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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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ACM SIGSOFT Software Engineering Notes
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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.

192 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.
192 works in the cohort · of 4,299,418page 1 of 4

Labels cover 1 of 192 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 192 of 192 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.

afffundunlabeled
Performance modeling from software components
Xiuping Wu, Murray Woodside
2004· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
126
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
afffundunlabeled
Global software development
Filippo Lanubile, Daniela Damian, Heather L. Oppenheimer
2003· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
85
citations
affunlabeled
Technical debt
Philippe Kruchten, Robert L. Nord, İpek Özkaya, Davide Falessi
2013· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
84
citations
affunlabeled
Towards requirements-driven autonomic systems design
Alexei Lapouchnian, Sotirios Liaskos, John Mylopoulos, Yijun Yu
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
84
citations
affunlabeled
Human and social factors of software engineering
Michael John, Frank Maurer, Bjørnar Tessem
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · stsconsensus · none
67
citations
affaboutunlabeled
Cultural patterns in software process mishaps
Eve MacGregor, Yvonne Hsieh, Philippe Kruchten
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
61
citations
affunlabeled
Architectural knowledge and rationale
Paris Avgeriou, Philippe Kruchten, Patricia Lago, Paul Grisham, Dewayne E. Perry
2007· article· en· ACM SIGSOFT Software Engineering Notes· Engineering
machine prediction:candidate · noneconsensus · none
56
citations
affunlabeled
ACM SIGSOFT Empirical Standards Released
Paul Ralph
2021· article· en· ACM SIGSOFT Software Engineering Notes· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
52
citations
affunlabeled
Effects of agile practices on social factors
A. Law, Raylene Charron
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
46
citations
affunlabeled
Exploring initial challenges for green software engineering
Patricia Lago, Rick Kazman, Niklaus Meyer, Maurizio Morisio, Hausi Müller, Frances Paulisch
2013· article· en· ACM SIGSOFT Software Engineering Notes· Engineering
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Evolution of software engineers' personality profile
Daniel Varona, Luiz Fernando Capretz, Yadenis Piñero, Arif Raza
2012· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Strathcona example recommendation tool
Reid Holmes, Robert J. Walker, Gail C. Murphy
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Technical debt in software development
Philippe Kruchten, Robert L. Nord, İpek Özkaya, Joost Visser
2012· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations
afffundunlabeled
Merging partial behavioural models
Sebastián Uchitel, Marsha Chećhik
2004· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
33
citations
affunlabeled
SableSpMT
Christopher J. F. Pickett, Clark Verbrugge
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
SCQL
Abram Hindle, Daniel M. Germán
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
30
citations
affunlabeled
Aspect-oriented programming
Gregor Kiczales, Erik Hilsdale
2001· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
Facilitating software evolution research with kenyon
Jennifer L. Bevan, E. James Whitehead, Sunghun Kim, Michael W. Godfrey
2005· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
Managing technical debt in software development
İpek Özkaya, Philippe Kruchten, Robert L. Nord, Nanette Brown
2011· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
Composing features and resolving interactions
Jonathan D. Hay, Joanne M. Atlee
2000· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
WoSEF
Susan Elliot Sim, Rainer Koschke
2001· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
afffundunlabeled
Designing robust Java programs with exceptions
Martin P. Robillard, Gail C. Murphy
2000· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Global software development
Elizabeth Hargreaves, Daniela Damian, Filippo Lanubile, James Chisan
2004· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Leveraging "energy efficiency to software users"
Patricia Lago, Niklaus Meyer, Maurizio Morisio, Hausi Müller, Giuseppe Scanniello
2014· article· en· ACM SIGSOFT Software Engineering Notes· Engineering
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Assessment of Contemporary Modularization Techniques - ACoM'07
Alessandro Garcia, Phil Greenwood, George T. Heineman, Robert J. Walker, Yuanfang Cai, Hong Yul Yang +4 more
2007· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Towards using architectural knowledge
Paris Avgeriou, Patricia Lago, Philippe Kruchten
2009· article· en· ACM SIGSOFT Software Engineering Notes· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
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