Estimating Software Task Effort in Crowds

Alhamed, M. and Storer, T. (2019) Estimating Software Task Effort in Crowds. In: 35th IEEE International Conference on Software Maintenance and Evolution (ICSME 2019), Cleveland, OH, USA, 30 Sep - 04 Oct 2019, pp. 281-285. ISBN 9781728130941 (doi: 10.1109/ICSME.2019.00042)

192033.pdf - Accepted Version



A key task during software maintenance is the refinement and elaboration of emerging software issues, such as feature implementations and bug resolution. It includes the annotation of software tasks with additional information, such as criticality, assignee and estimated cost of resolution. This paper reports on a first study to investigate the feasibility of using crowd workers supplied with limited information about an issue and project to provide comparably accurate estimates using planning poker. The paper describes our adaptation of planning poker to crowdsourcing and our initial trials. The results demonstrate the feasibility and potential efficiency of using crowds to deliver estimates. We also review the additional benefit that asking crowds for an estimate brings, in terms of further elaboration of the details of an issue. Finally, we outline our plans for a more extensive evaluation of planning poker in crowds.

Item Type:Conference Proceedings
Additional Information:Accepted for ICSME 2019 Short Papers Track
Glasgow Author(s) Enlighten ID:Storer, Dr Tim and Alhamed, Mohammed Abdullah M
Authors: Alhamed, M., and Storer, T.
Subjects:Q Science > QA Mathematics > QA76 Computer software
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2019 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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