In DSD, a lack of direct communication leads to non-trustworthy behavior and knowledge vaporization. Other major issues are related to problems of collaboration and coordination between distributed team members. A significant challenge in DSD is related to handling task allocation-what, when, to whom, and how-to remote teams.
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Both academia and industry are exploring solutions to these challenges of distributed software development. Despite numerous advantages in overcoming barriers of geographically distributed teams, such as different time zones, reduction in development cost, time of development, etc., some of the barriers arise in planning and managing task allocation, coordination, communication, handling of strategic issues, knowledge management, interpersonal relationships, technical issues, team roles and responsibilities, efficiency, and trust among team members. This makes distributed software development (DSD) adoption both challenging and complex. Overall, the proposed approach will have a positive and significant impact in industrial settings.ĭeveloping successful projects where teams are geographically distributed puts pressure on project managers and teams to collaborate and coordinate effectively. 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. 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. 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. It addresses the concerns of (i) enhancing collaboration, (ii) inhibiting knowledge vaporization, and (iii) reducing documentation problems. 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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In distributed software development, planning and managing fair and transparent task allocation is both critical and challenging.