The growing adoption of AI and data analytics in various sectors has resulted in digital preservation emerging as a cross-sectoral problem that affects everyone from data-driven enterprises to memory institutions alike. As all contemporary storage media suffer from fundamental density and durability limitations, researchers have started investigating new media that can offer high-density, longterm preservation of digital data. In the European Union-funded Future and Emerging Technologies project OligoArchive, we are exploring one such media, namely, synthetic Deoxyribo Nucleic Acid (DNA). In this paper, we provide an overview of the ongoing collaboration between project OligoArchive and the Danish National Archive in preserving culturally important digital data with synthetic DNA.

Clone-and-own is a common reuse practice that is widely adopted for evolving a family of software systems. However, this practice loses its effectiveness if not supported with valuable indicators that guide the derivation of new products. In this paper, we propose an approach to support the derivation of new product variants based on clone-and-own, by providing the possible scenarios in terms of operations to perform to accomplish the derivation. We generate a constraints system prior to a product derivation, to facilitate the software engineer selection of the suitable scenario and operations based on his preferences. In addition, we propose a cost estimation for each operation and respectively for each scenario, thus, a software engineer can rely on it as an additional parameter to achieve the derivation. The proposed scenarios and cost estimation are based on indicators retrieved after an automated identification of the mappings between the features implemented by the family of software products and the assets in which they are implemented. We preliminarily validate our approach on a case study where results show that the provided support can considerably reduce the amount of time and efforts that can be required to achieve a product derivation. Index Terms-Clone-and-own, product derivation, software reuse.

Clone-and-own is a simple and intuitive practice adopted to construct new product variants based on existing ones. However, when the developed family of products becomes rich, maintaining shared assets and managing variability between the clones become tedious tasks. Therefore, migrating the family of products into a software product line becomes essential. Despite that, software engineers remain interested in constructing new product variants that are not provided by the software product line. In this short paper, we briefly present our approach to guide software engineers in deriving new products from a software product line based on clone-and-own. This approach consists of proposing the possible configuration scenarios by means of operations to perform at asset level, in order to derive a new product variant.