We’re back with the seminars, and this week we bring you a seminar led by our colleague and professor Francisco José Dominguez. As always, we’ll be gathering this Thursday, the 16th 10:30, in room A2.11 open to everyone and will last 30-45 minutes as usual. Below, we provide an introduction to this week’s seminar:
When facing a software project, one of the most relevant challenges is the uncertainty that the vast majority of these projects entail, especially concerning business (what should we build) and technology (how should we build it). The challenge escalates when dealing with an R&D project where the goal is to obtain IT innovation that allows gaining a competitive advantage. Software projects (or operations) can be of different natures, but we don’t always consider what the most suitable strategy (DevOps, Lean Inception, Personas, XP, Scrum, OKR, etc.) or combination of strategies is to carry them out efficiently and effectively. In recent years, new AI-based technologies have emerged that allow building software with little technological knowledge by generating code automatically. Gartner estimates that by 2028, 78% of enterprise software engineers will use AI coding assistants, up from less than 10% in early 2023. If the ability to build and exploit software products increases, the most competitive companies will be those with a greater capacity to explore or discover new innovations in the form of products or services. By then, it will be necessary to understand what “innovating” entails and what the most efficient and effective strategy is to achieve it.