Relational and information-based descriptions of reality have been explored in many domains, from relational readings of quantum mechanics to proposals that physical phenomena arise from the organization of information. This paper approaches the same questions from an unexpected side: sustained interaction with a large language model. In that interaction, a distinctive dynamic is visible in sequence. A space of weighted possibilities, shaped by context, realizes one continuation; the realization immediately feeds back and reshapes the conditions for the next. In other domains, the space of possibilities behind a single event can only be reconstructed across many runs but in a language model, it is visible at every step. And because nothing runs in the model between two realizations, each step can also be replayed. The loop can be abstracted into a substrate-neutral description of context fields meeting in a shared configuration. The paper lays four systems side by side under the same steps: a human, a language model, a detector, a particle, each described in the vocabulary of its own domain. Based on this, it proposes an examination: a conditioning signature obtained in controlled settings of a large language model and compared with how recorded distributions in physical domains respond to their own experimental knobs, with the criteria for failure stated in advance. The framework is then placed among its relational and informational neighbours: it shares their direction and differs in what it needs to assume and in the instrument it offers. The shift is small but consequential. Wherever a description calls an event “spontaneous”, this reading asks whether a participant has simply dropped out of the description. It also sets limits on its own use: the analogy cannot decide whether the underlying mechanisms are the same. Those claims have to be tested within the domains concerned.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
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
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new angle and explores waste in the Kanban-driven software development project context. A preliminary research model is presented for helping the consequent replication of the study. The results from the empirical analysis suggest Kanban can be an effective method in visualizing and organizing the current work, but does not prevent waste from creeping in, although the overall project outcome may be successful.
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
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