Title :
Good enough versus high assurance software testing and analysis methods
Author_Institution :
Dept. of Comput. Sci. & Eng., California Univ., San Diego, La Jolla, CA, USA
Abstract :
Good enough evaluation methods are reviewed, including low volume statistical testing. High assurance software is viewed as requiring high volume statistical testing, or analysis methods that prove that a program has certain desired properties. The weaknesses of some previous high assurance strategies are discussed, and a new approach called pattern directed testing and analysis is described. In this approach, design patterns are used to give high assurance for critical generic properties, and enough assurance for problem dependent functionality
Keywords :
object-oriented programming; program testing; software performance evaluation; software reliability; statistical analysis; analysis methods; critical generic properties; design patterns; good enough evaluation methods; high assurance software testing; high assurance strategies; high volume statistical testing; low volume statistical testing; pattern directed testing; problem dependent functionality; Application software; Containers; Guidelines; Pattern analysis; Production; Software testing; Statistical analysis; Stress; Thumb; Transient response;
Conference_Titel :
High-Assurance Systems Engineering Symposium, 1998. Proceedings. Third IEEE International
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-9221-9
DOI :
10.1109/HASE.1998.731609