Evolution of software development effort and cost estimation techniques: five decades study using automated text mining approach

A Jadhav, M Kaur, F Akter - Mathematical Problems in …, 2022 - Wiley Online Library
Software development effort and cost estimation (SDECE) is one of the most important tasks
in the field of software engineering. A large number of research papers have been published …

Predictive models in software engineering: Challenges and opportunities

Y Yang, X Xia, D Lo, T Bi, J Grundy… - ACM Transactions on …, 2022 - dl.acm.org
Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

An empirical comparison of model validation techniques for defect prediction models

C Tantithamthavorn, S McIntosh… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Defect prediction models help software quality assurance teams to allocate their limited
resources to the most defect-prone modules. Model validation techniques, such as-fold …

Robust statistical methods for empirical software engineering

B Kitchenham, L Madeyski, D Budgen, J Keung… - Empirical Software …, 2017 - Springer
There have been many changes in statistical theory in the past 30 years, including
increased evidence that non-robust methods may fail to detect important results. The …

Why linked data is not enough for scientists

S Bechhofer, I Buchan, D De Roure, P Missier… - Future Generation …, 2013 - Elsevier
Scientific data represents a significant portion of the linked open data cloud and scientists
stand to benefit from the data fusion capability this will afford. Publishing linked data into the …

Online state of health estimation on NMC cells based on predictive analytics

M Berecibar, F Devriendt, M Dubarry, I Villarreal… - Journal of Power …, 2016 - Elsevier
Accurate on board state of health estimation is a key battery management system function to
provide optimal management of the battery system under control. In this regard, this paper …

[HTML][HTML] Six strategies for generalizing software engineering theories

R Wieringa, M Daneva - Science of computer programming, 2015 - Elsevier
General theories of software engineering must balance between providing full
understanding of a single case and providing partial understanding of many cases. In this …

Toward comprehensible software fault prediction models using bayesian network classifiers

K Dejaeger, T Verbraken… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Software testing is a crucial activity during software development and fault prediction models
assist practitioners herein by providing an upfront identification of faulty software code by …

[HTML][HTML] Why you should stop predicting customer churn and start using uplift models

F Devriendt, J Berrevoets, W Verbeke - Information Sciences, 2021 - Elsevier
Uplift modeling has received increasing interest in both the business analytics research
community and the industry as an improved paradigm for predictive analytics for data-driven …

Evaluation of estimation in software development using deep learning-modified neural network

N Sreekanth, J Rama Devi, KA Shukla, DK Mohanty… - Applied …, 2023 - Springer
For both clients and developers in the development of software, the effort estimate is vital.
Lower efforts may lead to poorly created processes, low-quality and delayed budgets being …