Statistical certification of software systems

Abstract Common software release procedures based on statistical techniques try to optimise the trade-off between further testing costs and costs due to remaining errors. We propose new software release procedures where the aim is to certify that the software does not contain errors. The underlying model is a new discrete-time model similar to the JelinskiMoranda model. The decisions are based on a mix of classical and Bayesian approaches to sequential testing and do not require any assumption on the initial number of errors

Statistical Certification of Software Systems

Common software release procedures based on statistical techniques try to optimise the trade-off between further testing costs and costs due to remaining errors. We propose new software release procedures where the aim is to certify that the software does not contain errors. The underlying model is a new discrete-time model similar to the Jelinski-Moranda model. The decisions are based on a mix of classical and Bayesian approaches to sequential testing and do not require any assumption on the initial number of errors

How Distributed Ledger Technology Can Influence Trust Improving Data Sharing in Collaborative Networks

Collaborative networked organizations (CNOs) strive to achieve a common goal. Collaboration within CNOs relies on information technology (IT) and trust. Trust appears in different forms, such as relational, contractual, and competence trust that strengthens the relationships. In addition to trust, da-ta sharing is fundamental to CNOs, as it can improve business-to-business transactions. In this paper, we show how distributed ledger technology (DLT) can increase trust and improve data sharing. We created a decision model, using a design science research (DSR) approach, that provides a mapping between DLT-characteristics and trust antecedents in order to se-lect appropriate DLT. We use an analytic hierarchy process (AHP) approach to establish the trust antecedent ranking within the CNO for European law enforcement (ELE), Europol and its operational partners. Our research pro-vides an evaluated model to determine the DLT-characteristics that can increase trust and data sharing in a CNO