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As part of the research work that investigates crowds' ability to predict an expert-comparable estimate for software development and maintenance tasks, it was crucial to find such tasks annotated by expert estimates and descriptions. In the same time, it was essential for those tasks to be open so that the public crowd can predict them. Up to our knowledge, the literature has no such data set. Fortunately, some open-source software projects and communities have open issues tracker systems, e.g. JIRA, that contains software development and maintenance issues (tasks) annotated with expert estimates. From which, the JIRA Open Source Software Effort (JOSSE) Data set was collected as part of Crowd Planing Poker (CPP) research.
human computation, agile development, effort estimation, crowdsourcing, planning poker, software engineering
human computation, agile development, effort estimation, crowdsourcing, planning poker, software engineering
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