Zhang, Jian.
Automatic Generation of Combinatorial Test Data [electronic resource] / by Jian Zhang, Zhiqiang Zhang, Feifei Ma. - XI, 90 p. 31 illus. online resource. - SpringerBriefs in Computer Science, 2191-5768 . - SpringerBriefs in Computer Science, .
Introduction to Combinatorial Testing -- Mathematical Construction Methods -- One Test at a Time -- The IPO Family -- Evolutionary Computation and Metaheuristics -- Evolutionary Computation and Metaheuristics -- Tools and Benchmarks -- Other Related Topics.
This book reviews the state-of-the-art in combinatorial testing, with particular emphasis on the automatic generation of test data. It describes the most commonly used approaches in this area - including algebraic construction, greedy methods, evolutionary computation, constraint solving and optimization - and explains major algorithms with examples. In addition, the book lists a number of test generation tools, as well as benchmarks and applications. Addressing a multidisciplinary topic, it will be of particular interest to researchers and professionals in the areas of software testing, combinatorics, constraint solving and evolutionary computation.
9783662434291
10.1007/978-3-662-43429-1 doi
Computer science.
Software engineering.
Computer science--Mathematics.
Artificial intelligence.
Computer Science.
Software Engineering.
Math Applications in Computer Science.
Artificial Intelligence (incl. Robotics).
QA76.758
005.1
Automatic Generation of Combinatorial Test Data [electronic resource] / by Jian Zhang, Zhiqiang Zhang, Feifei Ma. - XI, 90 p. 31 illus. online resource. - SpringerBriefs in Computer Science, 2191-5768 . - SpringerBriefs in Computer Science, .
Introduction to Combinatorial Testing -- Mathematical Construction Methods -- One Test at a Time -- The IPO Family -- Evolutionary Computation and Metaheuristics -- Evolutionary Computation and Metaheuristics -- Tools and Benchmarks -- Other Related Topics.
This book reviews the state-of-the-art in combinatorial testing, with particular emphasis on the automatic generation of test data. It describes the most commonly used approaches in this area - including algebraic construction, greedy methods, evolutionary computation, constraint solving and optimization - and explains major algorithms with examples. In addition, the book lists a number of test generation tools, as well as benchmarks and applications. Addressing a multidisciplinary topic, it will be of particular interest to researchers and professionals in the areas of software testing, combinatorics, constraint solving and evolutionary computation.
9783662434291
10.1007/978-3-662-43429-1 doi
Computer science.
Software engineering.
Computer science--Mathematics.
Artificial intelligence.
Computer Science.
Software Engineering.
Math Applications in Computer Science.
Artificial Intelligence (incl. Robotics).
QA76.758
005.1