Enhanced evolutionary computing based artificial intelligence model for web-solutions software reusability estimation

Padhy, Neelamadhab; Singh, Rajvinder; Satapathy, Suresh Chandra

doi:10.1007/s10586-017-1558-0

Cited by 23 publications

(8 citation statements)

References 37 publications

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“…De acordo com Sherif e Vince (2003), existem problemas decorrentes da incompatibilidade com a estrutura das organizações tradicionais, por essas utilizarem metodologias tradicionais como o modelo cascata de desenvolvimento. Outro fator relevante são as ferramentas de apoio ao reúso, as quais podem ser uma barreira técnica a ser enfrentada, devido à dificuldade de se encontrar uma ferramenta que possibilite a localização de ativos reusáveis adequados para o desenvolvimento (Keswani, 2014;Padhy et al, 2019).…”

Section: Reúso Nas Organizaçõesunclassified

A percepção de desenvolvedores frente a utilização de uma ferramenta de apoio ao reuso de software: um estudo de caso em uma pequena empresa de desenvolvimento de software

Rossetto

Notari

Silva

2021

RSD

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Um dos desafios para desenvolvedores e empresas de desenvolvimento de software é a implementação de códigos-fonte de forma padronizada. Para auxiliar neste processo, existem alguns padrões de projetos que fornecem direções como, por exemplo, o reuso de software. Nesse sentido, o presente estudo buscou avaliar o comportamento de desenvolvedores durante a implantação de um ferramenta de apoio ao reuso de software. A avaliação foi realizada por meio da aplicação de questionários antes e depois da implantação da ferramenta de apoio ao reuso de software. Após a realização das análises dos questionários, pode-se perceber que os desenvolvedores compreendem o conceito de reuso de software. Entretanto, realizam a utilização da ferramenta de forma inapropriada. Com isso, percebe-se a necessidade de um empenho de toda a equipe de desenvolvedores juntamente com os gerentes de projeto.

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Section: Reúso Nas Organizaçõesunclassified

A percepção de desenvolvedores frente a utilização de uma ferramenta de apoio ao reuso de software: um estudo de caso em uma pequena empresa de desenvolvimento de software

Rossetto

Notari

Silva

2021

RSD

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“…Neelamdhab Padhy et al (2017a) presented the aging resilient software reusability prediction model. The model was used for the determining the earlier aging-resilient.…”

Section: Literature Surveymentioning

confidence: 99%

“…It improves the software feasibility and the expected use proneness for the components in the software. Few of the advantages of the software reusability are reduced cost for software development, low time consumption in design, high reliability,quality of service, market acquisition, and low maintenance (Padhy, et al, 2017a).…”

Section: Introductionmentioning

confidence: 99%

Hybrid Optimization Driven RideNN for Software Reusability Estimation

Vamkudoth¹,

P²

2020

Journal of Engineering Research is an international, peer-revie

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Measuring the software reusability has become a prime concern in maintaining the quality of the software. Several techniques use software related metrics and measure the reusability factor of the software, but still face a lot of challenges. This work develops the software reusability estimation model for efficiently measuring the quality of the software components over time. Here, the Rider based Neural Network has been used along with the hybrid optimization algorithm for defining the reusability factor. Initially, nine software related metrics are extracted from the software. Then, a holoentropy based log function identifies the Measuring the software reusability has become a prime concern in maintaining the quality of the software. Several techniques use software related metrics and measure the reusability factor of the software, but still face a lot of challenges. This work develops the software reusability estimation model for efficiently measuring the quality of the software components over time. Here, the Rider based Neural Network has been used along with the hybrid optimization algorithm for defining the reusability factor. Initially, nine software related metrics are extracted from the software. Then, a holoentropy based log function identifies the normalized metric function and provides it to the proposed Cat Swarm Rider Optimization based Neural Network (C-RideNN) algorithm for the software reusability estimation. The proposed C-RideNN algorithm uses the existing Cat Swarm Optimization (CSO) along with the Rider Neural Network (RideNN) for the training purpose. Experimentation results of the proposed C-RideNN are evaluated based on metrics, such as Magnitude of Absolute Error (MAE), Mean Magnitude of the Relative Error (MMRE), and Standard Error of the Mean (SEM). The simulation results reveal that the proposed C-RideNN algorithm has improved performance with 0.0570 as MAE, 0.0145 as MMRE, and 0.6133 as SEM.

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“…Padhy et al [5] developed a framework called re-usability optimization based aging-related bugs prediction system, which will estimate the re-usability level. Their focus was on re-usability risk management, where they argued that excessive reused system enters into aging-related bugs.…”

Section: Related Workmentioning

confidence: 99%

An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction

Hota

Kumar

Neti

2019

International Conferences on Distributed Multimedia Systems

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Reliability of any software plays a very important role to assess the quality of the software systems. Reliability analysis and evaluation during early phases of software development life cycle (SDLC) significantly help developer and analysts in the proper allocation of limited resources during testing and maintenance process. The goal of this work is to develop one model using the measurement of the internal structure of the software system i.e., source code metrics for predicting the reason of failure in software during continuously running for a certain time i.e., software aging. Aging-Related Bugs are related with failure during the execution of the software, that leads to degradation in quality, system crashing, misuse of resources, etc.. In this paper, seven different sets of software metrics, seven model training algorithms, one data sampling technique have been empirically investigated and evaluated for predicting agingrelated bugs classes. The trained aging-related bugs prediction models are validated using 5-fold cross-validation techniques. The final observation of this experiment work is assessed over seven open source application software systems. The high-value of performance parameters confirm the predicting capability of data sampling, sets of metrics, and training algorithms to predict aging-related bugs classes.

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Enhanced evolutionary computing based artificial intelligence model for web-solutions software reusability estimation

Cited by 23 publications

References 37 publications

A percepção de desenvolvedores frente a utilização de uma ferramenta de apoio ao reuso de software: um estudo de caso em uma pequena empresa de desenvolvimento de software

A percepção de desenvolvedores frente a utilização de uma ferramenta de apoio ao reuso de software: um estudo de caso em uma pequena empresa de desenvolvimento de software

Hybrid Optimization Driven RideNN for Software Reusability Estimation

An Empirical Analysis on Effectiveness of Source Code Metrics for Aging Related Bug Prediction

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