Accumulative Bi-Damped Oscillation Model for the Sequential Process of Software Defect Discovery

Dynamic characteristic was analyzed for the hydraulic anti-sway system,and established the mathematical model of crane system by using Lagrange equation. For crane load swing problems, established the Parametric oscillation model of crane, through coordinate transformation, transformed the differential equation of crane into the standard form of Hill equation, and with research on Hill equation we can get the condition about damped oscillation. With the introduction of the parameter plane, the stable map of Hill equation can be drawed, i.e. the map of load damped oscillation. We used MATLAB-Simulink to simulate. The vertical motion of hoist has obvious influence on load sway. Through controlling cable length lifting motor has some good help to lowering sway angl of crane load.

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Attitude correction of stratospheric airship based on damped oscillation model

2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE) ◽

10.1109/eitce47263.2019.9094778 ◽

2019 ◽

Author(s):

FENG Yao ◽

WANG Hong ◽

QU Zhiguo ◽

LI Fan

Keyword(s):

Stratospheric Airship ◽

Oscillation Model ◽

Damped Oscillation

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Noise Discrimination Method for Partial Discharge Current Focused on Damped Oscillation Waveform

IEEJ Transactions on Fundamentals and Materials ◽

10.1541/ieejfms.138.64 ◽

2018 ◽

Vol 138 (2) ◽

pp. 64-70

Author(s):

Hirotaka Torii ◽

Yuji Hayase ◽

Keisuke Yamashiro ◽

Satoshi Matsumoto

Keyword(s):

Discharge Current ◽

Partial Discharge ◽

Damped Oscillation ◽

Discrimination Method

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Software Defect Prediction Incremental Model using Ensemble Learning

International Journal of Performability Engineering ◽

10.23940/ijpe.20.11.p9.17711780 ◽

2020 ◽

Vol 16 (11) ◽

pp. 1771

Author(s):

Wang Shibo ◽

Li Yong ◽

Mi Wenbo ◽

Liu Ying

Keyword(s):

Ensemble Learning ◽

Defect Prediction ◽

Software Defect Prediction ◽

Incremental Model ◽

Software Defect

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A Literature Review Study of Software Defect Prediction using Machine Learning Techniques

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v6i6.286 ◽

2018 ◽

Vol 6 (6) ◽

pp. 300 ◽

Cited By ~ 3

Author(s):

Feidu Akmel ◽

Ermiyas Birihanu ◽

Bahir Siraj

Keyword(s):

Machine Learning ◽

Software Metrics ◽

Quality Standard ◽

Machine Learning Techniques ◽

Software Systems ◽

Health Care Insurance ◽

Software Defect ◽

Learning Techniques ◽

Software Product

Software systems are any software product or applications that support business domains such as Manufacturing,Aviation, Health care, insurance and so on.Software quality is a means of measuring how software is designed and how well the software conforms to that design. Some of the variables that we are looking for software quality are Correctness, Product quality, Scalability, Completeness and Absence of bugs, However the quality standard that was used from one organization is different from other for this reason it is better to apply the software metrics to measure the quality of software. Attributes that we gathered from source code through software metrics can be an input for software defect predictor. Software defect are an error that are introduced by software developer and stakeholders. Finally, in this study we discovered the application of machine learning on software defect that we gathered from the previous research works.

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