According to some surveys, the cost of handling duplicated data, only in the USA and only in one year, is estimated at 600 billion dollars! [Source] How much of this amount corresponds to your duplicated requirements?
As you have already noticed, every requirement that you manage costs money. It’s not the cost of storage, which is almost negligible. Still, it’s mainly the sequence of activities all along the lifecycle of the requirement: the time to transcribe it into a Requirements Management System, the time to trace this requirement to other artifacts, the time to verify the requirement (you know that you can save significant amounts of money using our tool RQA – QUALITY Studio), to validate it, the time to verify the System-of-Interest against this requirement… All this time counts, and all this time costs money!
That is why, requirements quality guidelines like the INCOSE Guide to Writing Requirements include one rule to cope with this issue (R30 – Unique Expression). Not only to help you save money but also because when information is duplicated, the chances for lack of consistency also arise.
And now the question is, can modern semantic technology help detect those duplicates? Of course, it can!
Exact duplicates are relatively easy to detect, but in most cases, we should also be dealing with non-exact duplicates. Here is where modern semantic technology can help us detect duplicates among large sequences of requirements, and in real-time.
In this webinar, we will discover a technology, that can be connected to most of the common requirements management tools (IBM DOORS, PTC Codebeamer, Siemens Polarion… and also PDF, MS Word, and Excel) to offer the detection of duplicates in two different moments in time. One in real-time, on top of our famous tools RAT – AUTHORING Tool), and another one as a more sophisticated tool that allows finding duplicates within a document, and also comparing two different documents to highlight a list of those couples with the most semantic proximity (this time, on top of our tool SES ENGINEERING Studio).
Furthermore, when it comes to semantics, the more domain-specific information available during the “coupling” process the better; this tool can also seamlessly connect to your conceptual or physical models to retrieve valuable information to empower this detection of duplicates.
Tuesday, December 12, 2023, 5:00 PM CEST (Madrid)/ 8:00 AM PDT (Los Angeles)/11:00 AM EDT (Detroit)
Thursday, December 14, 2023, 9:00 AM CEST (Madrid)/ 5:00 PM JST (Tokyo)/ 7:00 PM AEDT (Sydney)