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Effective fault prediction model developed using least square support vector machine (LSSVM)
Software developers and project teams spend considerable amount of time in identifying
and fixing faults reported by testers and users. Predicting defects and identifying regions in …
and fixing faults reported by testers and users. Predicting defects and identifying regions in …
[PDF][PDF] Empirical studies on software product maintainability prediction: a systematic map** and review
Background: Software product maintainability prediction (SPMP) is an important task to
control software maintenance activity, and many SPMP techniques for improving software …
control software maintenance activity, and many SPMP techniques for improving software …
A systematic literature review on empirical studies towards prediction of software maintainability
Software maintainability prediction in the earlier stages of software development involves
the construction of models for the accurate estimation of maintenance effort. This guides the …
the construction of models for the accurate estimation of maintenance effort. This guides the …
Machine learning techniques for software maintainability prediction: Accuracy analysis
Maintaining software once implemented on the end-user side is laborious and, over its
lifetime, is most often considerably more expensive than the initial software development …
lifetime, is most often considerably more expensive than the initial software development …
Prediction of the diet energy digestion using kernel extreme learning machine: A case study with Holstein dry cows
Q Fu, W Shen, X Wei, Y Zhang, H **n, Z Su… - … and Electronics in …, 2020 - Elsevier
In order to effectively evaluate the diet nutritional and feeding value, it is essential to
accurately predict the indicators of diet energy digestion of dairy cows, thus further …
accurately predict the indicators of diet energy digestion of dairy cows, thus further …
A mixture frailty model for maintainability analysis of mechanical components: a case study
R Zaki, A Barabadi, AN Qarahasanlou… - International Journal of …, 2019 - Springer
Knowing the maintainability of a component or a system means that repair resource
allocations, such as spare part procurement and maintenance training, can be planned and …
allocations, such as spare part procurement and maintenance training, can be planned and …
Qos-based Web service discovery and selection using machine learning
S Rangarajan - arxiv preprint arxiv:1807.01439, 2018 - arxiv.org
In service computing, the same target functions can be achieved by multiple Web services
from different providers. Due to the functional similarities, the client needs to consider the …
from different providers. Due to the functional similarities, the client needs to consider the …
Web service QoS prediction using improved software source code metrics
Due to the popularity of Web-based applications, various developers have provided an
abundance of Web services with similar functionality. Such similarity makes it challenging for …
abundance of Web services with similar functionality. Such similarity makes it challenging for …
Analyzing the productivity of maintenance systems using system dynamics modeling method
E Esmaeili, H Karimian… - International Journal of …, 2019 - Springer
Achievement of industries in production and offering products depends on different factors
like having an appropriate maintenance system. This issue should be reached through the …
like having an appropriate maintenance system. This issue should be reached through the …
Software quality prediction using machine learning
Background The demand for software is increasing every day in various fields. Software
developers put more effort to develop and test the quality of the software and verify its …
developers put more effort to develop and test the quality of the software and verify its …