Architectures and Middleware @IAAS

Dataverse for all research projects related to software architecture or cloud computing of the Institute of Architecture of Application Systems (IAAS)

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1 to 10 of 2,331 Results

Replication Data for: Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation Dec 9, 2024 Pesl, Robin D.; Mathew, Jerin George; Mecella, Massimo; Aiello, Marco, 2024, "Replication Data for: Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation", https://doi.org/10.18419/DARUS-4605, DaRUS, V1 Integrating multiple (sub-)systems is essential to create advanced Information Systems (ISs). Difficulties mainly arise when integrating dynamic environments across the IS lifecycle, e.g., services not yet existent at design time. A traditional approach is a registry that provides the API documentation of the systems’ endpoints. Large Language Mode...
code.zip Dec 9, 2024 - Replication Data for: Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation ZIP Archive - 253.7 KB - MD5: 12d770635f5681c5fae70fe48159d570
results.zip Dec 9, 2024 - Replication Data for: Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation ZIP Archive - 210.5 MB - MD5: 427613443f5e68f44d561e7c1d7b64fe
Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing Oct 7, 2024 Pesl, Robin D.; Mombrey, Carolin; Klein, Kevin; Georgievski, Ilche; Becker, Steffen; Herzwurm, Georg; Aiello, Marco, 2024, "Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing", https://doi.org/10.18419/DARUS-4497, DaRUS, V1 A classic, central Service-Oriented Computing (SOC) challenge is the service composition problem. It concerns solving a user-defined task by selecting a suitable set of services, possibly found at runtime, determining an invocation order, and handling request and response parameters. The solutions proposed in the past two decades mostly resort to a...
chat.py Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing Python Source Code - 857 B - MD5: 59cd746b143ee1293e59219c31945cde
code_extraction.py Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing Python Source Code - 251 B - MD5: 0f4fbdf56add8c4f75dd3f0bc35a050e
compare.py Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing Python Source Code - 3.1 KB - MD5: 350886b84b6feff7ec69dba8952e39f3
comparison.json Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing JSON - 4.0 MB - MD5: c921aaef4f00080518c973d79821b578
comparison.json Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing JSON - 4.0 MB - MD5: 44e13e98ecbf1dad4fc334b3a3590960
comparison.json Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing JSON - 4.0 MB - MD5: 8d4a9ee69c425a907705577eb7b25cff

Replication Data for: Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation

Dec 9, 2024

Pesl, Robin D.; Mathew, Jerin George; Mecella, Massimo; Aiello, Marco, 2024, "Replication Data for: Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation", https://doi.org/10.18419/DARUS-4605, DaRUS, V1

Integrating multiple (sub-)systems is essential to create advanced Information Systems (ISs). Difficulties mainly arise when integrating dynamic environments across the IS lifecycle, e.g., services not yet existent at design time. A traditional approach is a registry that provides the API documentation of the systems’ endpoints. Large Language Mode...

code.zip

Dec 9, 2024 - Replication Data for: Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation

ZIP Archive - 253.7 KB -

results.zip

Dec 9, 2024 - Replication Data for: Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation

ZIP Archive - 210.5 MB -

Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing

Oct 7, 2024

Pesl, Robin D.; Mombrey, Carolin; Klein, Kevin; Georgievski, Ilche; Becker, Steffen; Herzwurm, Georg; Aiello, Marco, 2024, "Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing", https://doi.org/10.18419/DARUS-4497, DaRUS, V1

A classic, central Service-Oriented Computing (SOC) challenge is the service composition problem. It concerns solving a user-defined task by selecting a suitable set of services, possibly found at runtime, determining an invocation order, and handling request and response parameters. The solutions proposed in the past two decades mostly resort to a...

chat.py

Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing

Python Source Code - 857 B -

code_extraction.py

Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing

Python Source Code - 251 B -

compare.py

Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing

Python Source Code - 3.1 KB -

comparison.json

Oct 7, 2024 - Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing

JSON - 4.0 MB -