Our system is currently under heavy load due to increased usage. We're actively working on upgrades to improve performance. Thank you for your patience.
2020
DOI: 10.1016/j.aci.2019.03.002
|View full text |Cite
|
Sign up to set email alerts
|

Revised approach for the prediction of functional size of mobile application

Abstract: Mobile applications affect our everyday activities and have become more and more information centric. Effort estimation for mobile application is an essential factor to consider in the development cycle. Due to feature complexities and size, effort estimation of mobile applications poses a continued challenge for developers. This paper attempts to adapt COSMIC Function Point and Unified Modeling Language (UML) techniques to estimate the size of a given mobile application. The COSMIC concepts capture data movem… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
4
1
1

Relationship

1
5

Authors

Journals

citations
Cited by 6 publications
(4 citation statements)
references
References 11 publications
0
4
0
Order By: Relevance
“…Several researchers [61][62][63][64] mention that UCD frameworks have been developed to create m-health apps because the involvement of end-users in the development process is beneficial for a clear understanding of their needs. Hence, a revised prototype app was produced with improvements based on feedback from the first round of testing.…”
Section: Discussionmentioning
confidence: 99%
“…Several researchers [61][62][63][64] mention that UCD frameworks have been developed to create m-health apps because the involvement of end-users in the development process is beneficial for a clear understanding of their needs. Hence, a revised prototype app was produced with improvements based on feedback from the first round of testing.…”
Section: Discussionmentioning
confidence: 99%
“…Low-latency application computing for mobile users typically requires that the compute processes are migrated among the distributed computing nodes in the edge cloud computing infrastructure to follow and stay in close physical vicinity of the mobile users [124]. A wide variety of modern computing applications are specifically geared toward mobile users [125], e.g. mobile crowd sensing and object detection [126,127], as well as control and management information systems for a wide variety of industrial, cyber-physical, and vehicle traffic systems [128][129][130][131].…”
Section: Future Research and Development Directionsmentioning
confidence: 99%
“…There is a function as a whole, meaning that the program being developed must provide the learner's learning desired. Therefore, the mobile application can improve the quality of civic education learning [31]. Mobile learning is related to learning through mobile wireless technology.…”
Section: Mobile Technologies For Civic Education Learningmentioning
confidence: 99%