Test set size minimization and fault detection effectiveness: a case study in a space application
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ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
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Software testing and maintenance are the two most expensive phases of the software life cycle. Why? And why, in general, are customers not satisfied with the quality of software? Studies have shown that approximately 20% of a software system is responsible for 80% of the faults; and over the lifetime of an average software system, as much as 70% of the cost is estimated to be dedicated to testing and maintenance. Clearly, an appropriate methodology ought to be employed to address these high-leverage concerns. With the increased emphasis on software quality and the pressure to deliver software faster and cheaper, such a methodology should encompass software design, architecture, development, testing, and maintenance as a whole, and provide an integrated solution that leads to the creation of more dependable software. In addition, it is also crucial to have a set of effective tools with user-friendly interfaces available to software practitioners to apply this methodology in real-life contexts. In this presentation, we will explain how to take advantage of sophisticated analysis of the dynamic behavior of the software being developed to help programmers, as well as testers, accomplish their assignments more effectively and efficiently.