A Decentralized Framework for Managing Task Allocation in Distributed Software Engineering

In distributed software development, planning and managing fair and transparent task allocation is both critical and challenging. The objective of this paper is to propose a decentralized blockchain-oriented, transparent task allocation framework to improve the quality of the task allocation process...

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Autores principales:	Chetna Gupta, Varun Gupta
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	blockchain technology cloud computing distributed software development innovation capabilities knowledge management process innovation Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/bda26d736b954c399bbb41a471bffef0
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spelling	oai:doaj.org-article:bda26d736b954c399bbb41a471bffef02021-11-25T16:33:29ZA Decentralized Framework for Managing Task Allocation in Distributed Software Engineering10.3390/app1122106332076-3417https://doaj.org/article/bda26d736b954c399bbb41a471bffef02021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10633https://doaj.org/toc/2076-3417In distributed software development, planning and managing fair and transparent task allocation is both critical and challenging. The objective of this paper is to propose a decentralized blockchain-oriented, transparent task allocation framework to improve the quality of the task allocation process. It addresses the concerns of (i) enhancing collaboration, (ii) inhibiting knowledge vaporization, and (iii) reducing documentation problems. The proposed method is a novel two-fold process: First, it identifies and categorizes tasks exhibiting different dependencies and complexities to create equal task clusters based on their dependency type, difficulty, cost, and time. Second, it uses a blockchain-oriented framework to broadcast, check bid validity, allow developers to bid on tasks matching their roles and expertise, evaluate, and announce the winner for task allocation using smart contracts. Results of experimentation, surveys, and interviews with software practitioners conclude that the proposed solution is transparent and effective in allocating tasks (with Cranach’s alpha of 0.894) at a low cost of contract execution in a distributed software development environment. Overall, the proposed approach will have a positive and significant impact in industrial settings.Chetna GuptaVarun GuptaMDPI AGarticleblockchain technologycloud computingdistributed software developmentinnovation capabilitiesknowledge managementprocess innovationTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10633, p 10633 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	blockchain technology cloud computing distributed software development innovation capabilities knowledge management process innovation Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	blockchain technology cloud computing distributed software development innovation capabilities knowledge management process innovation Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Chetna Gupta Varun Gupta A Decentralized Framework for Managing Task Allocation in Distributed Software Engineering
description	In distributed software development, planning and managing fair and transparent task allocation is both critical and challenging. The objective of this paper is to propose a decentralized blockchain-oriented, transparent task allocation framework to improve the quality of the task allocation process. It addresses the concerns of (i) enhancing collaboration, (ii) inhibiting knowledge vaporization, and (iii) reducing documentation problems. The proposed method is a novel two-fold process: First, it identifies and categorizes tasks exhibiting different dependencies and complexities to create equal task clusters based on their dependency type, difficulty, cost, and time. Second, it uses a blockchain-oriented framework to broadcast, check bid validity, allow developers to bid on tasks matching their roles and expertise, evaluate, and announce the winner for task allocation using smart contracts. Results of experimentation, surveys, and interviews with software practitioners conclude that the proposed solution is transparent and effective in allocating tasks (with Cranach’s alpha of 0.894) at a low cost of contract execution in a distributed software development environment. Overall, the proposed approach will have a positive and significant impact in industrial settings.
format	article
author	Chetna Gupta Varun Gupta
author_facet	Chetna Gupta Varun Gupta
author_sort	Chetna Gupta
title	A Decentralized Framework for Managing Task Allocation in Distributed Software Engineering
title_short	A Decentralized Framework for Managing Task Allocation in Distributed Software Engineering
title_full	A Decentralized Framework for Managing Task Allocation in Distributed Software Engineering
title_fullStr	A Decentralized Framework for Managing Task Allocation in Distributed Software Engineering
title_full_unstemmed	A Decentralized Framework for Managing Task Allocation in Distributed Software Engineering
title_sort	decentralized framework for managing task allocation in distributed software engineering
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/bda26d736b954c399bbb41a471bffef0
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_version_	1718413163339186176

A Decentralized Framework for Managing Task Allocation in Distributed Software Engineering

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