Skip to content
#software testing Dataset Open access

Macao population fitness surveillance summary data and specification-curve analysis, 2005–2020

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)

Abstract

Version 2.0.0 expands the previously published 2,040-record dataset to 2,584 aggregate source records by adding 544 student records. It contains the expanded analysis supporting the manuscript “Divergent population fitness trajectories in Macao, 2005–2020: a specification-curve analysis of repeated cross-sectional surveillance reports.” The primary functional analysis uses 1,544 records and 26 population–test components. Each population contrast has 24 nominal analytical configurations; preschool children have eight distinct formulas. The source statistics come from the official English-language Macao population fitness surveillance reports for 2005, 2010, 2015 and 2020. The archive contains the curated dataset and data dictionary, source-page and table mappings, the candidate-test eligibility audit, Python analysis and plotting code, software requirements, formula-equivalence maps, decision-factor results, sensitivity analyses, figure-source data, generated figures, and the checked data and supplementary-table workbooks with their companion sources. No participant-level or identifiable data, official-report PDFs or journal full texts are distributed. This release includes a refined verification entry point that distinguishes exact output reproduction from differences confined to three recorded environment fields. All scientific-output and protected-input checks remain enforced. Two clean reruns in separate output directories, using Python 3.12.10 and 3.12.14 with NumPy 2.5.2 on Windows, reproduced all 153 statistical CSV outputs byte for byte. The reference-environment run also reproduced all six checked JSON files exactly; the alternate run differed only in the recorded Python version. The statistical calculation modules, numerical results, figures, figure sources and checked workbooks are unchanged by this verification refinement. Current validation evidence and preserved historical verification records are identified separately in the archive. The source dataset for reuse and recomputation is data/macao_fitness_M1.tsv. The README and release manifest distinguish current analysis inputs from frozen regression fixtures and historical workbook provenance fields. UTF-8 reading guidance is provided for files with or without a byte-order mark; existing data-file bytes have been preserved. CC BY 4.0 applies only to the authors’ licensable data curation, harmonisation, original metadata, documentation, analysis outputs (including the generated figure files), and figure-source data. Embedded fonts in figure PDFs retain their own rights; no standalone fonts are bundled. Author-created Python code is licensed under the MIT License. These licences do not relicense the Macao official reports or their original content. The 19 age-band population counts from United Nations Statistics Division, Demographic Yearbook 2021, Table 7, and their direct reproductions remain third-party UN data under the UNdata Conditions of Use. Full scope and attribution details are provided in LICENSE_DATA.md, LICENSE_CODE.txt and THIRD_PARTY_MATERIALS.md.

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

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. · 394 citations · ⚡54
#computer vision Review Mar 2008

Agile methods in European embedded software development organisations: a survey on the actual use and usefulness of Extreme Programming and Scrum

The results show that the embedded industry has been able to apply agile methods in its development processes and that the appreciation of the agile methods and their individual practices appears to increase once adopted and applied in practice.

O. Salo, P. Abrahamsson · 238 citations · ⚡9
#computer vision Open access Jul 2017

What happens when software developers are (un)happy

Consequences of happiness and unhappiness that are beneficial and detrimental for developers' mental well-being, the software development process, and the produced artifacts are found.

D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al. · 236 citations · ⚡13
#computer vision Open access Oct 2004

Mobile-D: an agile approach for mobile application development

The Mobile-D approach is briefly outlined here and the experiences gained from four case studies are discussed, which helped develop an agile development approach for mobile application development.

P. Abrahamsson, Antti Hanhineva, H. Hulkko et al. · 225 citations · ⚡18

Related blog posts

GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

Microsoft Research Blog Oct 30, 2026

From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence

Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.

Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.