Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Safety Systems Engineering in Autonomy
Abstract
Kratki opisStručni usporedni rad analizira funkcionalni položaj PREDECISION™ arhitekture u odnosu na safety filtering, reinforcement-learning shielding i runtime assurance. Naglasak je na razlikovanju determinističke kvalifikacije već generiranog ili odabranog kandidata od mehanizama koji modificiraju, zamjenjuju ili preusmjeravaju akcije. PREDECISION™ prikazan je na razini javnog funkcionalnog ugovora, bez otkrivanja interne implementacije zaštićene jezgre. DatotekaPREDECISION_usporedna_analiza_HR_PUBLIC_SAFE_2026-09-19.pdf SHA-256aff3564e698b65c5cfaccb6fb380e06bb5d19c10e4490711168469de5499cba1 🇬🇧 English version TitlePREDECISION™ Beyond Safety Filtering: Distinguishing Deterministic Candidate Qualification from Safety Filters, Shielding, and Runtime Assurance Architectures DescriptionThis comparative technical paper examines the functional position of PREDECISION™ in relation to safety filtering, reinforcement-learning shielding, and runtime assurance architectures. It focuses on the distinction between deterministic qualification of an already generated or selected candidate and mechanisms that modify, replace, or redirect actions. PREDECISION™ is described strictly at the level of its public functional contract, without disclosing the internal implementation of the protected core. FilePREDECISION_comparative_analysis_EN_PUBLIC_SAFE_2026-09-19.pdf SHA-2561db9aec6bf8068bda4168d91b2568cd713313ac029b01a42754114bb113416df
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
This state-of-practice investigation was performed using a literature review followed by a multiple-case study approach and presents how inconsistency between managerial strategies and execution can lead to failure by means of a behavioral framework.
Carmine Giardino, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 175 citations· ⚡19
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
It is found that roles of MVPs in startups were not fully aware by entrepreneurs, and entrepreneurs should consider a systematic approach to fully explore the value of MVP, as a multiple facet product (MFP).
Anh Nguyen-Duc, P. Abrahamsson· International Conference on...· 93 citations· ⚡9
It is found that what perceived as biggest challenges by software startups do vary across different life cycle stages, even though its significance decreases when the learning focuses of the startups move from problem to solution and their products mature.
Xiaofeng Wang, Henry Edison, Sohaib Shahid Bajwa et al.· International Conference on...· 62 citations· ⚡6
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduOct 27, 2026
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.