Abstract
There is a lack of empirical evidence on software ecosystem health metrics, and a need for operationalizable metrics that describe software ecosystem characteristics. This study unveils a new approach for measuring technical variety concisely. Studies show that a high variety opens up new opportunities and thus, better niche creation, and ultimately, improves software ecosystem health. Four different ecosystems are evaluated, and compared. Variety is measured in relation to robustness, and productivity metrics of the ecosystem to uncover the influence of technical variety on software ecosystems. Technical variety indicates a positive correlation with robustness, however acceptance of this statement is not confirmed with certainty due to a weak relation. Furthermore, significant relations indicate differences between ecosystem types.
| Original language | English |
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| Title of host publication | ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery |
| Pages | 725-732 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781450379632 |
| DOIs | |
| Publication status | Published - 27 Jun 2020 |
| Event | 42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020 - Seoul, Korea, Republic of Duration: 27 Jun 2020 → 19 Jul 2020 |
Publication series
| Name | Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020 |
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Conference
| Conference | 42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020 |
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| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 27/06/20 → 19/07/20 |
Bibliographical note
Publisher Copyright:© 2020 ACM.
Keywords
- Niche Creation
- Software Ecosystem Health
- Software Ecosystems
- Technical Variety