Context
Tangled commits are changes to software that address multiple concerns at once. For researchers interested in bugs, tangled commits mean that they actually study not only bugs, but also other concerns irrelevant for the study of bugs.
Objective
We want to improve our understanding of the prevalence of tangling and the types of changes that are tangled within bug fixing commits.
Methods
We use a crowd sourcing approach for manual labeling to validate which changes contribute to bug fixes for each line in bug fixing commits. Each line is labeled by four participants. If at least three participants agree on the same label, we have consensus.
Results
We estimate that between 17% and 32% of all changes in bug fixing commits modify the source code to fix the underlying problem. However, when we only consider changes to the production code files this ratio increases to 66% to 87%. We find that about 11% of lines are hard to label leading to active disagreements between participants. Due to confirmed tangling and the uncertainty in our data, we estimate that 3% to 47% of data is noisy without manual untangling, depending on the use case.
Conclusion
Tangled commits have a high prevalence in bug fixes and can lead to a large amount of noise in the data. Prior research indicates that this noise may alter results. As researchers, we should be skeptics and assume that unvalidated data is likely very noisy, until proven otherwise.
To tackle the cloud-provider lock-in, the Open Grid Forum is developing the Open Cloud Computing Interface (OCCI), a standardized interface for managing any kind of cloud resources. Besides the OCCI Core model, which defines the basic modeling elements for cloud resources, further standardised extensions exist that reflect the requirements of different cloud service levels, such as infrastructure and platform elements. However, so far the OCCI platform extension is very coarse-grained and lacks supporting use cases and implementations. Especially, it does not define how the components of the application itself can be managed. In this paper, we discuss the features of MoDMaCAO, a model-driven framework that extends the OCCI platform extension. The users of the framework are able to design and validate cloud application topologies and subsequently deploy them on OCCI compliant clouds by using configuration management tools.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.