A Non-Parametric Approach for Survival Analysis of Component-Based Software

Chopra, Sandeep; Nautiyal, Lata; Malik, Prashant; Ram, Mangey; Sharma, Mahesh Kumar

doi:10.33889/ijmems.2020.5.2.025

Cited by 4 publications

(3 citation statements)

References 19 publications

(17 reference statements)

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“…Components of the third organization will become integrated as per client requirements and such components are well-organized, independent, high quality, and well secure. This type of methodology is known as CBSD [1].…”

Section: Introductionmentioning

confidence: 99%

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Critical Success Factors of Component-Based Software Outsourcing Development From Vendors’ Perspective: A Systematic Literature Review

Khan

et al. 2022

IEEE Access

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Component-Based Software Development (CBSD) is a very demanding approach for developing complex products or systems. In CBSD, software or product is creating from reusable pieces of components. With the help of CBSD, a complex system or software is developed with high quality, security, and within limited time and cost. However, this research will convince the outsourcing vendor organization to adopt the component software development using the CBSD approaches. A Systematic Literature Review (SLR) is used to extract all the possible success factors regarding CBSD that have positively impact software outsourcing vendor organization. The identified success factors comprise 'Well Trained and Skilled Team'; ' Proper Selection of Components'; ' Using Standard for Designing'; ' Well defined Architecture'; ' Proper Testing and Analysis; ' Efficient Integration'; ' Quality Assurance'; ' Proper Documentation'; 'well-organized security'; ' Trusted and Certified.' This research paper is also identifying the differences and similarities of success factors in various continents. This research paper is also convincing the software outsourcing vendor organization to adopt the concept of CBSD. The proposed method has analyzed the identified challenges continent-wise using the Chi-Square test to determine the significant difference.

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Section: Introductionmentioning

confidence: 99%

“…The term reliability can be defined as the "Probability of a system to perform its function correctly for a specified period." Traditional methods for estimating reliability cannot be applied to component-based software (CBS) applications [15].…”

Section: Introductionmentioning

confidence: 99%

Critical Success Factors of Component-Based Software Outsourcing Development From Vendors’ Perspective: A Systematic Literature Review

Khan

et al. 2022

IEEE Access

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“…13 Considering that the usual data obtained in service is mainly collected during maintenance and inspection activities, research studies have demonstrated that the use of survival analysis 14 generates appropriate statistical models to assess failure uncertainties in components, which support the assessment of the reliability of the overall system. 15 In these studies, parametric and nonparametric approaches are used to fit the most appropriate survival/reliability curves or function. The choice of each approach relies on many details of the failure data set.…”

Section: Introductionmentioning

confidence: 99%

Using expert judgement techniques to assess reliability for long service-life components: An application to railway wheelsets

Leite

Infante

Andrade

2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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Due to uncertainties in the deterioration process of long service-life assets, assessing reliability and planning maintenance and inspection activities are often difficult tasks. Most of the methods developed use operational or historical data from the manufacturer to predict the deterioration of the asset and estimate its reliability. However, in practice, such failure data is often scarce (e.g. very rare events) and the reliability prediction models might not be adapted to the operation of the user. In addition, available data gathered from maintenance or inspection tasks might only inform about a short period of time, and it might be difficult to obtain the corresponding reliability predictions as the associated uncertainty is still significant. Hence, this paper introduces a reliability assessment method that quantifies uncertainties regarding the failure of long service-life components. It combines Cooke’s classical method (also known as Structured Expert Judgement) with a histogram technique, creating a performance-based method to assess uncertainty in components lifetime distributions. A case study on railway wheelsets is analysed to illustrate the effectiveness of such approach. The results show that the presented method is able to assess failure rates, which can support decisions in reliability-based maintenance of engineering systems.

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Optimal Profit Analysis of Machine Repair Problem with Repair in Phases and Organizational Delay

Shekhar¹,

Deora²,

Varshney³

et al. 2020

Int J Math, Eng, Manag Sci

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In this article, we study machine repair problems (MRP) consisting of the finite number of operating machines with the provisioning of the finite number of warm standby machines under the care of a single unreliable server. For the machining system’s uninterrupted functioning, an operating machine is immediately replaced with the available warm standby machine in negligible switchover time whenever it fails. The concept of threshold vacation policy: N-policy is also considered. Under this vacation policy, the server starts to serve the failed machines on the accumulation of a pre-specified number of failed machines in the system. The server continues until the system is empty from the failed machines; after that, the server goes for vacation. The notion of an organizational delay, server breakdown, and repair in multiple phases is also conceptualized to build the studied model more realistic. The recursive matrix method is used to find steady-state queue size distribution, and subsequently, various system performance measures are also developed to validate the studied model. The optimal analysis has been performed to identify the critical design parameters for the governing model. The state-of-the-art of the present study is its mathematical modeling of the multi-machine stochastic problem with varied limitations and strategies. The methodology to obtain queue size distribution, optimal design parameters, is beneficial for dealing with other complex and sophisticated real-time machining problems in the service system, computer and communication system, manufacturing and production system, etc. The present problem is limited to fewer machines, which can be extended to more machines with different topologies with high computational facilities.

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A Non-Parametric Approach for Survival Analysis of Component-Based Software

Cited by 4 publications

References 19 publications

Critical Success Factors of Component-Based Software Outsourcing Development From Vendors’ Perspective: A Systematic Literature Review

Critical Success Factors of Component-Based Software Outsourcing Development From Vendors’ Perspective: A Systematic Literature Review

Using expert judgement techniques to assess reliability for long service-life components: An application to railway wheelsets

Optimal Profit Analysis of Machine Repair Problem with Repair in Phases and Organizational Delay

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