On the public citation graph

Full predicate coverage for testing SQL database queries

0 signed · 78 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/stvr.264openalex-snapshot
Generating test data from state‐based specifications
inferredcites →https://doi.org/10.1002/stvr.286openalex-snapshot
An AGENDA for testing relational database applications
inferredcites →https://doi.org/10.1002/stvr.303openalex-snapshot
Experimental evaluation of the tolerance for control‐flow test criteria
inferredcites →https://doi.org/10.1002/stvr.306openalex-snapshot
A formal analysis of MCDC and RCDC test criteria
inferredcites →https://doi.org/10.1002/stvr.386openalex-snapshot
Reconciling perspectives of software logic testing
inferredcites →https://doi.org/10.1007/3-540-60584-3_25openalex-snapshot
’Favourite’ SQL-statements — An empirical analysis of SQL-usage in commercial applications
inferredcites →https://doi.org/10.1007/s00778-006-0028-8openalex-snapshot
A framework for efficient regression tests on database applications
inferredcites →https://doi.org/10.1016/j.infsof.2005.05.003openalex-snapshot
On the relationship between two control-flow coverage criteria: all JJ-paths and MCDC
inferredcites →https://doi.org/10.1016/j.infsof.2006.06.009openalex-snapshot
Mutating database queries
inferredcites →https://doi.org/10.1016/j.jss.2005.05.030openalex-snapshot
A comparison of MC/DC, MUMCUT and several other coverage criteria for logical decisions
inferredcites →https://doi.org/10.1016/j.jss.2005.06.028openalex-snapshot
Semantic errors in SQL queries: A quite complete list
inferredcites →https://doi.org/10.1017/cbo9780511809163openalex-snapshot
Introduction to Software Testing
inferredcites →https://doi.org/10.1049/sej.1994.0025openalex-snapshot
Applicability of modified condition/decision coverage to software testing
inferredcites →https://doi.org/10.1109/32.48939openalex-snapshot
Automated test case generation for programs specified by relational algebra queries
inferredcites →https://doi.org/10.1109/ase.2006.27openalex-snapshot
Command-Form Coverage for Testing Database Applications
inferredcites →https://doi.org/10.1109/ase.2008.34openalex-snapshot
Query-Aware Test Generation Using a Relational Constraint Solver
inferredcites →https://doi.org/10.1109/icde.2007.367896openalex-snapshot
Reverse Query Processing
inferredcites →https://doi.org/10.1109/icse.2004openalex-snapshot
Proceedings. 26th International Conference on Software Engineering
inferredcites →https://doi.org/10.1109/icsea.2008.57openalex-snapshot
Data Flow Testing of SQL-Based Active Database Applications
inferredcites →https://doi.org/10.1109/icsm.2005.15openalex-snapshot
A safe regression test selection technique for database-driven applications
inferredcites →https://doi.org/10.1109/icst.2009.13openalex-snapshot
Using a Fault Hierarchy to Improve the Efficiency of DNF Logic Mutation Testing
inferredcites →https://doi.org/10.1109/issre.2002.1173204openalex-snapshot
Proceedings 13th International Symposium on Software Reliability Engineering
inferredcites →https://doi.org/10.1109/qsic.2005.27openalex-snapshot
Fault-Based Testing of Database Application Programs with Conceptual Data Model
inferredcites →https://doi.org/10.1109/qsic.2008.33openalex-snapshot
MUSIC: Mutation-based SQL Injection Vulnerability Checking
inferredcites →https://doi.org/10.1109/scam.2008.36openalex-snapshot
Constructing Subtle Faults Using Higher Order Mutation Testing
inferredcites →https://doi.org/10.1109/taic-part.2006.28openalex-snapshot
Testing the Implementation of Business Rules Using Intensional Database Tests
inferredcites →https://doi.org/10.1109/tse.2003.1183927openalex-snapshot
Test-suite reduction and prioritization for modified condition/decision coverage
inferredcites →https://doi.org/10.1109/tse.2006.83openalex-snapshot
Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria
inferredcites →https://doi.org/10.1145/1134285.1134301openalex-snapshot
An intensional approach to the specification of test cases for database applications
inferredcites →https://doi.org/10.1145/1147214.1147221openalex-snapshot
A practical guide to SQL white-box testing
inferredcites →https://doi.org/10.1145/1273463.1273484openalex-snapshot
Dynamic test input generation for database applications
inferredcites →https://doi.org/10.1145/1342211.1342228openalex-snapshot
Database-aware test coverage monitoring
inferredcites →https://doi.org/10.1145/1344452.1344462openalex-snapshot
A controlled experiment on white-box database testing
inferredcites →https://doi.org/10.1145/1385269.1385277openalex-snapshot
Query-based test generation for database applications
inferredcites →https://doi.org/10.1145/1594156openalex-snapshot
Proceedings of the Second International Workshop on Testing Database Systems
inferredcites →https://doi.org/10.1145/347324.348954openalex-snapshot
A framework for testing database applications
inferredcites →https://doi.org/10.1145/362384.362685openalex-snapshot
A relational model of data for large shared data banks
inferredcites →https://doi.org/10.1145/587051openalex-snapshot
Proceedings of the 10th ACM SIGSOFT symposium on Foundations of software engineering
inferredcites →https://doi.org/10.1145/940071.940086openalex-snapshot
A family of test adequacy criteria for database-driven applications
inferredcites →https://doi.org/10.2307/249587openalex-snapshot
User-Database Interface: The Effect of Abstraction Levels on Query Performance*
inferredcites →https://doi.org/10.3217/jucs-015-03-0584openalex-snapshot
Structural Coverage Criteria for Testing SQL Queries
inferredcites →https://doi.org/10.4018/978-1-59140-255-8.ch008openalex-snapshot
Regression Test Selection for Database Applications

