Tool-Supported Collaborative Requirements Prioritisation

Busetta, Paolo; Kifetew, Fitsum Meshesha; Muñante, Denisse; Perini, Anna; Siena, Alberto; Susi, Angelo

doi:10.1109/compsac.2017.243

Cited by 18 publications

(22 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…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

See 1 more Smart Citation

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

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.

show abstract

Section: Trabalhos Relacionadosunclassified

“…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

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

show abstract

“…3. AHP gives better result but suffers from scalability problem [8].Because every pair of requirement has to be compared. 4.…”

Section: Related Workmentioning

confidence: 99%

Partly-Automated Scheme (PAS) Reinforced Framework to Prioritize Requirements with Abbreviated User Involvement and Verdict through AHP

Vijayaselvi*,

RABSTRACT

2019

IJITEE

View full text Add to dashboard Cite

Extremely significant phase of SDLC is Requirement Engineering . Building of software and its functionalities successfully is exclusively based on the requirements gathered from the user of the project. The accomplishment of the end product has direct relationship with this Requirement Phase. Requirement Prioritization Process (one of the process) in the Requirement Engineering phase supports the engineers to work out and identify the prioritization among the requirements. From the available methods to prioritize the requirement, AHP is viable but not for large size projects. This work primarily concentrated on applying AHP for bigger projects. In this paper, we constructed a framework to prioritize the requirements with AHP considering Implementation Simplicity for Large Scale project, reduced number of comparisons and precise Stakeholder’s Participation. The proposed framework has been assessed through an exploratory case study that has fixed number of requirements and the status after the arrival of new requirements to the priority list. This is to know about the actuality of the proposed framework, which has been conducted in a software company. The main findings and lessons erudite from the effort are presented.

show abstract

“…Decide. Focusing on software evolution tasks, automated reasoning techniques support collaborative-decision making concerning, for instance, the identification of new requirements, and their prioritization with respect to multiple criteria [15].…”

Section: The Supersede Control Loopmentioning

confidence: 99%

A Situational Approach for the Definition and Tailoring of a Data-Driven Software Evolution Method

Franch

Ralyté

Perini

et al. 2018

Advanced Information Systems Engineering

Self Cite

View full text Add to dashboard Cite

Evolution is a cornerstone activity in the software life cycle. Successful evolution heavily depends on the selection of the right features to be included in the next release. Such selection is difficult, and companies often report bad experiences about user acceptance. To overcome this challenge, there is an increasing number of approaches that propose intensive use of data to drive evolution. This trend has motivated the SUPERSEDE method, which proposes the collection and analysis of user feedback and monitoring data as the baseline to elicit and prioritize requirements, which are then used to plan the next release. However, every company may be interested in tailoring this method depending on factors like project size, scope, privacy issues, etc. In order to provide a systematic approach, we propose the use of Situational Method Engineering to describe SUPERSEDE and guide its tailoring to a particular context.

show abstract

Tool-Supported Collaborative Requirements Prioritisation

Cited by 18 publications

References 26 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

Partly-Automated Scheme (PAS) Reinforced Framework to Prioritize Requirements with Abbreviated User Involvement and Verdict through AHP

A Situational Approach for the Definition and Tailoring of a Data-Driven Software Evolution Method

Contact Info

Product

Resources

About