Detect requirement conflicts at an early stage thanks to AI
A lot of horsepower, but still economical: Unfortunately, conflicting requirements in product development are not always as clear-cut as in our car example. What is clear, however, is that in the product development process, a large number of requirements are placed on a product that can also conflict with each other. Artificial Intelligence can help to detect these not always obvious requirement conflicts at an early stage.
Natural Language Processing or Text Mining
The first step is to interpret the data. This is done with the help of Natural Language Processing (NLP) or Text Mining. With Natural Language Processing, natural language can be captured and processed in a computer-based way thanks to rules and algorithms. The semantics and grammatical structures of the language are examined. In contrast, text mining does not take semantic features into account. For this purpose, the method is particularly useful in the analysis of unstructured text data. Through automatic analysis, for example, core statements can be extracted from texts without having to read the texts themselves.
The Information Retrieval method also belongs to the field of text mining. With the help of information retrieval, requirements can be analyzed for existing conflict. Information retrieval involves evaluating unstructured data, as search engines do with the Internet, for example.
The advantage for companies
If conflicting requirements are identified early in the development process, the product design can already be optimally adapted to these requirements. Time-consuming and costly changes to the product are thus prevented. The effectiveness and efficiency of product development is increased. This is achieved by carrying out processes as planned and reducing iteration loops due to requirement conflicts. In addition, early detection of requirement conflicts can prevent potential errors in the final product. The starting point for the application described here is well-described requirements. This is the only way that methods such as Natural Language Processing or Text Mining can detect conflicts.