Testing Leadership for Project and Programme Managers is a practitioner playbook for project and programme leaders who commission, resource, govern and make decisions using software-testing and assurance evidence. Its governing proposition is that testing may be performed by specialists, but the conditions in which testing succeeds are created by project leadership. The playbook therefore treats testing not merely as a delivery phase or defect-finding activity, but as a lifecycle source of decision evidence. Across twenty chapters, the book addresses the decisions that shape testing from project initiation through live operation: understanding testing needs; defining proportionate scope and assurance; appointing capability; estimating and funding testing; providing environments, data, tools and access; securing business participation; governing strategy, readiness, defects and suppliers; evaluating evidence; making release decisions; validating live service; learning from incidents; and sustaining quality beyond project closure. The publication introduces an integrated CEREARK management architecture built around Shift Left, Lead Through, Stay Right and Build Trust. It includes the Five Testing Duties — Understand, Provide, Enable, Challenge and Decide — together with connected decision models, evidence questions and 79 ready-to-use field tools. A fictional Meridian Citizen Services Programme provides a cumulative case through which the management consequences of testing decisions are illustrated across the delivery lifecycle. The publication synthesises established software-testing, project-delivery and assurance practice and draws on the standards and authoritative sources identified in its reference foundations. CEREARK claims authorship and originality in the particular architecture, integration, configuration, expression and independently developed tools presented in this edition. No claim is made to ownership of established testing concepts, standards, generic terms, techniques or management practices. This is the First Edition — ANST Conference Launch Reader Edition 2026. It is prepared for launch and digital distribution at the ANST Conference. ANST provides the conference platform and is not the owner or publisher of the work. Publication ID: CEREARK-PUB-2026-001Publisher: CEREARKDOI: 10.5281/zenodo.22693064
Onosoji O. Ononuga· Zenodo (CERN European Organi...· 0 citations
Generative artificial intelligence is commonly framed as a challenge to employment, authorship, academic integrity, professional competence and human intellectual distinctiveness. This paper argues that these apparently separate disputes share a deeper institutional problem. For much of modern educational and professional life, personal execution of an intellectual task provided a useful, though imperfect, signal of the capability underlying it. Generative AI weakens that inference because increasingly sophisticated cognitive execution can now be obtained externally. This paper describes institutional reliance on production as evidence of capability as execution-proxy dependence and develops a related empirical hypothesis, execution-command dissociation: as externally available AI performs more cognitive execution, the predictive relationship between the quality of an intellectual artefact and the producer's demonstrated command of that artefact may weaken. The paper develops substantive intellectual command as a more direct object of evaluation, distinguishes capability amplification from competence amplification, and examines implications for assessment, authorship, disclosure, professional competence and human agency. Its central proposition is that AI is weakening the informational value of execution as evidence of human capability. The resulting empirical claim is deliberately falsifiable: if artefact quality remains equally informative about independently demonstrated intellectual command under AI-assisted and unaided production, the theory must be revised.
Onosoji O. Ononuga· Zenodo (CERN European Organi...· 0 citations
Generative artificial intelligence is commonly framed as a challenge to employment, authorship, academic integrity, professional competence and human intellectual distinctiveness. This paper argues that these apparently separate disputes share a deeper institutional problem. For much of modern educational and professional life, personal execution of an intellectual task provided a useful, though imperfect, signal of the capability underlying it. Generative AI weakens that inference because increasingly sophisticated cognitive execution can now be obtained externally. This paper describes institutional reliance on production as evidence of capability as execution-proxy dependence and develops a related empirical hypothesis, execution-command dissociation: as externally available AI performs more cognitive execution, the predictive relationship between the quality of an intellectual artefact and the producer's demonstrated command of that artefact may weaken. The paper develops substantive intellectual command as a more direct object of evaluation, distinguishes capability amplification from competence amplification, and examines implications for assessment, authorship, disclosure, professional competence and human agency. Its central proposition is that AI is weakening the informational value of execution as evidence of human capability. The resulting empirical claim is deliberately falsifiable: if artefact quality remains equally informative about independently demonstrated intellectual command under AI-assisted and unaided production, the theory must be revised.
Onosoji O. Ononuga· Zenodo (CERN European Organi...· 0 citations
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