TFL Vsebine / Revija SIR*IUS

How does artificial intelligence impact the quality assurance of information systems?

Umetna inteligenca vse bolj prodira na področje razvoja informacijskih sistemov, pri čemer koraki in procesi zagotavljanja kakovosti niso izjema. Če nam umetna inteligenca po eni strani ponudi orodje in pristope, ki zagotavljanje kakovosti lahko pomembno izboljšajo, nas po drugi strani sooči z do zdaj nepoznanimi izzivi, katerih učinkovita obravnava je ključna za učinkovit razvoj sodobne programske opreme. V prispevku se dotaknemo dveh vidikov. Pri prvem obravnavamo umetno inteligenco kot podporo procesu zagotavljanja kakovosti ter predstavimo pristope in orodja, ki s tehnologijami umetne inteligence bistveno izboljšajo in poenostavijo korake zagotavljanja kakovosti. Pri drugem pa se ukvarjamo z izzivom, povezanim z zagotavljanjem kakovosti informacijskih rešitev s komponento umetne inteligence, ter izzivom, ključnim za zagotavljanje kakovostnih rešitev – kaj je pravilno in pričakovano.

Artificial intelligence is increasingly penetrating the field of information systems development, and quality assurance steps and processes are no exception. On the one hand, if AI offers us tools and approaches that can significantly improve quality assurance, on the other hand, it confronts us with hitherto unknown challenges that, if addressed effectively, are crucial for the efficient development of modern software. In the context of this paper, we will address two aspects. First, we will address artificial intelligence as a support to the quality assurance process, presenting approaches and tools that significantly improve and simplify the quality assurance steps with AI technologies. Second, we will address the challenge of quality assurance in IT solutions with an AI component, and the challenge that is critical to the quality assurance process: what is right and what is expected?