MétaCan
Menu
Cohort builder

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.

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Software Testing and Debugging Techniques
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

affaffiliation
fundfunder
venuejournal
aboutaboutness

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

996 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
996 works in the cohort · of 4,299,418page 1 of 20

Labels cover 2 of 996 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 996 of 996 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.

affno abstractunlabeled
The software model checker Blast
Dirk Beyer, Thomas A. Henzinger, Ranjit Jhala, Rupak Majumdar
2007· article· en· International Journal on Software Tools for Technology Transfer· Computer Science
machine prediction:candidate · noneconsensus · none
594
citations
afffundno abstractunlabeled
GitHub Copilot AI pair programmer: Asset or Liability?
Arghavan Moradi Dakhel, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Zhen Ming Jiang
2023· article· en· Journal of Systems and Software· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
340
citations
afffundno abstractunlabeled
Optimizing Java Bytecode Using the Soot Framework: Is It Feasible?
Raja Vallée-Rai, Étienne Gagnon, Laurie Hendren, Patrick Lam, Patrice Pominville, Vijay Sundaresan
2000· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
313
citations
affno abstractunlabeled
A UML-Based Approach to System Testing
Lionel Briand, Yvan Labiche
2002· article· en· Software & Systems Modeling· Computer Science
machine prediction:candidate · noneconsensus · none
303
citations
affno abstractunlabeled
On testing machine learning programs
Houssem Ben Braiek, Foutse Khomh
2020· article· en· PolyPublie (École Polytechnique de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
198
citations
affaboutno abstractunlabeled
A survey of software testing practices in Canada
Vahid Garousi, Junji Zhi
2013· article· en· Journal of Systems and Software· Computer Science
machine prediction:candidate · metaresearchconsensus · none
168
citations
affno abstractunlabeled
Static test case prioritization using topic models
Stephen W. Thomas, Hadi Hemmati, Ahmed E. Hassan, Dorothea Blostein
2012· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
156
citations
affunlabeled
Calysto
Domagoj Babić, Alan J. Hu
2008· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
146
citations
affno abstractunlabeled
A UML-Based Approach to System Testing
Lionel Briand, Yvan Labiche
2001· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
137
citations
afffundunlabeled
Timed Wp-method: testing real-time systems
Abdeslam En‐Nouaary, Rachida Dssouli, Ferhat Khendek
2002· article· en· IEEE Transactions on Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
135
citations
afffundno abstractunlabeled
Prioritizing test cases with string distances
Yves Ledru, Alexandre Petrenko, Sergiy Boroday, Nadine Mandran
2011· article· en· Automated Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
125
citations
affunlabeled
Symbolic optimization with SMT solvers
Yi Li, Aws Albarghouthi, Zachary Kincaid, Arie Gurfinkel, Marsha Chećhik
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
122
citations
affno abstractunlabeled
A systematic mapping study of web application testing
Vahid Garousi, Ali Mesbah, Aysu Betin-Can, Shabnam Mirshokraie
2013· article· en· Information and Software Technology· Computer Science
machine prediction:candidate · metaresearchconsensus · none
108
citations
affno abstractunlabeled
A UML-Based Approach to System Testing
Lionel Briand, Yvan Labiche
2002· article· en· Software & Systems Modeling· Computer Science
machine prediction:candidate · noneconsensus · none
107
citations
affunlabeled
Neuro-Symbolic Program Synthesis
Emilio Parisotto, Abdelrahman Mohamed, Rishabh Singh, Lihong Li, Dengyong Zhou, Pushmeet Kohli
2016· article· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
105
citations
affno abstractunlabeled
A state-based approach to integration testing based on UML models
Shaukat Ali, Lionel Briand, Muhammad Jaffar-Ur Rehman, Hajra Asghar, Muhammad Zohaib Iqbal, Aamer Nadeem
2006· article· en· Information and Software Technology· Computer Science
machine prediction:candidate · noneconsensus · none
103
citations
affno abstractunlabeled
Application-Only Call Graph Construction
Karim Ali, Ondřej Lhoták
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
100
citations
affunlabeled
BugsJS: a Benchmark of JavaScript Bugs
Péter Gyimesi, Béla Vancsics, Andrea Stocco, Davood Mazinanian, Árpád Beszédes, Rudolf Ferenć +1 more
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
94
citations
afffundunlabeled
Optimizing the length of checking sequences
Robert M. Hierons, Hasan Ural
2006· article· en· IEEE Transactions on Computers· Computer Science
machine prediction:candidate · noneconsensus · none
93
citations

How this was built: Screen · Findings · About