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Real Time GPS Tracking System MSE Project Phase 3 Presentation

Real Time GPS Tracking System MSE Project Phase 3 Presentation. CIS 895. Bakor Kamal. Outlines. Project Overview Action Items Component Design Assessment Evaluation Performance testing Project Evaluation Lessons Learned Project Evaluation Lessons Learned Future Work Demo

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Real Time GPS Tracking System MSE Project Phase 3 Presentation

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  1. Real Time GPS Tracking SystemMSE ProjectPhase 3 Presentation CIS 895 Bakor Kamal

  2. Outlines • Project Overview • Action Items • Component Design • Assessment Evaluation • Performance testing • Project Evaluation • Lessons Learned • Project Evaluation • Lessons Learned • Future Work • Demo • Questions Department of Computing and Information Sciences - Kansas State University

  3. Project Overview • Goal: • To develop an application for tracking mobile devices which came with GPS functionality with it. • Motivation: • The motivation of developing this project has been my desire of learning more about Mobile programming technology. Moreover, I want to apply what I learned about development lifecycle. Department of Computing and Information Sciences - Kansas State University

  4. Project Overview (Cont.) Department of Computing and Information Sciences - Kansas State University

  5. Action Items • Action Items from the last presentation. • Updating Presentation Tier Chart Department of Computing and Information Sciences - Kansas State University

  6. Action Items (Cont.) • Action Items from the last presentation. • Create USE Spec. to make sure that the rout is valid as the following: Department of Computing and Information Sciences - Kansas State University

  7. Action Items (Cont.) Department of Computing and Information Sciences - Kansas State University

  8. Action Items (Cont.) • Create JML Specification • getLocation is an important function that extract the information of a certine location and update the DB and the map in the cell pone • //@requires location != null; • //@ensures \fresh(azimuth); • //@assignable oldCoordinates, currentCoordinates, queryString ; • //@signals (Exception e) this.getUrl(queryString) == null; • private void getLocation(Location location){ … } Department of Computing and Information Sciences - Kansas State University

  9. Action Items (Cont.) • Project Plan – Cost Estimate • Approximately 190 total hours (All Phase) • 22 hours research • 48 hours documentation • 28 hours design • 106 hours coding • 1000 SLOC Department of Computing and Information Sciences - Kansas State University

  10. Action Items (Cont.) • Productivity • 1000 SLOC / 106 hours = 9.43 SLOC/hour • 10 Documents / 48 hours = 0.2 Docs/hour Department of Computing and Information Sciences - Kansas State University

  11. Component Design Department of Computing and Information Sciences - Kansas State University

  12. Component Design (Cont.) • Attributes: • startTime : The time of the session starts. • lastUpdate : The last time the agent send the point information • startPointLatitude : Position of the start point. • startPointLongitude: Position of the start point. • totalTime : Total time form the first point to the last one. • distance : Total distance from the fist point. • sessionID : A unique ID of the session. • phoneNumber : The id of the user and device. • Methods: • calculateSpeed ( ) : Integer • Method to calculate the average speed. • calcTime ( ) : String • resetSession ( [in] id : String ) : Boolean • This method is responsible for delete all previous points and make the last one as the starting point. Department of Computing and Information Sciences - Kansas State University

  13. Assessment Evaluation Department of Computing and Information Sciences - Kansas State University

  14. Performance testing. • Apache's ab2 used to compute how many requests per second are systems capable of serving. • The used command is the following: • ab2 -c5 -n1000 http://people.cis.ksu.edu/~bakor/MSEProject/includes/myfiles/getgooglemap2.php • C5: concurrency of 5 • N1000: The page will be requested 1000 times • Standard deviation [+/-sd] of a random variable, or population or multistep of values is a measure of the spread of its values. • The time of calling getgooglemap2.php page representing the time needed to receive location information from a device. Department of Computing and Information Sciences - Kansas State University

  15. Performance testing (Cont.) Department of Computing and Information Sciences - Kansas State University

  16. Project Evaluation Department of Computing and Information Sciences - Kansas State University

  17. lessons learned • learning more about Mobile programming technology. • Learn to focus in cretin tasks and learn how to measure the effort for each task. • Working with and understanding more, the UML model. Department of Computing and Information Sciences - Kansas State University

  18. Future Work • Apply the code to calculate location based on the Cell Tower location. • Apply offline GPS recording mode. • Develop .NET agents to extend device coverage (Currently Symbian OS, BlackBerry OS, iPhone OS (OS X iPhone) are covered) Department of Computing and Information Sciences - Kansas State University

  19. Demo http://people.cis.ksu.edu/~bakor/MSEProject/ Department of Computing and Information Sciences - Kansas State University

  20. Questions Department of Computing and Information Sciences - Kansas State University

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