Abstract
With the growth of complexity in the software system, to deliver reliable software products on time becomes a critical issue. Many software reliability growth models (SRGMs) have been proposed in the past three decades. However, most software reliability assessment processes and parameter estimations of models depend on the computations of the general-purposed numerical software. In this paper, we will present a powerful computer-aided reliability assessment tool for software based on object-oriented analysis and design-CARATS. CARATS can use both traditional SRGMs and neural-network methods to assess software reliability. This would greatly help project managers to make decisions during software development life cycle. Due to the characteristics of the special-purposed and object-oriented design, CARATS can analyze the software reliability easily, and is also more flexible to adopt different SRGMs than other existing software reliability analysis tools. © 2006 IEEE.