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  • Search: subject:"Test Suite"
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Subject
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Test Suite 2 Apriori 1 Attribute reduction 1 Bio Inspired Computation 1 Chaos Theory 1 Classification 1 Clustering 1 Combinatorial Testing 1 Convergence 1 Data Mining 1 Data Mining Techniques 1 Data mining 1 Decision tree 1 Diversity preservation 1 Firefly Algorithm 1 Hill Climbing 1 Local Optima 1 Many-objective optimisation 1 Multi-objective evolutionary algorithm 1 Optimization 1 Search Based Software Engineering 1 Selection Heuristic Feature Extraction 1 Selection mechanism 1 Software 1 Software Testing 1 Software testing 1 Steepest Ascent 1 Stochastic 1 Test Case Selection 1 Test Suite Optimization 1 Test suite Minimization 1 Theorie 1 Theory 1 Walking Fish Group (WFG) test suite 1 association rule 1 data mining 1 requirement traceability matrix 1 software testing 1 test suite minimisation 1
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Article 6
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Article in journal 1 Aufsatz in Zeitschrift 1 research-article 1
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English 6
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Subashini, B. 2 Banerjee, Soumya 1 Gladston, Angelin 1 Hart, Emma 1 Jeyamala, D. 1 Kannan, A. 1 Khari, Manju 1 Kumar, Prabhat 1 Mala, D. Jeya 1 Martí, Luis 1 Narayanasamy, P. 1 Nehemiah, H. Khanna 1 Pandey, Abhishek 1 Segredo, Eduardo 1 Sánchez-Pi, Nayat 1
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International Journal of Applied Metaheuristic Computing (IJAMC) 2 Data Technologies and Applications 1 International Journal of Knowledge-Based Organizations (IJKBO) 1 International Journal of Open Source Software and Processes (IJOSSP) 1 International journal of information systems and change management : IJISCM 1
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Other ZBW resources 5 ECONIS (ZBW) 1
Showing 1 - 6 of 6
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Test Case Selection Using Feature Extraction and Clustering
Gladston, Angelin; Nehemiah, H. Khanna; Narayanasamy, P.; … - In: International Journal of Knowledge-Based Organizations … 8 (2018) 2, pp. 18-31
This article explains the selection of important parameters from an execution pattern which brings out the details of the application of test cases. Hence, execution profiles are captured and a new execution profile-based clustering approach is chosen for test case selection, which uses three...
Persistent link: https://www.econbiz.de/10012046180
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Test suite reduction based on traceability matrix with association rule mining technique
Subashini, B.; Jeyamala, D. - In: International journal of information systems and change … 9 (2017) 3, pp. 205-237
Persistent link: https://www.econbiz.de/10011855767
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Selection methods and diversity preservation in many-objective evolutionary algorithms
Martí, Luis; Segredo, Eduardo; Sánchez-Pi, Nayat; … - In: Data Technologies and Applications 52 (2018) 4, pp. 502-519
-objective optimisation problems. The Walking Fish Group test suite, a set of optimisation problems with a scalable number of objective …
Persistent link: https://www.econbiz.de/10014712597
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Empirical Evaluation of Hill Climbing Algorithm
Khari, Manju; Kumar, Prabhat - In: International Journal of Applied Metaheuristic … 8 (2017) 4, pp. 27-40
The software is growing in size and complexity every day due to which strong need is felt by the research community to search for the techniques which can optimize test cases effectively. The current study is inspired by the collective behavior of finding paths from the colony of food and uses...
Persistent link: https://www.econbiz.de/10012042952
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Test Suite Optimization Using Chaotic Firefly Algorithm in Software Testing
Pandey, Abhishek; Banerjee, Soumya - In: International Journal of Applied Metaheuristic … 8 (2017) 4, pp. 41-57
algorithm is proposed for test suite optimization. Test suite optimization problem is modeled in the framework of firefly …
Persistent link: https://www.econbiz.de/10012042953
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An Effective Approach to Test Suite Reduction and Fault Detection Using Data Mining Techniques
Mala, D. Jeya; Subashini, B. - In: International Journal of Open Source Software and … 8 (2017) 4, pp. 1-31
techniques algorithm. This is healthier and the final test suite will identify the defects in the software, it will provide …
Persistent link: https://www.econbiz.de/10012046983
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