Coding with AADL
Software Engineering Institute
Given that up to 70 percent of system errors are introduced during the design phase, stakeholders need a modeling language that will ensure both requirements enforcement during the development process and the correct implementation of these requirements. Previous work demonstrates that using the Architecture Analysis and Design Language (AADL) early in the development process not only helps detect design errors before implementation but also supports implementation efforts and produces high-quality code. Previous research has demonstrated how AADL can identify potential design errors and avoid propagating them through the development process. Verified specifications, however, are still implemented manually. This manual process is labor intensive and error prone, and it introduces errors that might break previously verified assumptions and requirements. For these reasons, code production should be automated to preserve system specifications throughout the development process. In this podcast, Julien Delange summarizes different perspectives on research related to code generation from software architecture models.
About the Speaker
Suzanne Miller is a principal researcher at the Software Engineering Institute of Carnegie Mellon University in the Continuous Deployment of Capability Directorate. Miller actively supports multiple large DoD cyber-physical programs in their Agile/Lean adoption efforts, in addition to designing and teaching Agile courses and workshops tuned to government settings. Miller …Read more