"This dataset contains synthetic simulation outputs supporting the manuscript \u201cFeedback-Controlled Intervention in a Model of Information Cocoons: Concentration, Affinity, and Diffusion Trade-offs\u201d by Yun Tao and Zongwei Luo. It covers two targeted studies: an original-model intervention comparison with 80 recipient runs, and a calibrated utility-frontier extension with 214 recipient runs, including 104 calibration runs and 110 held-out evaluation runs. Each run uses 500 synthetic agents, 18 topics and 2,000 update steps. The archive includes per-run CSV summaries, JSON trajectories, model parameters, calibration selections, four independent donor action arrays, a data dictionary and SHA-256 integrity records. Recorded diagnostics include preference concentration, expected and sampled affinity, distinct-topic utility, unique-topic coverage, modeled attention and diffusion dose. These are model-level diagnostics rather than empirical measurements of human wellbeing or item-ranking performance. The release supports inspection of feedback, static and open-loop intervention trade-offs; it does not establish general superiority of adaptive control. It excludes third-party MovieLens and Last.fm user records and is not a standalone simulator distribution or a complete archive of every historical experiment in the manuscript."
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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