{
"item_title" : "Automatic Generation of Combinatorial Test Data",
"item_author" : [" Jian Zhang", "Zhiqiang Zhang", "Feifei Ma "],
"item_description" : "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.",
"item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/66/243/428/3662434288_b.jpg",
"price_data" : {
"retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Automatic Generation of Combinatorial Test Data
Overview
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.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9783662434284
- ISBN-10: 3662434288
- Publisher: Springer
- Publish Date: September 2014
- Dimensions: 9.21 x 6.14 x 0.22 inches
- Shipping Weight: 0.36 pounds
- Page Count: 90
Related Categories
