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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Advanced Software Engineering Methodologies
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,299 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,299 works in the cohort · of 4,299,418page 1 of 26

Labels cover 1 of 1,299 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,299 of 1,299 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Requirements engineering
Bashar Nuseibeh, Steve Easterbrook
2000· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
1,810
citations
affunlabeled
Self-adaptive software
Mazeiar Salehie, Ladan Tahvildari
2009· article· en· ACM Transactions on Autonomous and Adaptive Systems· Computer Science
machine prediction:candidate · noneconsensus · none
1,243
citations
affno abstractunlabeled
Engineering Self-Adaptive Systems through Feedback Loops
Yuriy Brun, Giovanna Di Marzo Serugendo, Cristina Gacek, Holger Giese, Holger M. Kienle, Marin Litoiu +3 more
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
560
citations
affunlabeled
Getting started with ASPECTJ
Gregor Kiczales, Erik Hilsdale, Jim Hugunin, Mik Kersten, Jeffrey Palm, William G. Griswold
2001· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
540
citations
affno abstractunlabeled
Staged Configuration Using Feature Models
Krzysztof Czarnecki, Simon Helsen, Ulrich W. Eisenecker
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
427
citations
affunlabeled
Software aging
David Lorge Parnas
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
364
citations
affunlabeled
Cool features and tough decisions
Krzysztof Czarnecki, Paul Grünbacher, Rick Rabiser, Klaus Schmid, Andrzej Wąsowski
2012· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
322
citations
affunlabeled
abc
Pavel Avgustinov, Aske Simon Christensen, Laurie Hendren, Sascha Kuzins, Jennifer Lhoták, Ondřej Lhoták +4 more
2005· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
299
citations
affno abstractunlabeled
Specifying and analyzing early requirements in Tropos
Ariel Fuxman, Lin Liu, John Mylopoulos, Marco Pistore, Marco Roveri, Paolo Traverso
2004· article· en· Requirements Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
243
citations
affunlabeled
FeaturePlugin
Michał Antkiewicz, Krzysztof Czarnecki
2004· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
222
citations
affunlabeled
Large-scale complex IT systems
Ian Sommerville, Dave Cliff, Radu Călinescu, Justin Keen, Tim Kelly, Marta Kwiatkowska +2 more
2012· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
215
citations
affunlabeled
Agility and Architecture: Can They Coexist?
Pekka Abrahamsson, Muhammad Ali Babar, Philippe Kruchten
2010· article· en· IEEE Software· Computer Science
machine prediction:candidate · noneconsensus · none
173
citations
affunlabeled
Feature Models are Views on Ontologies
Krzysztof Czarnecki, Chang Hwan Kim, Karl Trygve Kalleberg
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
161
citations
affunlabeled
API-Evolution Support with Diff-CatchUp
Zhenchang Xing, Eleni Stroulia
2007· article· en· IEEE Transactions on Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
157
citations
affunlabeled
How API Documentation Fails
Gias Uddin, Martin P. Robillard
2015· article· en· IEEE Software· Computer Science
machine prediction:candidate · noneconsensus · none
157
citations
affunlabeled
Awareness requirements for adaptive systems
Vítor E. Silva Souza, Alexei Lapouchnian, William N. Robinson, John Mylopoulos
2011· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
155
citations
affno abstractunlabeled
Overview of Generative Software Development
Krzysztof Czarnecki
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
154
citations
affunlabeled
Merging partial behavioural models
Sebastián Uchitel, Marsha Chećhik
2004· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
123
citations
affunlabeled
Autonomic computing
Mazeiar Salehie, Ladan Tahvildari
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
123
citations
affunlabeled
The Variability Model of The Linux Kernel.
Steven She, Rafael Lotufo, Thorsten Berger, Andrzej Wąsowski, Krzysztof Czarnecki
2010· article· en· Variability Modelling of Software-Intensive Systems· Computer Science
machine prediction:candidate · noneconsensus · none
103
citations
affunlabeled
Aspect-oriented programming
Gregor Kiczales, Erik Hilsdale
2001· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
98
citations
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