An Ontology for Task Allocation to Teams in Distributed Software Development

Marques, Anna Beatriz; Carvalho, José Oscar Fontanini de; Rodrigues, Rosiane; Conte, Tayana; Prikladnicki, Rafael; Marczak, Sabrina

doi:10.1109/icgse.2013.12

Cited by 22 publications

(20 citation statements)

References 8 publications

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“…Marques presents a domain ontology to represent concepts related to task allocation in distributed teams in his paper. This method deals with the lack of standardized vocabulary and achieve knowledge acquisition and sharing [23].…”

Section: B Experimental Resultsmentioning

confidence: 99%

“…The successful allocation rate of the expansion matrix method decreases when the number of tasks increases It shows that RHA can effectively allocate tasks to development sites with the lowest cost when the number of tasks changes. In this section, we briefly review the existing task assignment methods [13][14][15][16][17][18][19][20][21][22][23][24][25][26] in global software distribution.…”

Section: B Experimental Resultsmentioning

confidence: 99%

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A Reinforced Hungarian Algorithm for Task Allocation in Global Software Development

Xiao¹,

Wu²,

Jia³

et al. 2017

International Conferences on Software Engineering and Knowledge Engineering

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Abstract-The allocation of software development tasks is a critical management activity in distributed development projects. One of the most important problem is to find the lowest-cost way to assign tasks in global software development, which can be solved by Hungarian algorithm. However, the original Hungarian algorithm only assume that a task can only be solved by one development site. The assumption is not agreed with the actual case where a software development task is usually be solved through a collaboration among several sites. To address such an issue, this paper proposes a reinforced Hungarian algorithm (RHA) for task assignment in global software development. RHA consists of three major stages. First, RHA transforms a n×m cost matrix into two n×n cost matrix by adding (2n-m) virtual development sites. Second, RHA performs the original Hungarian algorithm on the two n×n cost matrix to get the optimal assignment results. Finally, RHA removes the (2n-m) virtual development sites and gets the final optimal assignment result for m tasks. Simulation results indicate that RHA is a viable approach for the task assignment problem in global software development. 1

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Section: B Experimental Resultsmentioning

confidence: 99%

Section: B Experimental Resultsmentioning

confidence: 99%

A Reinforced Hungarian Algorithm for Task Allocation in Global Software Development

Xiao¹,

Wu²,

Jia³

et al. 2017

International Conferences on Software Engineering and Knowledge Engineering

View full text Add to dashboard Cite

show abstract

“…We identified three taxonomies (Gumm 2006;Laurent et al 2010;Šmite et al 2014) and two ontologies (Vizcaíno et al 2012;Marques et al 2013) that provide knowledge organization schemes in the GSE context. It is important to note that other taxonomies were also identified (Ågerfalk and Fitzgerald 2008;Robinson and Kalakota 2010;Hofner et al 2011), but they were already used as basis for Smite et al 's taxonomy (Šmite et al 2014).…”

Section: Background and Literature Reviewmentioning

confidence: 99%

“…• Description approach: Three studies (Laurent et al 2010;Vizcaíno et al 2012;Marques et al 2013) proposed graphical-based approaches that are more adequate to describe rather than to classify GSE projects. It comes from the fact that none of these approaches has dimensions with clear classification criteria associated to them; rather, they provide a set of "variables" that should be instantiated.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

“…The ontology was able to cover all the concepts required by the involved company to represent the GSE project, and in addition it also fostered a common understanding about the represented project. Marques et al (2013) introduced an ontology for team task allocation in GSE projects. This ontology was developed based on the findings of a systematic mapping study performed by the authors and aimed at clarifying the concepts related to team task allocation in distributed projects.…”

Section: Additional Related Workmentioning

confidence: 99%

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An extended global software engineering taxonomy

Britto

Wohlin

Mendes

2016

J Softw Eng Res Dev

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Background: In Global Software Engineering (GSE), the need for a common terminology and knowledge classification has been identified to facilitate the sharing and combination of knowledge by GSE researchers and practitioners. A GSE taxonomy was recently proposed to address such a need, focusing on a core set of dimensions; however its dimensions do not represent an exhaustive list of relevant GSE factors. Therefore, this study extends the existing taxonomy, incorporating new GSE dimensions that were identified by means of two empirical studies conducted recently. Methods: To address the research questions of this study, we used evidence found through a systematic literature review and a survey. Based on literature, new dimensions were added to the existing taxonomy. Results: We identified seven dimensions to extend and incorporate into the recently proposed GSE taxonomy. The resulting extended taxonomy was later on validated by comparing it with the existing taxonomy on which the extension is built and one additional taxonomy. We also demonstrated the utility of the extended taxonomy using it to classify eight finished real GSE projects. The extended taxonomy was representative enough to classify the projects in a clear way. Conclusions:The extended taxonomy can help both researchers and practitioners by providing dimensions that can enable the description of different GSE contexts in a more comprehensive way; this can facilitate the understanding, comparison and aggregation of GSE-related findings.

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