Title: A Formal Notion of Program-Based Test Data Adequacy: October, 1982 (Classic Reprint)
Publisher: Forgotten Books
Publication Date: 2018
Language: English
ISBN 10: 0656021160
ISBN 13: 9780656021161
Binding: HRD
Condition: New
Weight: 278 grams

About this title

Synopsis

A formal guide to understanding how test data proves a program’s correctness, with practical ideas for designing effective tests.

This nonfiction work introduces a rigorous way to measure how well a set of test data can distinguish a program’s behavior from other programs with the same input-output results. It explains concepts like size-adequacy, branch coverage, and mutation analysis, and it shows how these ideas relate to making testing more reliable. The text also defines a small programming language to illustrate these ideas and presents results about when test data can or cannot be adequate.

Learn how different notions of adequacy compare, from distinguishing programs by size to ensuring coverage of program branches.
See how critical points and boundary values influence what tests must include.
Understand how mutation analysis helps test sets catch differences that matter in practice.
Explore theorems and arguments that connect test data choices to program size and structure.

Ideal for readers of theoretical computer science and software testing who want a clear framework for evaluating and improving test data.

"About this title" may belong to another edition of this title.

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