An industrial investigation into effort estimation predictors for mobile app development in agile processes
An industrial investigation into effort estimation predictors for mobile app development in agile processes
Effort estimation is essential for all development teams in order to ensure the user's story for the software project is delivered on time, boxed released. The characteristics of mobile apps make app development different from other traditional software. There are many challenges in developing a mobile app that could lead to inaccurate estimation of user stories. Therefore, the aim of this paper is to provide a comprehensive investigation into the factors that affect the accuracy of effort estimation. The effort estimation factors have been collected from previous studies and validated with 20 practitioners across 18 organisations in the development field of mobile applications.
Agile process, development metrics, effort estimation, expert judgment, mobile app, planning poker, predictors
291-296
Altaleb, Abdullah, Rashed
f676e88a-ede3-47af-be89-ecea7382effc
Altherwi, Muna
03ff3298-0612-42d3-9658-545617776d13
Gravell, Andrew
f3a261c5-f057-4b5f-b6ac-c1ca37d72749
11 February 2020
Altaleb, Abdullah, Rashed
f676e88a-ede3-47af-be89-ecea7382effc
Altherwi, Muna
03ff3298-0612-42d3-9658-545617776d13
Gravell, Andrew
f3a261c5-f057-4b5f-b6ac-c1ca37d72749
Altaleb, Abdullah, Rashed, Altherwi, Muna and Gravell, Andrew
(2020)
An industrial investigation into effort estimation predictors for mobile app development in agile processes.
In ICITM 2020 - 2020 9th International Conference on Industrial Technology and Management.
IEEE.
.
(doi:10.1109/ICITM48982.2020.9080362).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Effort estimation is essential for all development teams in order to ensure the user's story for the software project is delivered on time, boxed released. The characteristics of mobile apps make app development different from other traditional software. There are many challenges in developing a mobile app that could lead to inaccurate estimation of user stories. Therefore, the aim of this paper is to provide a comprehensive investigation into the factors that affect the accuracy of effort estimation. The effort estimation factors have been collected from previous studies and validated with 20 practitioners across 18 organisations in the development field of mobile applications.
More information
Published date: 11 February 2020
Keywords:
Agile process, development metrics, effort estimation, expert judgment, mobile app, planning poker, predictors
Identifiers
Local EPrints ID: 440768
URI: http://eprints.soton.ac.uk/id/eprint/440768
PURE UUID: 18a837ee-1bb5-49db-9487-5e380b9005f4
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Date deposited: 15 May 2020 16:56
Last modified: 16 Mar 2024 07:48
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Contributors
Author:
Abdullah, Rashed Altaleb
Author:
Muna Altherwi
Author:
Andrew Gravell
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