The Silent Budget Drain in Every Certification Project: Coverage Analysis Explained

Duration: 47:20

Code cov­er­age analy­sis is among the most dif­fi­cult and time-con­sum­ing cer­ti­fi­ca­tion require­ments, cre­at­ing sig­nif­i­cant sched­ule risk and cost expo­sure across safe­ty-crit­i­cal pro­grams gov­erned by stan­dards like DO-178C and ISO 26262.

Choos­ing the Wrong Tool Com­pounds the Prob­lem
Two approach­es exist - instru­men­ta­tion-based and hard­ware-trace-based cov­er­age - and each car­ries trade­offs that, if mis­ap­plied, cre­ate new prob­lems:

  • Instru­men­ta­tion is flex­i­ble but can degrade real-time per­for­mance, increase code size, and it requires addi­tion­al back-to-back test­ing to prove it has­n’t altered appli­ca­tion behav­ior.
  • Hard­ware trac­ing pre­serves tim­ing integri­ty and pro­duces clean audit evi­dence, but is high­ly depen­dent on tar­get device con­fig­u­ra­tion, may not be fea­si­ble on all plat­forms, and can­not achieve cer­tain types of cov­er­age (e.g., full MC/DC).

A Qual­i­fi­able Dual-Method Strat­e­gy is the Right Solu­tion
Com­bin­ing instru­men­ta­tion and hard­ware trac­ing using a qual­i­fi­ca­tion-ready tool­chain min­i­mizes the weak­ness­es of each stand­alone approach. Teams can apply the opti­mal tech­nique for each sit­u­a­tion - reduc­ing rework, pro­tect­ing sched­ule, and gen­er­at­ing defen­si­ble ver­i­fi­ca­tion evi­dence.

Built for Mod­ern Develop­ment
The com­bined approach is designed to work seam­less­ly across mod­ern develop­ment envi­ron­ments, enabling engi­neers and AI agents to exe­cute cov­er­age analy­sis and lever­age DevSec­Ops plat­forms - future-proof­ing work­flows as AI-assist­ed develop­ment becomes stan­dard prac­tice.

Mea­sur­able Out­comes
The prac­ti­cal result of this approach is a stream­lined path to com­pli­ance:

  • fewer sur­pris­es dur­ing cer­ti­fi­ca­tion
  • less rework and repeat­ed test­ing
  • clear and auditable evi­dence for reg­u­la­tors and cus­tomers

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