The next significant milestone for the SDP Consortium is M19 on the 30th November. M19 is a lightweight review of the current state of the SDP software architecture and forms a checkpoint with the SKAO to present the current state of the architecture and progress towards Critical Design Review (CDR).
All relevant SDP SEI style views and other supporting documentation for functionally close blocks of architecture will be reviewed. The goal is to present the information in sufficient detail to facilitate immediate use by a knowledgeable audience member.
In preparation for this review, a Stakeholders Overview will take place. The required participants will include key members of the SDP architectural design team and knowledgeable stakeholders from SKAO. This review is to ensure that the high-level architecture documentation, for the purposes of providing an introductory, high-level explanation of the design, is sufficiently complete. In preparation for this overview, key members of the SDP Architecture design team recently selected a collection of views for review and this information has been distributed to the SKAO.
Comments and or suggestions made during the Stakeholder Overview and the official M19 review will guide further architectural priorities ahead of M20 (Element pre-CDR).
Members of the SKA Organisation and SDP Consortium are in Denver this week attending the annual SuperCompuing conference. This year the conference keynote "Life, the Universe and Computing: The Story of the SKA Telescope" was given by the SKA Director General Phil Diamond, and the SKA Regional Centre Project Scientist Rosie Bolton. The talk gives an excellent introduction to the background of radio astronomy and how and why the SKA project is moving forwards. You can replay it here.
Along with other SKA consortia, SDP is working towards implementing Software Engineering Institute (SEI) approaches to its software architecture documentation. This style is useful for promoting architecture decision processes based on concrete "quality attribute" scenarios. These methods will help us with addressing the many architectural trade-offs that SDP faces - balancing scientific accuracy with long-term modifiability and performance.