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/stvr.1675openalex-snapshot
A systematic literature review of how mutation testing supports quality assurance processes
inferred← citeshttps://doi.org/10.1007/978-3-030-58115-2_16openalex-snapshot
Many-Objective Test Database Generation for SQL
inferred← citeshttps://doi.org/10.1007/978-3-030-79382-1_14openalex-snapshot
Challenges and Perils of Testing Database Manipulation Code
inferred← citeshttps://doi.org/10.1007/978-3-642-12251-4_15openalex-snapshot
Applying Constraint Logic Programming to SQL Test Case Generation
inferred← citeshttps://doi.org/10.1007/978-3-642-34188-5_19openalex-snapshot
Dynamic Test Data Generation for Data Intensive Applications
inferred← citeshttps://doi.org/10.1007/978-3-642-34281-3_32openalex-snapshot
ConSMutate: SQL Mutants for Guiding Concolic Testing of Database Applications
inferred← citeshttps://doi.org/10.1007/s00778-015-0395-0openalex-snapshot
Data generation for testing and grading SQL queries
inferred← citeshttps://doi.org/10.1007/s10515-014-0158-yopenalex-snapshot
Program-input generation for testing database applications using existing database states
inferred← citeshttps://doi.org/10.1007/s10515-017-0212-7openalex-snapshot
Incremental test data generation for database queries
inferred← citeshttps://doi.org/10.1007/s11219-019-09453-6openalex-snapshot
Extending symbolic execution for automated testing of stored procedures
inferred← citeshttps://doi.org/10.1016/j.csi.2014.10.003openalex-snapshot
Automatic test case generation for WS-Agreements using combinatorial testing
inferred← citeshttps://doi.org/10.1016/j.infsof.2011.03.009openalex-snapshot
A logic mutation approach to selective mutation for programs and queries
inferred← citeshttps://doi.org/10.1016/j.is.2022.102105openalex-snapshot
Best practices of testing database manipulation code
inferred← citeshttps://doi.org/10.1016/j.scico.2015.03.005openalex-snapshot
Relational symbolic execution of SQL code for unit testing of database programs
inferred← citeshttps://doi.org/10.1017/s0960129512000291openalex-snapshot
Applications and extensions of Alloy: past, present and future
inferred← citeshttps://doi.org/10.1109/aitest70988.2026.00018openalex-snapshot
A RAG approach for assisting testers in database query testing
inferred← citeshttps://doi.org/10.1109/ase.2013.6693083openalex-snapshot
SEDGE: Symbolic example data generation for dataflow programs
inferred← citeshttps://doi.org/10.1109/icde.2011.5767876openalex-snapshot
Generating test data for killing SQL mutants: A constraint-based approach
inferred← citeshttps://doi.org/10.1109/icst.2012.87openalex-snapshot
Test Adequacy Evaluation for the User-database Interaction: A Specification-Based Approach
inferred← citeshttps://doi.org/10.1109/icstw.2016.19openalex-snapshot
Pairwise Coverage-Based Testing with Selected Elements in a Query for Database Applications
inferred← citeshttps://doi.org/10.1109/icstw50294.2020.00022openalex-snapshot
Model-Based Testing of Read Only Graph Queries
inferred← citeshttps://doi.org/10.1109/issre.2014.22openalex-snapshot
Experience Report: Verifying Data Interaction Coverage to Improve Testing of Data-Intensive Systems: The Norwegian Customs and Excise Case Study
inferred← citeshttps://doi.org/10.1109/itng.2013.54openalex-snapshot
SynConSMutate: Concolic Testing of Database Applications via Synthetic Data Guided by SQL Mutants
inferred← citeshttps://doi.org/10.1109/smc42975.2020.9283198openalex-snapshot
MutShrink: a Mutation-based Test Database Shrinking Method
inferred← citeshttps://doi.org/10.1109/tkde.2022.3153651openalex-snapshot
A Scalable Query-Aware Enormous Database Generator for Database Evaluation
inferred← citeshttps://doi.org/10.1109/tla.2010.5514443openalex-snapshot
Populating Test Databases for Testing SQL Queries
inferred← citeshttps://doi.org/10.1109/tr.2016.2618121openalex-snapshot
Modeling and Verifying Combinatorial Interactions to Test Data Intensive Systems: Experience at the Norwegian Customs Directorate
inferred← citeshttps://doi.org/10.1109/tr.2018.2809866openalex-snapshot
Early Integration Testing for Entity Reconciliation in the Context of Heterogeneous Data Sources
inferred← citeshttps://doi.org/10.1109/tse.2016.2519032openalex-snapshot
Coverage-Aware Test Database Reduction
inferred← citeshttps://doi.org/10.1145/1594156.1594164openalex-snapshot
Query-aware shrinking test databases
inferred← citeshttps://doi.org/10.1145/1808266.1808276openalex-snapshot
Constraint-based test database generation for SQL queries
inferred← citeshttps://doi.org/10.1145/3448016.3457252openalex-snapshot
Shedding Light on Opaque Application Queries
inferred← citeshttps://doi.org/10.1145/3649849openalex-snapshot
VeriEQL: Bounded Equivalence Verification for Complex SQL Queries with Integrity Constraints
inferred← citeshttps://doi.org/10.1145/3672449openalex-snapshot
An Empirical Study on the Characteristics of Database Access Bugs in Java Applications
inferred← citeshttps://doi.org/10.23919/mipro57284.2023.10159706openalex-snapshot
Partial SQL Query Assessment
inferred← citeshttps://doi.org/10.35940/ijitee.j1065.08810s19openalex-snapshot
Efficient Processing of Queries using Filtered Bitmap Index with Multi-Join Multiple Set Predicates
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.