Abstract
Software ecosystems are typically networks of organizations collaboratively serving a market for software around a technical platform. Software ecosystem orchestrators are responsible for the health of these networks, for instance by attracting new applications to application stores and by opening new parts of the platform for extension. Considering the amounts of application data that orchestrators have to deal with, we propose an approach for strategic analysis of the software ecosystem that uses topic modeling. With our approach, orchestrators are supported in their task of growing and pruning their platform software ecosystem. We illustrate the use of the approach in two case studies of rapidly expanding and competing software platform ecosystems.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2024 IEEE/ACM International Workshop on Software-Intensive Business, IWSiB 2024 |
| Publisher | Association for Computing Machinery |
| Pages | 72-78 |
| Number of pages | 7 |
| ISBN (Electronic) | 9798400705717 |
| ISBN (Print) | 9798400705717 |
| DOIs | |
| Publication status | Published - 26 Aug 2024 |
| Event | 7th International Workshop on Software-Intensive Business, IWSiB 2024, held in conjunction with ICSE 2024 - Lisbon, Portugal Duration: 16 Apr 2024 → … |
Publication series
| Name | Proceedings - 2024 IEEE/ACM International Workshop on Software-Intensive Business, IWSiB 2024 |
|---|
Conference
| Conference | 7th International Workshop on Software-Intensive Business, IWSiB 2024, held in conjunction with ICSE 2024 |
|---|---|
| Country/Territory | Portugal |
| City | Lisbon |
| Period | 16/04/24 → … |
Bibliographical note
Publisher Copyright:© 2024 held by the owner/author(s).
Keywords
- app store mining
- domain analysis
- repository mining
- software ecosystem health
- topic modelling applications
