The University of Southampton
University of Southampton Institutional Repository

Effort estimation across mobile app platforms using Agile processes: a systematic literature review

Effort estimation across mobile app platforms using Agile processes: a systematic literature review
Effort estimation across mobile app platforms using Agile processes: a systematic literature review
It is predicted that smartphone numbers will increase to 2.8B in 2018, up from around 2B in 2016. Moreover, revenue from application stores is predicted to reach $189B by 2020, up from $88.3B in 2016 . Software effort and size estimation are essential when it comes to project managers being able to manage and plan a project so as to prevent it from failing. The planning and development of mobile applications differs from other traditional software applications due to the characteristics of the mobile environment, high autonomy requirements, market competition, and many other constraints. Therefore, this paper presents the results of a Systematic Literature Review (SLR) concerning effort and size estimation models in mobile application development; this is followed by a summary of estimation techniques used across mobile apps. In particular, we focus on the software estimation models that are applicable to the Agile Software Development (ASD) process. The aim of this SLR is to provide researchers and practitioners with an overview of the current state-of-the-art software estimation techniques used in mobile applications. At the end of this review, some suggestions, research gaps and possible future work will be presented.
Agile Development, Mobile Applications, Effort Estimation
1796-217X
242
Altaleb, Abdullah
f676e88a-ede3-47af-be89-ecea7382effc
Gravell, Andrew
f3a261c5-f057-4b5f-b6ac-c1ca37d72749
Altaleb, Abdullah
f676e88a-ede3-47af-be89-ecea7382effc
Gravell, Andrew
f3a261c5-f057-4b5f-b6ac-c1ca37d72749

Altaleb, Abdullah and Gravell, Andrew (2018) Effort estimation across mobile app platforms using Agile processes: a systematic literature review. Journal of Software, 13 (4), 242. (doi:10.17706/jsw.13.4.242-259).

Record type: Editorial

Abstract

It is predicted that smartphone numbers will increase to 2.8B in 2018, up from around 2B in 2016. Moreover, revenue from application stores is predicted to reach $189B by 2020, up from $88.3B in 2016 . Software effort and size estimation are essential when it comes to project managers being able to manage and plan a project so as to prevent it from failing. The planning and development of mobile applications differs from other traditional software applications due to the characteristics of the mobile environment, high autonomy requirements, market competition, and many other constraints. Therefore, this paper presents the results of a Systematic Literature Review (SLR) concerning effort and size estimation models in mobile application development; this is followed by a summary of estimation techniques used across mobile apps. In particular, we focus on the software estimation models that are applicable to the Agile Software Development (ASD) process. The aim of this SLR is to provide researchers and practitioners with an overview of the current state-of-the-art software estimation techniques used in mobile applications. At the end of this review, some suggestions, research gaps and possible future work will be presented.

Text
Effort Estimation across Mobile App Platforms using Agile Processes A Systematic Literature Review - Accepted Manuscript
Download (1MB)

More information

Accepted/In Press date: 30 April 2018
e-pub ahead of print date: 30 April 2018
Published date: April 2018
Keywords: Agile Development, Mobile Applications, Effort Estimation

Identifiers

Local EPrints ID: 423021
URI: https://eprints.soton.ac.uk/id/eprint/423021
ISSN: 1796-217X
PURE UUID: 5cc5e0f6-b317-477a-992e-4169627e224f

Catalogue record

Date deposited: 10 Aug 2018 16:30
Last modified: 13 Mar 2019 18:11

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×