Requirement Prioritization Using Adaptive Fuzzy Hierarchical Cumulative Voting

Jawale, Bhagyashri; Patnaik, Girish Kumar; Bhole, Ashish T.

doi:10.1109/iacc.2017.0034

Cited by 11 publications

(11 citation statements)

References 10 publications

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“…Apesar da quantidade limitada de trabalhos referentes a PADS, uma quantidade considerável de trabalhos está relacionada a priorização de requisitos [3,5,8,12,14,16,17,23,31]. Como citado anteriormente os conceitos são relacionados.…”

Section: Trabalhos Relacionadosunclassified

“…Diferentes métodos já foram explorados na literatura visando solucionar os problemas e desafios existentes relacionados a priorização de requisitos, entre eles podem-se destacar, as técnicas baseadas em um Processo Hierárquico Analítico [12], Custo-Valor [3], Votação Cumulativa [8], Votação Cumulativa Hierárquica [14], jogos de planejamento [16], aprendizagem de máquina [23], algoritmos genéticos [31] e também abordagens colaborativas [5].…”

Section: Priorização De Requisitos De Software (Prs)unclassified

“…Visando superar o problema apresentado pela Votação Cumulativa, foi criado o método de Votação Cumulativa a Hierárquica, que é uma mistura do método de Votação Cumulativa com o Processo Hierárquico Analítico [14].…”

Section: Priorização De Requisitos De Software (Prs)unclassified

“…Na literatura, diferentes trabalhos apresentam métodos relacionados a priorização de atividades que compõe um PDS, tais como a priorização de casos de teste [9,18], a priorização de Atividades de Desenvolvimento de Software (PADS) [29] e a Priorização de Requisitos de Software (PRS) [3,5,8,12,14,16,17,23,31].…”

Section: Introductionunclassified

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Priorização de Atividades de Desenvolvimento de Software com uma Rede Neural Artificial

Silveira¹,

Marasca²,

Marcon³

et al. 2020

Anais Do XI Computer on the Beach - COTB '20

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Prioritization of development activities in software companies iscommonly performed arbitrarily and subjectively, based solely onthe experience of the company’s employees. Aiming to contributeto the automation of this process, this paper presents a methodof automatic prioritization of software development activities, usingan algorithm that combines the use of a numerical regressionbasedArtificial Neural Network (RNA) with an ordering method.To validate the accuracy of the proposed method, a case study wasconducted, with real data from a software development company.The experiments allowed to evaluate the accuracy of the proposedmethod qualitatively and quantitatively, generating satisfactoryresults, which indicate the feasibility of implementing the proposedmethod in the target company of the case study.

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Section: Trabalhos Relacionadosunclassified

Section: Priorização De Requisitos De Software (Prs)unclassified

Section: Introductionunclassified

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Priorização de Atividades de Desenvolvimento de Software com uma Rede Neural Artificial

Silveira¹,

Marasca²,

Marcon³

et al. 2020

Anais Do XI Computer on the Beach - COTB '20

View full text Add to dashboard Cite

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“…[7][8][9]. Prioritization is important for successful implementation and delivery of projects and in this context effective management plays important role.In global software development (GSD) when vendors and clients are far away from each other's, due to barriers and challenges such as culture difference, lack of effective communication and coordination, gathering and managing of requirements become difficult[10][11].…”

mentioning

confidence: 99%

Requirements Management Model (RMM): A Proposed Model for Successful Delivery of Software Projects

Yaseen¹,

Ali²,

Humayoun³

2019

IJCA

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Requirements management is not easy task especially in global software development where clients and vendors are far away from each other's. For successful implementation of any software project, proper and efficient requirements management is necessary. Purpose of this current work is development of requirements management model (RMM) that can address the factors that have positive impact and the factors that have negative impact during management of requirements. The propose model will provide solutions to the challenges during requirement management. Systematic literature review (SLR) and empirical research study will be conducted for achieving the goals and objectives. The expected results of this study will be RMM that will help vendor organizations in better management of software requirements.

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Software Requirements Classification and Prioritisation Using Machine Learning

Talele

Phalnikar

2020

Machine Learning for Predictive Analysis

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Requirement Prioritization Using Adaptive Fuzzy Hierarchical Cumulative Voting

Cited by 11 publications

References 10 publications

Priorização de Atividades de Desenvolvimento de Software com uma Rede Neural Artificial

Priorização de Atividades de Desenvolvimento de Software com uma Rede Neural Artificial

Requirements Management Model (RMM): A Proposed Model for Successful Delivery of Software Projects

Software Requirements Classification and Prioritisation Using Machine Learning

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