The 36th CREST Open Workshop

App Store Analysis

 

Date:  27 - 28 October 2014

Venue: Engineering Front Executive Suite, Roberts Building, UCL (Directions, or 'C5' on the map here, or Find it on Google maps.)

Overview:

App stores provide a rich source of information for software engineering research: It is, of course, possible to extract technical information as with other software systems. However, we can also readily obtain information relating to customer reviews, pricing and popularity. Never before in history of software engineering has so much information been available concerning so many, and so disparate, facets of software systems. Increasingly, the users of apps and app stores are relying on the software they provide for highly nontrivial activities, making app store analysis a pressing concern. This workshop will bring together software engineers to discuss and develop the emerging research agenda in App Store Analysis.

Programme: (Downloadable programme in PDF)

 

 

                                                     +++++++++27 October 2014 – DAY 1+++++++++

10:00   Arrival, Coffee and Pastries

10:30   Welcome and Introductions (Videos1: 240p, 360p, Videos2: 240p, 360p)  

            Mark Harman, CREST Centre, SSE Group, Department of Computer Science, UCL

11:15   On the Impact of API Change- and Fault-proneness on the User Ratings of Android Apps (Slides, Videos: 240p, 360p)  

            Denys Poshyvanyk, Computer Science Department, The College of William and Mary, USA

11:35   Discussion

11:50   Migration of claimed features through App stores

            Mark Harman, CREST Centre, SSE Group, Department of Computer Science, UCL

12:10   Discussion

12:25   Unicorns, Software Design & Mobile Software Analytics (Slides, Videos: 240p, 360p)  

            Michele Lanza, Faculty of Informatics, University of Lugano, Switzerland

12:45   Discussion

13:00   Sandwich lunch at the venue

14:00   Where Does My Sensitive Data Go? – Mining Apps for Abnormal Information Flow (Slides, Videos: 240p, 360p)  

            Andreas Zeller, Computer Science, Saarland University, Germany

14:20   Discussion

14:35   Mining User Reviews in the App Store

            Walid Maalej, University of Hamburg, Hamburg, Germany

14:55   Discussion

15:10   Refreshments

15:40   Extracting Signal from the Noise of User Reviews  (Slides, Videos: 240p, 360p)  

            Leonard Hoon, Swinburne University of Technology, Australia

16:00   Discussion

16:15  Analysis of reviews from the google play store  (Slides, Videos: 240p, 360p)  

            Rachel Harrison, Department of Computing and Communication Technologies, Oxford Brookes University, UK

16:35   Discussion

16:50   Feature request analysis

            William Martin, CREST Centre, SSE Group, Department of Computer Science, UCL, UK

17:10   Discussion

17:25   Predicting Price and Rating (Videos: 240p, 360p)  

            Federica Sarro, CREST Centre, SSE Group, Department of Computer Science, UCL, UK

17:45   Discussion

18:00   Close

                                                   +++++++++28^th October 2014 – DAY 2+++++++++

 

9:30     Arrival, Coffee and Pastries

10:00   TBA

            Bram Adams, École Polytechnique de Montréal, Canada 

10:20   Discussion

10:35   Mobile Apps: Research Challenges

            Ahmed E. Hassan, School of Computing, Queen's University, Canada

10:55   Discussion

11:10   Refreshments

11:40   Breakout groups

12:25   Lunch at the venue     

13:25   Plenary and feedback for groups

14:05   Mining patterns for release cycle time in app stores  (Slides, Videos: 240p, 360p)  

            Maleknaz Nayebi, Electrical and Computer Engineering Department, University of Calgary, Canada

14:25   Discussion

14:40   CHABADA: Checking app behavior against app descriptions  (Slides, Videos: 240p, 360p)  

            Alessandra Gorla, Computer Science, Saarland University, Germany

15:00   Discussion

15:15   Refreshments

15:45   Investigating Country Differences in Mobile App User Behavior and Challenges for Software Engineering  (Slides, Videos: 240p, 360p)           

            Soo Ling Lim, Department of Computer Science, UCL, UK

16:05   Discussion

16:20   The relationship between Price, Popularity and Ratings for Apps and Claimed Features  (Slides, Videos: 240p, 360p)           

            Yuanyuan Zhang, CREST Centre, SSE Group, Department of Computer Science, UCL, UK

16:40   Discussion

16:55   Estimating demand from the sales and ranks data in Apple App Store                    

            Nilam Kaushik, Management Science and Operations, UCL, UK

17:15   Discussion

17:30   Wrap-up

17:45   Close

 

Photos:

 

 

This workshop is supported by the following sponsors:

 

 

Registered Attendees: 

1. Bram Adams, École Polytechnique de Montréal, Canada   
2. Afnan A. Al-Subaihin, SSE Group, Department of Computer Science, UCL, UK
3. Marco Autili, University of L'Aquila, Italy
4. Earl Barr, CREST Centre, SSE Group, Department of Computer Science, UCL, UK
5. Sue Black, SSE Group, Department of Computer Science, UCL, UK
6. Licia Capra, SSE Group, Department of Computer Science, UCL, UK
7. Mariano Ceccato, Fondazione Bruno Kessler, Italy
8. David Clark, CREST Centre, SSE Group, Department of Computer Science, UCL, UK
9. Maria Gomez, INRIA Lille, France
10. Alessandra Gorla, Computer Science, Saarland University, Germany
11. Mark Harman, CREST Centre, SSE Group, Department of Computer Science, UCL, UK
12. Rachel Harrison, Department of Computing and Communication Technologies, Oxford Brookes University, UK
13. Ahmed E. Hassan, School of Computing, Queen's University, Canada
14. Leonard Hoon, Swinburne University of Technology, Australia
15. Syed Islam, CREST Centre, SSE Group, Department of Computer Science, UCL, UK
16. Yue Jia, CREST Centre, SSE Group, Department of Computer Science, UCL, UK
17. Derek Jones, Knowledge Software, UK
18. Nilam Kaushik, Management Science and Operations, UCL, UK
19. Serkan Kirbas, Computer Engineering Department, Bogazici University, Turkey
20. Michele Lanza, Faculty of Informatics, University of Lugano, Switzerland
21. Soo Ling Lim, Department of Computer Science, UCL, UK
22. Walid Maalej, University of Hamburg, Hamburg, Germany
23. Ivano Malavolta, Gran Sasso Science Institute, Italy 
24. Ke Mao, CREST Centre, SSE Group, Department of Computer Science, UCL, UK
25. William Martin, CREST Centre, SSE Group, Department of Computer Science, UCL, UK
26. Maleknaz Nayebi, Electrical and Computer Engineering Department, University of Calgary, Canada
27. Denys Poshyvanyk, Computer Science Department, The College of William and Mary, USA
28. Federica Sarro, CREST Centre, SSE Group, Department of Computer Science, UCL, UK
29. Christoph Stanik, University of Hamburg, Hamburg, Germany
30. Andreas Zeller, Computer Science, Saarland University, Germany
31. Yuanyuan Zhang, CREST Centre, SSE Group, Department of Computer Science, UCL, UK
32. Dimitris Michalakos, Visionmobile Ltd, London, UK
33. Dave Chapman, Deputy Head of Department, Management Science & Innovation and Director MSc Technology Entrepreneurship, UCL, UK
34. Matheus Paixao, CREST Centre, SSE Group, Department of Computer Science, UCL, UK
35. Jean Petric, University of Hertfordshire, UK