A methodology for controlling the size of a test suite
ACM Transactions on Software Engineering and Methodology (TOSEM)
The craft of software testing: subsystem testing including object-based and object-oriented testing
The craft of software testing: subsystem testing including object-based and object-oriented testing
An empirical investigation of program spectra
Proceedings of the 1998 ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
Effect of test set minimization on fault detection effectiveness
Software—Practice & Experience
Simulated annealing and genetic algorithms for optimal regression testing
Journal of Software Maintenance: Research and Practice
Multivariate visualization in observation-based testing
Proceedings of the 22nd international conference on Software engineering
Finding failures by cluster analysis of execution profiles
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Pursuing failure: the distribution of program failures in a profile space
Proceedings of the 8th European software engineering conference held jointly with 9th ACM SIGSOFT international symposium on Foundations of software engineering
Test-Suite Reduction and Prioritization for Modified Condition/Decision Coverage
IEEE Transactions on Software Engineering
CLOPE: a fast and effective clustering algorithm for transactional data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
An Empirical Study of the Effects of Minimization on the Fault Detection Capabilities of Test Suites
ICSM '98 Proceedings of the International Conference on Software Maintenance
ISSRE '03 Proceedings of the 14th International Symposium on Software Reliability Engineering
Bi-Criteria Models for All-Uses Test Suite Reduction
Proceedings of the 26th International Conference on Software Engineering
A concept analysis inspired greedy algorithm for test suite minimization
PASTE '05 Proceedings of the 6th ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Improving Fault Detection Capability by Selectively Retaining Test Cases during Test Suite Reduction
IEEE Transactions on Software Engineering
Call-Stack Coverage for GUI Test Suite Reduction
IEEE Transactions on Software Engineering
An experimental study of four typical test suite reduction techniques
Information and Software Technology
A novel approach for test suite reduction based on requirement relation contraction
Proceedings of the 2008 ACM symposium on Applied computing
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The aim has been to minimize regression test suites while retaining fault detection capability of the test suite admissible. An appropriate minimized test suite should exercise different execution paths within a program. However, minimization of test suites may result in significant fault detection loss. To alleviate the loss, a new bi-criteria heuristic algorithm, using cluster analysis of test cases execution profiles is proposed in this paper. Cluster analysis of execution profiles categorizes test cases according to their similarity in terms of exercising a certain coverage criterion. Considering additional coverage criteria the proposed algorithm samples some test cases from each cluster. These additional criteria exercise execution paths, different from those covered by the main testing criteria. Experiments on the Siemens suite manifest the applicability of the proposed approach and present interesting insights into the use of cluster analysis to the bi-criteria test suite reduction.