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PL-Science: A Scientific Software Product Line.

, , , , and . ICCS, volume 18 of Procedia Computer Science, page 759-768. Elsevier, (2013)

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Design, Application and Evaluation of PROV-SwProcess: A PROV extension Data Model for Software Development Processes., , , , , , and . J. Web Semant., (2021)A Scientific Software Product Line for the Bioinformatics domain., , , and . Journal of Biomedical Informatics, (2015)Using Ontology and Data Provenance to Improve Software Processes., , , , , , and . ONTOBRAS, volume 1442 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)PL-Science: A Scientific Software Product Line., , , , and . ICCS, volume 18 of Procedia Computer Science, page 759-768. Elsevier, (2013)Software Process Performance Improvement Using Data Provenance and Ontology., , and . BPM (Forum), volume 260 of Lecture Notes in Business Information Processing, page 55-71. Springer, (2016)Using data provenance to improve software process enactment, monitoring and analysis.. ICSE (Companion Volume), page 875-878. ACM, (2016)Connecting Feature Models and Ontologies in Software Product Lines., , , and . ICEIS (2), page 160-163. SciTePress, (2012)Software Processes Analysis with Provenance., , , , , and . PROFES, volume 11271 of Lecture Notes in Computer Science, page 106-122. Springer, (2018)