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The content presented in this repository accompanies the paper "Breaking Bad? Semantic Versioning and Impact of Breaking Changes in Maven Central" authored by Lina Ochoa, Thomas Degueule, Jean-Rémy Falleri, and Jurgen Vinju. The paper was submitted and accepted in the Journal of Empirical Software Engineering (EMSE'21). This study is an external and differentiated replication study of the paper "Semantic Versioning and Impact of Breaking Changes in the Maven Repository" presented by Steven Raemaekers, Arie van Deursen, and Joost Visser. Content README.md: document with the main description to start exploring the bundle. data.zip: contains the datasets used within the study. These datasets must be used to get the same results like the ones presented in the article. maven-api-dataset.zip: contains the code used to generate the datasets and to analyse the obtained results. Check the README.md file within this bundle for more information. Relevant Links maven-api-dataset repository: https://github.com/tdegueul/maven-api-dataset maracas repository: https://github.com/crossminer/maracas Companion webpage: https://crossminer.github.io/maracas/2021/08/16/emse21/
API evolution, Maven Central, breaking changes, software evolution, backwards compatibility
API evolution, Maven Central, breaking changes, software evolution, backwards compatibility
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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