in a historical software project data set …
effort by mitigating the problem caused by outliers in a historical software project data set …
On the application of artificial intelligence and human computation to the automation of agile software task effort estimation
M Alhamed - 2022 - theses.gla.ac.uk
Software effort estimation (SEE), as part of the wider project planning and product road
map** process, occurs throughout a software development life cycle. A variety of effort …
map** process, occurs throughout a software development life cycle. A variety of effort …