DECODER, a Smarter Environment for DevOps Teams , OW2online, June 2020
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The Decoder project, funded by the EU's Horizon 2020 program, aims to create a comprehensive platform for managing software development information and enhancing collaboration among stakeholders through a persistent knowledge monitor. This includes tools for knowledge extraction, automated documentation generation, and integrating various data sources and APIs. Future plans involve beta testing the platform and expanding its functionalities with additional tools and features.
DECODER, a Smarter Environment for DevOps Teams , OW2online, June 2020
- 1. DEveloper COmpanion for Documented and annotatEd code Reference The DECODER project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824231. DECODER, a Smarter Environment for DevOps Teams Virgile Prevosto CEA, List OW2Online'20 2020-06-17
- 2. DEveloper COmpanion for Documented and annotatEd code Reference Project at a glance https://www.decoder-project.eu/ Started in January 2019, for 36 months Provide a unified platform for managing all kinds of information on a given codebase. Target all stakeholders in software development life cycle: developers reviewers maintainers Use-cases Methodology UX Natural Language Processing Software Engineering Tools Coordination: 2020 DEveloper COmpanion for Documented and annotatEd code Reference 2020-06-17 2
- 3. Persistent Knowledge Monitor - PKM Database storing all relevant documents for a software project documentation (manuals, comments, bug tracker, ...) formal specifications source code analysis and testing results and evolutions (e.g. commits) Tools for feeding the database Tools for querying the database Common schema to ease interactions PKM Augmented IDE Documentation Generator UML Eclipse plugin NLP Knowledge Formalizer NLP Knowledge Extractor Specification Synthesis Frama-C OpenJML Testar Tool 2020 DEveloper COmpanion for Documented and annotatEd code Reference 2020-06-17 3
- 4. PKM Design and Implementation A central piece of the project Need to accommodate for many kinds of objects and many roles along SDLC Feedback from all partners (and beyond) Json as main interchange format Initial Json Schema ready Take advantage of existing proposals: SARIF (static analysis results) JCDB (compilation information) LSP (interactions with IDE) ... JS drivers Low level API High level API Tools Management GUI 2020 DEveloper COmpanion for Documented and annotatEd code Reference 2020-06-17 4
- 5. Informal documents and Formal Specification Natural Language Processing Knowledge extraction from informal documents and correspondance with relevant code pieces Knowledge extraction from code and semi-automated documentation generation 2020 DEveloper COmpanion for Documented and annotatEd code Reference 2020-06-17 5
- 6. Information Extraction Dataset Gathering Collect existing datasets (code and documents) outside Decoder DeepAPI training corpus for natural language/call sequences correspondance Also consider use cases (MyThaiStar and OpenCV) Initial experiments Code to NL: Features extraction and grouping tokens Application to the detection of identifier mismatch (either in code or in comments) NL to Code: Consider programming language as a foreign language Neural Machine Translation Compute semantic similarity between source code and informal description 2020 DEveloper COmpanion for Documented and annotatEd code Reference 2020-06-17 6
- 7. Abstract Semi-Formal Models At a glance Graphical language to describe effects of a function on the data structures involved Semi-automated generation of ASFM diagrams Animation of the diagrams (graphical debugging) Current status Initial version available Common part understood by all tools Extensible with tool-specific content Provide an abstraction layer on top of PKM’s lower-level documents Conversion tools to ASFM available as prototypes 2020 DEveloper COmpanion for Documented and annotatEd code Reference 2020-06-17 7
- 8. Next steps Beta-testing PKM Server Internally Add functionalities to the API Integrate more tools (NLP) Develop client Externally Interface with existing tools Use https://www.reachout-project.eu/? 2020 DEveloper COmpanion for Documented and annotatEd code Reference 2020-06-17 8
- 9. Thank You! The DECODER project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement number 824231. If you need further information, please contact the coordinator: TECHNIKON Forschungs- und Planungsgesellschaft mbH, Burgplatz 3a, 9500 Villach, AUSTRIA, Tel: +43 4242 233 55, Fax: +43 4242 233 55 77, E-Mail: coordination@DECODER.eu The information in this document is provided “as is”, and no guarantee or warranty is given that the information is fit for any particular purpose. The content of this document reflects only the author`s view – the European Commission is not responsible for any use that may be made of the information it contains. The users use the information at their sole risk and liability. Icons designed by ultimatearm, eucalyp and pixel-perfect from Flaticon � https://www.decoder-project.eu/ @ https://www.decoder-project.eu/view/Main/Contacts � decoderproject � Decoder H2020 � DecoderProject 2020 DEveloper COmpanion for Documented and annotatEd code Reference 2020-06-17 9