Methodological framework for the allocation of work packages in global software development

Ruano-Mayoral, Marcos; Casado‐Lumbreras, Cristina; Garbarino-Alberti, Helena; Misra, Sanjay

doi:10.1002/smr.1618

Cited by 13 publications

(19 citation statements)

References 17 publications

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“…Framework [19,20] A methodological framework to allocate work packages among participants in global software development projects. Automated support tools are helpful because they make it easier to use the approach, reducing the effort to perform the process or activity.…”

Section: Ruano-mayoral's Methodologicalmentioning

confidence: 99%

Task Allocation in Distributed Software Development: A Systematic Literature Review

et al. 2018

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Distributed development is a constant need in the software industry. The allocation of tasks, in turn, is a critical activity for any project, especially in a distributed setting. Assigning a task to an individual or team can be done in a rigorous manner, taking into account a number of factors. In this scenario, the more data on factors that influence task assignment are available to support the assignment decision, the more likely the project will succeed. As a result, companies have been looking to build their big data with historical project data, aiming to better their chances of success. Some studies about task allocation in distributed software development (DSD) have been carried out along the years aiming at mapping this topic and its features. Also, some approaches, models, and frameworks to task allocation in DSD have been proposed. This paper presents a systematic review of the literature whose objective is to identify works based on multicriteria models for assigning tasks in DDS projects, especially those based on qualitative decision-making methods, considering the cognitive validity present in some of these methods. The review results allowed identifying several interesting aspects and classifying the works according to a set of questions. In addition, it has made some important findings that may be very useful for those who intend to conduct research with qualitative multicriteria methods, since some of them employ techniques considered psychologically valid to address the complexity of the decision about the task allocation in distributed projects.

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Section: Ruano-mayoral's Methodologicalmentioning

confidence: 99%

Task Allocation in Distributed Software Development: A Systematic Literature Review

et al. 2018

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“…Ruano-Mayoral et al [19] presented a methodological framework to allocate work packages among participants in global software development projects. They claim that the allocation of work packages among the participants of the project is not a simple task.…”

Section: Task Allocation In Distributed Software Developmentmentioning

confidence: 99%

Task Allocation in Distributed Software Development Aided by Verbal Decision Analysis

Filho

Pinheiro

Albuquerque

2016

Advances in Intelligent Systems and Computing

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One of the most critical activities in distributed project management is the allocation of tasks among remote teams. In distributed software development projects, to allocate a task for a team in any of the locations, the project manager needs consider several factors such as team maturity and time zone difference among the sites. Deciding which task to allocate for each team constitutes a decision-making task. This decision is usually made subjectively. The verbal decision analysis is an approach based on solving problems through multi-criteria qualitative analysis, which means it considers the analysis of subjective criteria. This paper describes the application of a verbal decision analysis methodology called ORCLASS to classify the most relevant factors that the project managers should take into account when allocating tasks in distributed software development projects.

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“…Ruano-Mayoral et al [24] A methodological framework to allocate work packages among participants in global software development projects.…”

Section: Task Allocation In Distributed Software Developmentmentioning

confidence: 99%

Task Allocation Approaches in Distributed Agile Software Development: A Quasi-systematic Review

Filho

Pinheiro

Albuquerque

2015

Advances in Intelligent Systems and Computing

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Abstract. Increasingly, software organizations are investing in distributed software development. However, this new scenario introduces a number of new challenges and risks. Organizations have sought alternatives to the traditional software development models by applying agile software development practices to distributed development. The key point in a distributed scenario is related to task allocation. This paper conducts a quasi-systematic review of studies of task allocation in distributed software development projects that incorporate agile practices, trying to establish issues for additional research. The study allows us to conclude that there are few works on task classification and prioritization what suggests a fertile area for work.

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Methodological framework for the allocation of work packages in global software development

Cited by 13 publications

References 17 publications

Task Allocation in Distributed Software Development: A Systematic Literature Review

Task Allocation in Distributed Software Development: A Systematic Literature Review

Task Allocation in Distributed Software Development Aided by Verbal Decision Analysis

Task Allocation Approaches in Distributed Agile Software Development: A Quasi-systematic Review

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