Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Software interrelationships have an impact on the quality and evolution of software projects and are therefore important to development and maintenance. Package management and build systems result in software ecosystems that usually are syntactically and semantically incompatible with each other, although the described software can overlap. There is currently no general way for querying software interrelationships across these different ecosystems. ,  present our approach to combine and consequently query information about software interrelationships across different ecosystems.  propose an ontology for the semantic modeling of the relationships as linked data. Furthermore,  introduce a temporal storage and query model to handle inconsistencies beten different data sources. By providing a scalable and extensible architecture to retrieve and process data from multiple repositories,  establish a foundation for ongoing research activities.  evaluated our approach by integrating the data of several ecosystems and demonstrated its usefulness by creating tools for vulnerability notification and license violation detection.
['Nikola Ilo', 'Johann Grabner', 'Thomas Artner', 'Mario Bernhart', 'Thomas Grechenig']
I am writing a research paper on a idea Combining software interrelationship data across heterogeneous software repositories
[{"from": "human", "value": "I am writing a research paper on a idea Combining software interrelationship data across heterogeneous software repositories"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Software interrelationships have an impact on the quality and evolution of software projects and are therefore important to development and maintenance. Package management and build systems result in software ecosystems that usually are syntactically and semantically incompatible with each other, although the described software can overlap. There is currently no general way for querying software interrelationships across these different ecosystems. ,  present our approach to combine and consequently query information about software interrelationships across different ecosystems.  propose an ontology for the semantic modeling of the relationships as linked data. Furthermore,  introduce a temporal storage and query model to handle inconsistencies beten different data sources. By providing a scalable and extensible architecture to retrieve and process data from multiple repositories,  establish a foundation for ongoing research activities.  evaluated our approach by integrating the data of several ecosystems and demonstrated its usefulness by creating tools for vulnerability notification and license violation detection."}]