Automating Requirements Traceability: Two Decades of Learning from KDD

This paper summarizes our experience with using Knowledge Discovery in Data (KDD) methodology for automated requirements tracing, and discusses our insights.Comment: The work of the second author has been supported in part by NSF grants CCF-1511117 and CICI 1642134; 4 pages; in Proceedings of IEEE Requirements Engineering 201

EDI - XML Standards and Technologies in the Agri-Food Industry

Due to globalisation, the new technological developments and the complexity of food supply processes, the European food sector is increasingly becoming more complex. The consumers’ trust in food, triggered and affected by a number of food crises, is low. Today, consumers increasingly expect safe and high quality food and demand information about the origin of their food. Also, the economic health of the food industry can be greatly affected by food crises; therefore, efficient and effective mechanisms are required to assist the food industry in tracking and tracing products along the food chain. In this paper, we discuss the criteria for an efficient and effective traceability system from an IT perspective (mainly data exchange) and we identify key requirements for ICT enabled traceability

Biodiversity informatics: the challenge of linking data and the role of shared identifiers

A major challenge facing biodiversity informatics is integrating data stored in widely distributed databases. Initial efforts have relied on taxonomic names as the shared identifier linking records in different databases. However, taxonomic names have limitations as identifiers, being neither stable nor globally unique, and the pace of molecular taxonomic and phylogenetic research means that a lot of information in public sequence databases is not linked to formal taxonomic names. This review explores the use of other identifiers, such as specimen codes and GenBank accession numbers, to link otherwise disconnected facts in different databases. The structure of these links can also be exploited using the PageRank algorithm to rank the results of searches on biodiversity databases. The key to rich integration is a commitment to deploy and reuse globally unique, shared identifiers (such as DOIs and LSIDs), and the implementation of services that link those identifiers