Software system testing and quality assurance
Software system testing and quality assurance
Data structures: form and function
Data structures: form and function
Comparing the Effectiveness of Software Testing Strategies
IEEE Transactions on Software Engineering
The complete guide to software testing
The complete guide to software testing
Managing the structured techniques: 4th edition
Managing the structured techniques: 4th edition
Experimental comparison of three system test strategies preliminary report
TAV3 Proceedings of the ACM SIGSOFT '89 third symposium on Software testing, analysis, and verification
Testing and integration strategies of large software systems
Testing and integration strategies of large software systems
Software Engineering
Software Verification and Validation: Realistic Project Approaches
Software Verification and Validation: Realistic Project Approaches
Art of Software Testing
Softwear Reliability
Software unit test coverage and adequacy
ACM Computing Surveys (CSUR)
Empirical studies of software engineering: a roadmap
Proceedings of the Conference on The Future of Software Engineering
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There has been much discussion about the merits of various testing and integration strategies. Top-down, bottom-up, big-bang, and sandwich integration strategies are advocated by various authors. Also, some authors insist that modules be unit tested, while others believe that unit testing diverts resources from more effective verification processes. This article addresses the ability of the aforementioned integration strategies to detect defects, and produce reliable systems. It also explores the efficacy of spot unit testing, and compares phased and incremental versions of top-down and bottom-up integration strategies. Relatively large artificial software systems were constructed using a code generator with ten basic module templates. These systems were seeded with known defects and tested using the above testing and integration strategies. A number of experiments were then conducted using a simulator whose validity was established by comparing results against these artificial systems. The defect detection ability and resulting system reliability were measured for each strategy. Results indicated that top-down integration strategies are generally most effective in terms of defect correction. Top-down and big-bang strategies produced the most reliable systems. Results favored neither those strategies that incorporate spot unit testing nor those that do not; also, results favored neither phased nor incremental strategies.