Towards a Marketplace of Open Source Software Data

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Development, distribution and use of open source software comprise a market of data (source code, bug reports, documentation, number of downloads, etc.) from projects, developers and users. This large amount of data makes it difficult for people involved to make sense of implicit links between software projects, e.g., dependencies, patterns, licenses. This context raises the question of what techniques and mechanisms can be used to help users and developers to link related pieces of information across software projects. In this paper, we propose a framework for a marketplace enhanced using linked open data (LOD) technology for linking software artifacts within projects as well as across software projects. The marketplace provides the infrastructure for collecting and aggregating software engineering data as well as developing services for mining, statistics, analytics and visualization of software data. Based on cross-linking software artifacts and projects, the marketplace enables developers and users to understand the individual value of components, their relationship to bigger software systems. Improved understanding creates new business opportunities for software companies: users will be better able to analyze and compare projects, developers can increase the visibility of their products, hosts may offer plug-ins and services over the data to paying customers.

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Towards a Marketplace of Open Source Software Data

  1. 1. Laboratory of AdvancedInformation SystemsFernando Silva Parreiras
  2. 2. • 1 PhD Student (new!)• ~8 MSc Students• 3 Bachelor Students• 1 Administrative Staff
  3. 3. Pasteurs Quadrant
  4. 4. Towards a Marketplace of OpenSource Software DataFernando Silva Parreiras
  5. 5. Current Open Source Software Market Poor Search! Low Visibility!
  6. 6. Future Market Architecture?
  7. 7. Architecture Visualization? ManipulateApplications Query … Expressiveness? MappingCommon Vocabulary Extraction Generic Extractors? Software Artifacts in Various Formats
  8. 8. Extraction
  9. 9. Introduction to MetamodelingLanguage DesignerLanguage User
  10. 10. Example: Process Modeling Ecore Metametamodel conformsTo Ecore-based MetamodelLanguage Designer conformsTo ModelLanguage User
  11. 11. Generic Extrator: OWLizer
  12. 12. OWLizer ExampleNon-structured Information?
  13. 13. Mapping and Inferencing
  14. 14. Expressiveness of Description Logics● Description Logics (DLs) are logics designed to represent and reason on structured knowledge – The domain of interest is structured into (TBox): – concepts, which correspond to classes, and denote sets of individuals – roles, which correspond to associations, and denote binary relations on individuals● The knowledge is asserted through so-called assertions (ABox)● They provide formal semantics● DLs provide the foundations for standard ontology languages, like OWL2
  15. 15. Applications● Consistency of the diagram: – Can the classes be populated?● Classification to identify compatible refinements.● Equivalence among classes to discover redundancy.
  16. 16. EvoOnt
  17. 17. Ontology Matching● Study of techniques for reconciling multiple resources on the web. Two steps: – match and determine alignments – merging and transforming. Performance!● Matchings use multiple criteria: name of entities, structure (relations between entities, cardinality), background knowledge, e.g., existing ontologies or wordnet. Techniques can be string-based or rely on linguistic resources.● More info on http://ontologymatching.org/
  18. 18. Querying
  19. 19. Semantic Project Explorer● Integrated with Eclipse● Sends Artifacts to the Cloud● Query Answering● Plug-in of the TwoUse Toolkit
  20. 20. Semantically query UML models
  21. 21. SPE Component Diagram
  22. 22. SPE Context Menu
  23. 23. Querying Answering Vizualization!
  24. 24. Marketplace for Financial Information Generalization?
  25. 25. ConclusionsWe are setting up an Infrastructure basedon generic extractors and expressifullcommon vocabularies for datamarketplaces.
  26. 26. Books
  27. 27. Papers
  28. 28. Tack!fumec.br/lais

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