A year ago, I made a few predictions for the coming year. There is no doubt that these topics have dominated the last twelve months. What else happened in 2019 and why these topics will be relevant for years to come is discussed below.<\/p>\n\n\n\n\n\n\n\n
The Trends from 2019<\/a> have been fulfilled: Complexity and change were hotly debated topics. However, not always in the way I described last year.<\/p>\n\n\n\n Last year, I saw \"Predictive Product Development\" as one of the approaches that could get to grips with this complexity. Jama tried its hand in this field with the product \"Jama Analyze\", which is no longer on the market in this form. <\/p>\n\n\n\n However, this does not mean that analysis is not useful, on the contrary: more and more tools for Business Intelligence<\/a> are roaming the market, and Process mining<\/a> seems to me to be a very exciting approach for converting the results of the analysis into concrete added value. However, both approaches are (still) rarely used in product development. This will certainly change in the medium term.<\/p>\n\n\n\n Is testing the solution to increasing complexity? In the medium term at best.<\/p><\/blockquote>\n\n\n\n However, when I look at the activities in systems engineering, the topic of testing suddenly seems to have gained considerable popularity. This is not surprising: it has long been proven that early testing (at all levels) drastically minimizes risks and increases quality. Nevertheless, testing is traditionally the first thing to be canceled when delivery deadlines are threatened. Word has finally gotten around that this does not work.<\/p>\n\n\n\n There is also a lot of catching up to do when it comes to testing. For example, tests are often defined far too late. Early testing is also a suitable means of increasing quality and finding errors - even if tests are not carried out until much later. Deficiencies in the requirements or missing requirements often become apparent just by defining tests.<\/p>\n\n\n\n Change is not only not complete, it is actually accelerating. And there really is no end in sight.<\/p>\n\n\n\nComplexity<\/h2>\n\n\n\n
Change<\/h2>\n\n\n\n