Effective fault prediction model developed using least square support vector machine (LSSVM)

L Kumar, SK Sripada, A Sureka, SK Rath - Journal of Systems and Software, 2018 - Elsevier
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 …

[PDF][PDF] Empirical studies on software product maintainability prediction: a systematic map** and review

S Elmidaoui, L Cheikhi, A Idri… - E-Informatica Software …, 2019 - bibliotekanauki.pl
Background: Software product maintainability prediction (SPMP) is an important task to
control software maintenance activity, and many SPMP techniques for improving software …

A systematic literature review on empirical studies towards prediction of software maintainability

R Malhotra, K Lata - Soft Computing, 2020 - Springer
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 …

Machine learning techniques for software maintainability prediction: Accuracy analysis

S Elmidaoui, L Cheikhi, A Idri, A Abran - Journal of Computer Science and …, 2020 - Springer
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 …

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 …

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 …

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 …

Web service QoS prediction using improved software source code metrics

S Rangarajan, H Liu, H Wang - Plos one, 2020 - journals.plos.org
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 …

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 …

Software quality prediction using machine learning

F Alaswad, E Poovammal - Materials Today: Proceedings, 2022 - Elsevier
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 …