Skip to content
#software testing Open access

Reliable Defect Probabilities Across Software Releases: A Leakage-Controlled Calibration Study - Reproducibility Package

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

Abstract

Reproducibility package for Reliable Defect Probabilities Across Software Releases: A Leakage-Controlled Calibration Study. The original experiments cover 9 Java projects, 32 releases, 65 metrics, 14 chronological release transitions, four classifiers, and 56 project-transition-classifier tasks. The archive contains original Python source code, fixed configurations, tests, protocols, portable provenance metadata, and aggregate results. Version 1.1.0 adds the September 2026 exploratory temperature and beta calibration baselines, calibration-harm analyses, and a historical-only method-selection analysis. The original six-method analysis is retained separately from these exploratory extensions. The package includes 1,008 original metric rows, 1,680 extension metric rows, and 672 optimizer-fit records. Historical selection uses previously observed outcomes, with current target outcomes reserved for evaluation. Reproducibility limitation: the recorded extension run failed its strict all-metric reproduction check. The failure and a separate diagnostic are retained. The maximum probability difference was 1.22e-13, and continuous fields matched the fixed 1e-10 tolerance, but exact ranking ties and five threshold memberships changed. Exact all-metric replication is not claimed. The extracted package passed 31 tests; two benchmark-dependent tests were skipped because third-party data are not included. This archive excludes third-party benchmark rows, sample-level or file-level predictions, private out-of-fold arrays, credentials, caches, environments, manuscripts, cover letters, and journal templates. Obtain the Large Defect Prediction Benchmark v1.0 separately from https://doi.org/10.5281/zenodo.6342328 at Git commit 0d40a69f047d4f508f92e196b514a47bfa653da1 and review its reuse terms. Original software is distributed under the MIT License; this license does not relicense third-party datasets, dependencies, or other third-party materials. Previous version: https://doi.org/10.5281/zenodo.21508396. Concept DOI for all versions: https://doi.org/10.5281/zenodo.21508395. File: supporting_code.zip (1,002,950 bytes). SHA-256: c436cbcc6497364fc30405b8798536cb54f2958c63ae6626fa469755fb80ea12.

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.