40 docs tagged with "SDLC"

Enterprise Architect and Kernaro Beta setup: prerequisites, installation steps, and initial configuration checklist.

Configuration overview for the Kernaro AI test environment — Kernaro add-in setup and Claude API platform preparation.

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Introduction to AI-supported Software Development Lifecycle in the context of KERNARO and the CAA approach.

A framing perspective on artificial intelligence in enterprise architecture — is it a risk or a catalyst for better SDLC practices?

Kernaro Chat overview – natural language queries against the EA model: model exploration, document generation, TOC, and functional specification.

Kernaro Chat – natural language model exploration and token cost analysis for an 800 MB EA repository.

Kernaro Chat – Word document generation from an EA model, including context injection behaviour and stop generation.

Kernaro Chat – generating a Table of Contents from an EA model up to L2 package level.

Kernaro Chat – functional specification of a Coffee Machine system: Use Cases, Scenarios tab vs Operations finding, and prompt recommendations.

Event-driven AI agents in Kernaro: detecting missing documentation, applying QA tags, and bulk operations triggered from EA diagram events.

Kernaro AI Agent: detect elements with empty Notes field and apply QA tagged values via EA_OnPostCloseDiagram trigger.

Kernaro AI Agent: validate REF linkage in Instance diagrams using APV metamodel integrity rules (MASTER → REF → Instance).

Testing whether Kernaro can invoke actual Python code (execute_python) vs. built-in EA tools. One use case, three attempts, two side effects.

Overview of Claude Console monitoring dashboards used during the Kernaro Beta test: token usage, cost tracking, and team collaboration views.

Step-by-step screenshots of Claude platform configuration required before starting the Kernaro Beta test.

Testing Kernaro's Script Agent for JavaScript code generation inside Enterprise Architect Script Manager — a practical scenario with empty Notes detection.

Key findings from the Kernaro Beta test: hallucination patterns, read-only tool constraints, and practical recommendations for production use.

Context for Kernaro's position within the broader Sparx Systems AI ecosystem, including EA Native AI Assist and third-party integrations.

Overall assessment of Kernaro Beta: competitive positioning, governance insights, and a transparent note on how this test report was produced.

Context Aware Approach (CAA) applied to Solution Development Life Cycle — why context must be understood before any tool or technology decision is made.

Context Aware Approach (CAA) aplikovaný na Solution Development Life Cycle — prečo kontext musí byť pochopený skôr, než sa urobí akékoľvek technologické rozhodnutie.

Interactive site map of all K000104 articles with clickable navigation.

Hands-on evaluation of Kernaro AI Beta – an Enterprise Architect add-in that integrates AI into SDLC modeling workflows. Covers configuration, chat, agent automation, JavaScript generation, and test findings.

Single Source of Truth a Trusted Single Source of Truth — prečo konzistentné, overené dáta sú predpokladom úspešných riešení, efektívnej AI a zdieľaného porozumenia naprieč fázami SDLC.

Single Source of Truth and Trusted Single Source of Truth — why consistent, verified data is the prerequisite for successful solutions, effective AI, and shared understanding across SDLC phases.

APV emerged from production lines, not academic research. How a framework built on Technical Cybernetics, Six Sigma, and manufacturing quality principles solves the vocabulary gap in IT and SDLC.

APV nevznikol z akademického výskumu. Vznikol na výrobných linkách. Ako rámec postavený na Technickej kybernetike, Six Sigma a výrobnej kvalite rieši medzeru v slovníku IT a SDLC.

SFIA is not yet an ISO standard — but it is the closest thing the IT industry has to a shared vocabulary for skills. A practical guide to using SFIA in SDLC teams: what it is, where it came from, and how to apply it without a full programme.

SFIA ešte nie je ISO štandardom — ale je to najbližšie, čo IT priemysel má k spoločnému slovníku pre zručnosti. Praktický návod na používanie SFIA v SDLC tímoch.

Prečo každá veda, ktorá sa chce nazývať vedou, buduje pojmový slovník — a prečo informatika stále dobieha. Praktické rámce: APV, SFIA, TBM a ich využitie naprieč SDLC.

When will IT finally use the full power of taxonomy and ontology? ITSM, Cybersecurity, TBM — taxonomy already exists in IT. So why does every project still start a new vocabulary from scratch? Practical frameworks: APV, SFIA, TBM, and how to finally put them to work across SDLC.

TBM Taxonomy connects technology spending to business value. How TBM Council formalised the vocabulary of IT costs — and how platforms like Yärken implement it at scale.

TBM Taxonómia prepája IT výdavky s obchodnou hodnotou. Ako TBM Council formalizoval slovník IT nákladov — a ako platformy ako Yärken ho implementujú vo veľkom.

QRM is a company-wide strategy for reducing lead times — invented by Rajan Suri in the 1990s. Originally designed for manufacturing, QRM explicitly extends to office and knowledge work processes, making it directly relevant to SDLC and IT delivery.

QRM je celopodniková stratégia pre skracovanie lead time — vynájdená Rajanom Surim v 90. rokoch. Pôvodne navrhnutá pre výrobu, QRM explicitne rozširuje svoje princípy na kancelárske a znalostné procesy, čo ju robí priamo relevantnou pre SDLC a IT dodávku.

Trojvrstvový model správy zručností v IT: ESCO ako ontologický základ, SFIA ako operačný rámec a CAA ako aplikačná vrstva. Prečo kvalita taxonómie priamo určuje kvalitu výstupov AI.

A three-layer model for skills governance in IT: ESCO as the ontological foundation, SFIA as the operational framework, and CAA as the application layer. Why taxonomy quality directly determines AI output quality.

Git workflow for Enterprise Architect models via LemonTree by LieberLieber — branch, merge, audit trail, and the corporate-latency problem it eliminates.

Outline of the Kernaro Beta testing approach: scenarios from the EA model side and the Claude Console side.