Location-based mobile application software development: Review of Waze and other apps

Riri Fitri Sari, Adian Fatchur Rochim, Ellen Sophie Wulan Tangkudung, Arman Tan, Timothy Marciano

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

The paper discusses the location-based mobile application (LBMA) technology development. Different approaches to achieve an improvement in LBMA have led to provision of popular and widely accepted applications. We review software engineering development for mobile application to produce best-quality product with predictability and continuous improvement in place. A case study of Waze, one the largest traffic and navigation application, is presented to show how LBMA software has been developed. We discuss some open research areas in mobile application development, as well as the technology, trends, and state of the art applications of LBMA. Map information is needed for selecting effective and efficient choice of transportation mode and routing effective routing and effective routing for the trip to get to the destination. There exist Comany maps based software currently being used worldwide such as Waze, CoPilot, Google Maps, Komoot. Testing and comparison of the freely available LBMA software have been conducted. User evaluation result shows that Waze gets the highest average maximum score of 5 (five) from scale 1–5, at the points of easy use of menu, navigation, fastest user position’s update.

Original languageEnglish
Pages (from-to)2028-2032
Number of pages5
JournalAdvanced Science Letters
Volume23
Issue number3
DOIs
Publication statusPublished - Mar 2017

Keywords

  • Context-aware
  • Location-based mobile application
  • Mobile application
  • Software testing
  • Waze

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