Effort Estimation in Traditional and Agile Mobile Application Development & Testing

Smartphones/mobile devices are enduring all the aspects of human life. With the significant increase in demand for applications running on smartphones/mobile devices, developers and testers are anticipated to deliver high quality, on time and within budget applications. The estimation of development...

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Main Authors: kaur, Anureet (Author), Kaur, Kulwant (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2018-12-01.
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LEADER 02549 am a22003013u 4500
001 ijeecs13645_9959
042 |a dc 
100 1 0 |a kaur, Anureet  |e author 
100 1 0 |e contributor 
700 1 0 |a Kaur, Kulwant  |e author 
245 0 0 |a Effort Estimation in Traditional and Agile Mobile Application Development & Testing 
260 |b Institute of Advanced Engineering and Science,   |c 2018-12-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/13645 
520 |a Smartphones/mobile devices are enduring all the aspects of human life. With the significant increase in demand for applications running on smartphones/mobile devices, developers and testers are anticipated to deliver high quality, on time and within budget applications. The estimation of development and testing provides a baseline and act as a tracking gear for stakeholders and developers. There are various approaches for estimation of traditional software development. But mobile applications are considered different from traditional software such as from those running on desktop, laptop or on the web. Many traditional estimation techniques used for these software are adapted to mobile domain. With agile software development (ASD) methodology, the scenario of development and estimation has changed drastically and so as mobile app development and estimation. This paper provides a Systematic Literature Review (SLR) on traditional estimation techniques and agile estimation techniques applied in mobile software/application. Also, effort attributes and accuracy parameters for estimation in mobile apps are presented. However, to date, there are very fewer studies done on the mobile application estimation domain using agile methodology. 
540 |a Copyright (c) 2018 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690 |a Software engineering;metrics 
690 |a Effort estimation; agile development; software engineering; mobile software/application 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 3: December 2018; 1265-1272 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v12.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/13645/9959 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/13645/9959  |z Get fulltext