This dataset contains the operational data generated by a cloud-based smart-irrigation system that ran three irrigation decision strategies in parallel for lettuce at a university experimental farm in Dois Vizinhos, Paraná, Brazil:a Reinforcement Learning controller (PPO);a Rule-Based System (RBS);a Hybrid RL+RBS controller.The data cover the period from 23 December 2025 to 29 April 2026. This period includes the four 30-day cultivation cycles evaluated in the associated article:Cycle 1: 23/12/2025–21/01/2026Cycle 2: 22/01/2026–20/02/2026Cycle 3: 01/03/2026–30/03/2026Cycle 4: 31/03/2026–29/04/2026The system ran on Amazon Web Services (AWS IoT Core, MQTT, Amazon S3). Every message exchanged between the meteorological services, the decision modules and the field control units was stored as a JSON file in Amazon S3. This archive is a direct export of those records. The original folder structure and file names were kept. Most records are organized by date (YYYY/MM/DD).
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
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
